├── MDA.py ├── PPMI ├── drug_net_1.mat ├── drug_net_10.mat ├── drug_net_2.mat ├── drug_net_3.mat ├── drug_net_4.mat ├── drug_net_5.mat ├── drug_net_6.mat ├── drug_net_7.mat ├── drug_net_8.mat └── drug_net_9.mat ├── README.md ├── Table S10.xlsx ├── __pycache__ └── utils.cpython-36.pyc ├── cvae.py ├── dataset ├── disease_dict ├── drugDisease.txt ├── drugNets │ ├── drugProtein.txt │ ├── drugdrug.txt │ ├── drugsideEffect.txt │ ├── drugsimBPnet.txt │ ├── drugsimCCnet.txt │ ├── drugsimChemicalnet.txt │ ├── drugsimMFnet.txt │ ├── drugsimMetanet.txt │ ├── drugsimTherapeuticnet.txt │ └── drugsimWmnet.txt ├── drug_dict ├── protein_dict └── se_dict ├── drugmdaFeatures.txt ├── example_params.txt ├── getFeatures.py └── preprocessing ├── GetPPMIMatrix.m ├── RandSurf.m ├── ScaleSimMat.m ├── compute_similarity.m └── dataprocess.m /MDA.py: -------------------------------------------------------------------------------- 1 | from keras.models import Model 2 | from keras.optimizers import SGD 3 | from keras.layers import Input, Dense, concatenate 4 | from keras import regularizers 5 | 6 | 7 | def build_AE(input_dim, encoding_dims): 8 | """ 9 | Function for building autoencoder. 10 | """ 11 | # input layer 12 | input_layer = Input(shape=(input_dim, )) 13 | hidden_layer = input_layer 14 | for i in range(0, len(encoding_dims)): 15 | # generate hidden layer 16 | if i == len(encoding_dims)/2: 17 | hidden_layer = Dense(encoding_dims[i], 18 | activation='sigmoid', 19 | # activity_regularizer=regularizers.l1(10e-6), 20 | name='middle_layer')(hidden_layer) 21 | else: 22 | hidden_layer = Dense(encoding_dims[i], 23 | activation='sigmoid', 24 | name='layer_' + str(i+1))(hidden_layer) 25 | 26 | # reconstruction of the input 27 | decoded = Dense(input_dim, 28 | activation='sigmoid')(hidden_layer) 29 | 30 | # autoencoder model 31 | sgd = SGD(lr=0.01, momentum=0.9, decay=0.0, nesterov=False) 32 | model = Model(inputs=input_layer, outputs=decoded) 33 | model.compile(optimizer=sgd, loss='binary_crossentropy') 34 | print (model.summary()) 35 | 36 | return model 37 | 38 | 39 | def build_MDA(input_dims, encoding_dims): 40 | """ 41 | Function for building multimodal autoencoder. 42 | """ 43 | # input layers 44 | input_layers = [] 45 | for dim in input_dims: 46 | input_layers.append(Input(shape=(dim, ))) 47 | 48 | # hidden layers 49 | hidden_layers = [] 50 | for j in range(0, len(input_dims)): 51 | hidden_layers.append(Dense(encoding_dims[0]/len(input_dims), 52 | # activity_regularizer=regularizers.l1(gamma[j]), 53 | activation='sigmoid')(input_layers[j])) 54 | 55 | # Concatenate layers 56 | if len(encoding_dims) == 1: 57 | hidden_layer = concatenate(hidden_layers, name='middle_layer') 58 | else: 59 | hidden_layer = concatenate(hidden_layers) 60 | 61 | # middle layers 62 | for i in range(1, len(encoding_dims)-1): 63 | if i == len(encoding_dims)/2: 64 | hidden_layer = Dense(encoding_dims[i], 65 | name='middle_layer', 66 | # kernel_regularizer=regularizers.l1(1e-5), 67 | activation='sigmoid')(hidden_layer) 68 | else: 69 | hidden_layer = Dense(encoding_dims[i], 70 | # kernel_regularizer=regularizers.l1(1e-5), 71 | activation='sigmoid')(hidden_layer) 72 | 73 | if len(encoding_dims) != 1: 74 | # reconstruction of the concatenated layer 75 | hidden_layer = Dense(encoding_dims[0], 76 | activation='sigmoid')(hidden_layer) 77 | 78 | # hidden layers 79 | hidden_layers = [] 80 | for j in range(0, len(input_dims)): 81 | hidden_layers.append(Dense(encoding_dims[-1]/len(input_dims), 82 | activation='sigmoid')(hidden_layer)) 83 | # output layers 84 | output_layers = [] 85 | for j in range(0, len(input_dims)): 86 | output_layers.append(Dense(input_dims[j], 87 | activation='sigmoid')(hidden_layers[j])) 88 | 89 | # autoencoder model 90 | sgd = SGD(lr=0.01, momentum=0.9, decay=0.0, nesterov=False) 91 | model = Model(inputs=input_layers, outputs=output_layers) 92 | model.compile(optimizer=sgd, loss='binary_crossentropy') 93 | print (model.summary()) 94 | 95 | return model 96 | 97 | 98 | def build_MDA2(input_dims, encoding_dims): 99 | """ 100 | Function for building mixed multimodal autoencoder. 101 | """ 102 | # input layers 103 | input_layers = [] 104 | for dim in input_dims: 105 | input_layers.append(Input(shape=(dim, ))) 106 | 107 | # ENCODER 108 | 109 | # hidden layer 110 | hidden_layers = input_layers 111 | for i in range(0, len(encoding_dims)-1): 112 | tmp_layers = [] 113 | if isinstance(encoding_dims[i], list) and isinstance(encoding_dims[i+1], int): 114 | tmp1_layers = [] 115 | for j in range(0, len(encoding_dims[i])): 116 | tmp1_layers.append(Dense(encoding_dims[i][j], 117 | # kernel_initializer='random_uniform', 118 | activation='sigmoid')(hidden_layers[j])) 119 | tmp_layers.append(concatenate(tmp1_layers)) 120 | elif isinstance(encoding_dims[i], int): 121 | tmp_layers.append(Dense(encoding_dims[i], 122 | # kernel_initializer='random_uniform', 123 | activation='sigmoid')(hidden_layers[0])) 124 | else: 125 | for j in range(0, len(encoding_dims[i])): 126 | tmp_layers.append(Dense(encoding_dims[i][j], 127 | # kernel_initializer='random_uniform', 128 | # activity_regularizer=regularizers.l1(0.0001), 129 | activation='sigmoid')(hidden_layers[j])) 130 | hidden_layers = tmp_layers 131 | 132 | # middle layer 133 | tmp_layers = [] 134 | tmp_layers.append(Dense(encoding_dims[-1], 135 | name='middle_layer', 136 | # kernel_initializer='random_uniform', 137 | # activity_regularizer=regularizers.l1(10e-6), 138 | activation='sigmoid')(hidden_layers[0])) 139 | hidden_layers = tmp_layers 140 | 141 | # DECODER 142 | 143 | # hidden layers 144 | for i in range(2, len(encoding_dims) + 1): 145 | tmp_layers = [] 146 | if isinstance(encoding_dims[-i], int): 147 | tmp_layers.append(Dense(encoding_dims[-i], 148 | # kernel_initializer='random_uniform', 149 | activation='sigmoid')(hidden_layers[0])) 150 | elif isinstance(encoding_dims[-i], list) and isinstance(encoding_dims[-i+1], int): 151 | tmp = Dense(sum(encoding_dims[-i]), 152 | # kernel_initializer='random_uniform', 153 | activation='sigmoid')(hidden_layers[0]) 154 | for j in range(0, len(encoding_dims[-i])): 155 | tmp_layers.append(Dense(encoding_dims[-i][j], 156 | # kernel_initializer='random_uniform', 157 | activation='sigmoid')(tmp)) 158 | else: 159 | for j in range(0, len(encoding_dims[-i])): 160 | tmp_layers.append(Dense(encoding_dims[-i][j], 161 | # kernel_initializer='random_uniform', 162 | activation='sigmoid')(hidden_layers[j])) 163 | hidden_layers = tmp_layers 164 | 165 | # output layers 166 | output_layers = [] 167 | for j in range(0, len(input_dims)): 168 | output_layers.append(Dense(input_dims[j], 169 | # kernel_initializer='random_uniform', 170 | activation='sigmoid')(hidden_layers[j])) 171 | 172 | # autoencoder model 173 | sgd = SGD(lr=0.01, momentum=0.9, decay=0.0, nesterov=False) 174 | model = Model(inputs=input_layers, outputs=output_layers) 175 | model.compile(optimizer=sgd, loss='binary_crossentropy') 176 | print (model.summary()) 177 | 178 | return model 179 | -------------------------------------------------------------------------------- /PPMI/drug_net_1.mat: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ChengF-Lab/deepDR/357af1a1e51b58328a6d5d7318c22068b86a69bb/PPMI/drug_net_1.mat -------------------------------------------------------------------------------- /PPMI/drug_net_10.mat: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ChengF-Lab/deepDR/357af1a1e51b58328a6d5d7318c22068b86a69bb/PPMI/drug_net_10.mat -------------------------------------------------------------------------------- /PPMI/drug_net_2.mat: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ChengF-Lab/deepDR/357af1a1e51b58328a6d5d7318c22068b86a69bb/PPMI/drug_net_2.mat -------------------------------------------------------------------------------- /PPMI/drug_net_3.mat: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ChengF-Lab/deepDR/357af1a1e51b58328a6d5d7318c22068b86a69bb/PPMI/drug_net_3.mat -------------------------------------------------------------------------------- /PPMI/drug_net_4.mat: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ChengF-Lab/deepDR/357af1a1e51b58328a6d5d7318c22068b86a69bb/PPMI/drug_net_4.mat -------------------------------------------------------------------------------- /PPMI/drug_net_5.mat: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ChengF-Lab/deepDR/357af1a1e51b58328a6d5d7318c22068b86a69bb/PPMI/drug_net_5.mat -------------------------------------------------------------------------------- /PPMI/drug_net_6.mat: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ChengF-Lab/deepDR/357af1a1e51b58328a6d5d7318c22068b86a69bb/PPMI/drug_net_6.mat -------------------------------------------------------------------------------- /PPMI/drug_net_7.mat: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ChengF-Lab/deepDR/357af1a1e51b58328a6d5d7318c22068b86a69bb/PPMI/drug_net_7.mat -------------------------------------------------------------------------------- /PPMI/drug_net_8.mat: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ChengF-Lab/deepDR/357af1a1e51b58328a6d5d7318c22068b86a69bb/PPMI/drug_net_8.mat -------------------------------------------------------------------------------- /PPMI/drug_net_9.mat: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ChengF-Lab/deepDR/357af1a1e51b58328a6d5d7318c22068b86a69bb/PPMI/drug_net_9.mat -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 | # deepDR 2 | ## paper "deepDR: A network-based deep learning approach to in silico drug repositioning" 3 | 4 | ### 'dataset' directory 5 | Contain the gold standard drug-disease set and ten drug-related networks. 6 | ### 'preprocessing' directory 7 | Contain the preprocessing code to generate PPMI matrix. 8 | ### 'PPMI' directory 9 | Contain the PPMI matrices of ten drug-related networks. 10 | ### Tutorial 11 | 1. Create two directories "test_models" and "test_results" in the project. 12 | 2. To get drug features learned by MDA, run 13 | - python getFeatures.py example_params.txt 14 | 3. To predict drug-disease associations by cVAE, run 15 | - pretraining with features: python cvae.py --dir dataset -a 6 -b 0.1 -m 300 --save --layer 1000 100 16 | - refine training with rating: python cvae.py --dir dataset --rating -a 15 -b 3 -m 500 --load 1 --layer 1000 100 17 | 18 | ### Requirements 19 | deepDR is tested to work under Python 3.6 20 | The required dependencies for deepDR are Keras, PyTorch, TensorFlow, numpy, scipy, and scikit-learn. 21 | -------------------------------------------------------------------------------- /Table S10.xlsx: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ChengF-Lab/deepDR/357af1a1e51b58328a6d5d7318c22068b86a69bb/Table S10.xlsx -------------------------------------------------------------------------------- /__pycache__/utils.cpython-36.pyc: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ChengF-Lab/deepDR/357af1a1e51b58328a6d5d7318c22068b86a69bb/__pycache__/utils.cpython-36.pyc -------------------------------------------------------------------------------- /cvae.py: -------------------------------------------------------------------------------- 1 | import argparse 2 | 3 | import torch 4 | from torch import nn 5 | from torch import optim 6 | from torch.nn import functional 7 | from torch.utils.data import DataLoader 8 | import numpy as np 9 | from sklearn.model_selection import KFold 10 | from sklearn.cross_validation import StratifiedKFold 11 | from sklearn.metrics import roc_auc_score 12 | from sklearn.metrics import average_precision_score 13 | from torch.autograd import Variable 14 | import matplotlib.pyplot as plt 15 | 16 | 17 | def regularization(mu, logvar): 18 | return -0.5 * torch.sum(1 + logvar - mu.pow(2) - logvar.exp()) 19 | 20 | 21 | def Guassian_loss(recon_x, x): 22 | weights = x * args.alpha + (1 - x) 23 | loss = x - recon_x 24 | loss = torch.sum(weights * loss * loss) 25 | return loss 26 | 27 | 28 | def BCE_loss(recon_x, x): 29 | eps = 1e-8 30 | loss = -torch.sum(args.alpha * torch.log(recon_x + eps) * x + torch.log(1 - recon_x + eps) * (1 - x)) 31 | return loss 32 | 33 | 34 | def train(epoch): 35 | model.train() 36 | loss_value = 0 37 | for batch_idx, data in enumerate(train_loader): 38 | 39 | data = data.to(args.device) 40 | data = Variable(data) 41 | optimizer.zero_grad() 42 | recon_batch, mu, logvar = model(data) 43 | 44 | loss = loss_function(recon_batch, data) + regularization(mu, logvar) * args.beta 45 | loss.backward() 46 | loss_value += loss.item() 47 | optimizer.step() 48 | if args.log != 0 and batch_idx % args.log == 0: 49 | print('Train Epoch: {} [{}/{} ({:.0f}%)]\tLoss: {:.6f}'.format( 50 | epoch, batch_idx * len(data), len(train_loader.dataset), 51 | 100. * batch_idx / len(train_loader), 52 | loss.item() / len(data))) 53 | 54 | print('====> Epoch: {} Average loss: {:.4f}'.format( 55 | epoch, loss_value / len(train_loader.dataset))) 56 | return loss_value / len(train_loader.dataset) 57 | 58 | 59 | # Implementation of Variaitonal Autoencoder 60 | class VAE(nn.Module): 61 | # Define the initialization function，which defines the basic structure of the neural network 62 | def __init__(self, args): 63 | super(VAE, self).__init__() 64 | self.l = len(args.layer) 65 | self.L = args.L 66 | self.device = args.device 67 | self.inet = nn.ModuleList() 68 | darray = [args.d] + args.layer 69 | for i in range(self.l - 1): 70 | self.inet.append(nn.Linear(darray[i], darray[i + 1])) 71 | self.mu = nn.Linear(darray[self.l - 1], darray[self.l]) 72 | self.sigma = nn.Linear(darray[self.l - 1], darray[self.l]) 73 | self.gnet = nn.ModuleList() 74 | for i in range(self.l): 75 | self.gnet.append(nn.Linear(darray[self.l - i], darray[self.l - i - 1])) 76 | 77 | def encode(self, x): 78 | h = x 79 | for i in range(self.l - 1): 80 | h = functional.relu(self.inet[i](h)) 81 | # h = functional.relu(functional.dropout(self.inet[i](h), p=0.5, training=True)) 82 | return self.mu(h), self.sigma(h) 83 | 84 | def decode(self, z): 85 | h = z 86 | for i in range(self.l - 1): 87 | h = functional.relu(self.gnet[i](h)) 88 | # h = functional.relu(functional.dropout(self.gnet[i](h), p=0.5, training=True)) 89 | return functional.sigmoid(self.gnet[self.l - 1](h)) 90 | 91 | def reparameterize(self, mu, logvar): 92 | if self.training: 93 | std = torch.exp(0.5 * logvar) 94 | eps = torch.randn([self.L] + list(std.shape)).to(self.device) 95 | return eps.mul(std).add_(mu) 96 | else: 97 | return mu 98 | 99 | # Define the forward propagation function for the neural network. 100 | # Once defined, the backward propagation function will be autogeneration（autograd） 101 | def forward(self, x): 102 | mu, logvar = self.encode(x) 103 | z = self.reparameterize(mu, logvar) 104 | return self.decode(z), mu, logvar 105 | 106 | 107 | if __name__ == "__main__": 108 | 109 | parser = argparse.ArgumentParser(description='Variational Auto Encoder') 110 | parser.add_argument('--batch', type=int, default=100, help='input batch size for training (default: 100)') 111 | parser.add_argument('-m', '--maxiter', type=int, default=10, help='number of epochs to train (default: 10)') 112 | parser.add_argument('--gpu', action='store_true', default=False, help='enables CUDA training') 113 | parser.add_argument('--seed', type=int, default=1, help='random seed (default: 1)') 114 | parser.add_argument('--log', type=int, default=1, metavar='N', 115 | help='how many batches to wait before logging training status') 116 | parser.add_argument('--dir', help='dataset directory', default='/Users/deepDR/dataset') 117 | parser.add_argument('--layer', nargs='+', help='number of neurals in each layer', type=int, default=[20]) 118 | parser.add_argument('-L', type=int, default=1, help='number of samples') 119 | parser.add_argument('-N', help='number of recommended items', type=int, default=20) 120 | parser.add_argument('--learn_rate', help='learning rate', type=float, default=0.001) 121 | parser.add_argument('-a', '--alpha', help='parameter alpha', type=float, default=1) 122 | parser.add_argument('-b', '--beta', help='parameter beta', type=float, default=1) 123 | parser.add_argument('--rating', help='feed input as rating', action='store_true') 124 | parser.add_argument('--save', help='save model', action='store_true') 125 | parser.add_argument('--load', help='load model, 1 for fvae and 2 for cvae', type=int, default=0) 126 | 127 | args = parser.parse_args() 128 | torch.manual_seed(args.seed) 129 | # whether to ran with cuda 130 | args.device = torch.device("cuda" if args.gpu and torch.cuda.is_available() else "cpu") 131 | 132 | print('dataset directory: ' + args.dir) 133 | directory = args.dir 134 | 135 | path = '{}/drugDisease.txt'.format(directory) 136 | print('train data path: ' + path) 137 | R = np.loadtxt(path) 138 | Rtensor = R.transpose() 139 | if args.rating: # feed in with rating 140 | whole_positive_index = [] 141 | whole_negative_index = [] 142 | for i in range(np.shape(Rtensor)[0]): 143 | for j in range(np.shape(Rtensor)[1]): 144 | if int(Rtensor[i][j]) == 1: 145 | whole_positive_index.append([i, j]) 146 | elif int(Rtensor[i][j]) == 0: 147 | whole_negative_index.append([i, j]) 148 | negative_sample_index = np.random.choice(np.arange(len(whole_negative_index)), 149 | size=1 * len(whole_positive_index), replace=False) 150 | # whole_negative_index=np.array(whole_negative_index) 151 | data_set = np.zeros((len(negative_sample_index) + len(whole_positive_index), 3), dtype=int) 152 | count = 0 153 | for i in whole_positive_index: 154 | data_set[count][0] = i[0] 155 | data_set[count][1] = i[1] 156 | data_set[count][2] = 1 157 | count += 1 158 | for i in negative_sample_index: 159 | data_set[count][0] = whole_negative_index[i][0] 160 | data_set[count][1] = whole_negative_index[i][1] 161 | data_set[count][2] = 0 162 | count += 1 163 | test_auc_fold = [] 164 | test_aupr_fold = [] 165 | rs = np.random.randint(0, 1000, 1)[0] 166 | kf = StratifiedKFold(data_set[:, 2], n_folds=5, shuffle=True, random_state=rs) 167 | 168 | for train_index, test_index in kf: 169 | DTItrain, DTItest = data_set[train_index], data_set[test_index] 170 | Xtrain = np.zeros((np.shape(Rtensor)[0], np.shape(Rtensor)[1])) 171 | for ele in DTItrain: 172 | Xtrain[ele[0], ele[1]] = ele[2] 173 | Rtensor = torch.from_numpy(Xtrain.astype('float32')).to(args.device) 174 | args.d = Rtensor.shape[1] 175 | train_loader = DataLoader(Rtensor, args.batch, shuffle=True) 176 | loss_function = BCE_loss 177 | 178 | model = VAE(args).to(args.device) 179 | print(model) 180 | if args.load > 0: 181 | name = 'cvae' if args.load == 2 else 'fvae' 182 | path = 'test_models/' + name 183 | for l in args.layer: 184 | path += '_' + str(l) 185 | print('load model from path: ' + path) 186 | model.load_state_dict(torch.load(path)) 187 | 188 | optimizer = optim.Adam(model.parameters(), lr=args.learn_rate) 189 | 190 | loss_list = [] 191 | for epoch in range(1, args.maxiter + 1): 192 | loss = train(epoch) 193 | loss_list.append(loss) 194 | 195 | model.eval() 196 | score, _, _ = model(Rtensor) 197 | print(score.detach().numpy().shape) 198 | Zscore = score.detach().numpy() 199 | 200 | pred_list = [] 201 | ground_truth = [] 202 | for ele in DTItrain: 203 | pred_list.append(Zscore[ele[0], ele[1]]) 204 | ground_truth.append(ele[2]) 205 | train_auc = roc_auc_score(ground_truth, pred_list) 206 | train_aupr = average_precision_score(ground_truth, pred_list) 207 | print('train auc aupr,', train_auc, train_aupr) 208 | pred_list = [] 209 | ground_truth = [] 210 | for ele in DTItest: 211 | pred_list.append(Zscore[ele[0], ele[1]]) 212 | ground_truth.append(ele[2]) 213 | test_auc = roc_auc_score(ground_truth, pred_list) 214 | test_aupr = average_precision_score(ground_truth, pred_list) 215 | print('test auc aupr', test_auc, test_aupr) 216 | test_auc_fold.append(test_auc) 217 | test_aupr_fold.append(test_aupr) 218 | # model.train() 219 | avg_auc = np.mean(test_auc_fold) 220 | avg_pr = np.mean(test_aupr_fold) 221 | print('mean auc aupr', avg_auc, avg_pr) 222 | 223 | else: # feed in with side information 224 | path = 'drugmdaFeatures.txt' 225 | print('feature data path: ' + path) 226 | fea = np.loadtxt(path) 227 | X = fea.transpose() 228 | X[X > 0] = 1 229 | args.d = X.shape[1] 230 | # X = normalize(X, axis=1) 231 | X = torch.from_numpy(X.astype('float32')).to(args.device) 232 | train_loader = DataLoader(X, args.batch, shuffle=True) 233 | loss_function = Guassian_loss 234 | 235 | model = VAE(args).to(args.device) 236 | if args.load > 0: 237 | name = 'cvae' if args.load == 2 else 'fvae' 238 | path = 'test_models/' + name 239 | for l in args.layer: 240 | path += '_' + str(l) 241 | print('load model from path: ' + path) 242 | model.load_state_dict(torch.load(path)) 243 | 244 | optimizer = optim.Adam(model.parameters(), lr=args.learn_rate) 245 | 246 | for epoch in range(1, args.maxiter + 1): 247 | train(epoch) 248 | 249 | if args.save: 250 | name = 'cvae' if args.rating else 'fvae' 251 | path = 'test_models/' + name 252 | for l in args.layer: 253 | path += '_' + str(l) 254 | model.cpu() 255 | torch.save(model.state_dict(), path) 256 | -------------------------------------------------------------------------------- /dataset/disease_dict: -------------------------------------------------------------------------------- 1 | C0035793:Rocky Mountain Spotted Fever 2 | C0232849:Bladder pain 3 | C0919659:Oropharyngeal candidiasis 4 | C0013428:Dysuria 5 | C1719906:Meningitis due to Klebsiella mobilis 6 | C0855095:Small Lymphocytic Lymphoma 7 | C0877131:Urinary tract infection fungal 8 | C0153579:Malignant neoplasm of fallopian tube 9 | C0004096:Asthma 10 | C0153594:Malignant neoplasm of testis 11 | C0376358:Malignant neoplasm of prostate 12 | C0343467:Erythema nodosum leprosum 13 | C0016412:Folic Acid Deficiency 14 | C0013238:Dry Eye Syndromes 15 | C1276801:Infection due to Erysipelothrix rhusiopathiae (disorder) 16 | C0002171:Alopecia Areata 17 | C0342985:Superficial bacterial infection of skin 18 | C0020651:Hypotension, Orthostatic 19 | C0008325:Cholecystitis 20 | C0021400:Influenza 21 | C0238463:Papillary thyroid carcinoma 22 | C0040553:Toxocariasis 23 | C0020443:Hypercholesterolemia 24 | C0024530:Malaria 25 | C0041318:Tuberculosis, Meningeal 26 | C0153246:Tinea manus 27 | C0008582:Chromoblastomycosis 28 | C0030758:Body louse infestation 29 | C0041909:Upper gastrointestinal hemorrhage 30 | C0343402:Bacterial infection due to Klebsiella pneumoniae 31 | C0342731:Deficiency of mevalonate kinase 32 | C0349543:Glioblastoma multiforme of brain 33 | C0237963:Poisoning by acetaminophen 34 | C0744896:Intractable hiccups 35 | C0006444:Bursitis 36 | C0270846:Epileptic drop attack 37 | C0034067:Pulmonary Emphysema 38 | C0007117:Basal cell carcinoma 39 | C0276535:AIDS with Kaposi's sarcoma 40 | C0014877:Esotropia 41 | C0026987:Myelofibrosis 42 | C0085612:Ventricular arrhythmia 43 | C0007134:Renal Cell Carcinoma 44 | C3854116:Lipodystrophy due to Human immunodeficiency virus infection and antiretroviral therapy 45 | C0040127:Thyroid Crisis 46 | C0019151:Hepatic Encephalopathy 47 | C0002986:Fabry Disease 48 | C0037274:Dermatologic disorders 49 | C0275982:Enteric campylobacteriosis 50 | C0392618:Postoperative infection 51 | C0014347:Enterobacteriaceae Infections 52 | C0007131:Non-Small Cell Lung Carcinoma 53 | C0423775:Scurfiness of scalp 54 | C0546999:Larva Migrans, Cutaneous 55 | C0281361:Adenocarcinoma of pancreas 56 | C0242855:Congenital atresia of pulmonary valve 57 | C1561828:Anemia in chronic kidney disease 58 | C0749958:URINARY TRACT INFECTION ENTEROCOCCUS 59 | C0023052:Laryngeal Edema 60 | C0019829:Hodgkin Disease 61 | C0243001:Abdominal Abscess 62 | C1827687:Chemotherapy-induced neutropenia 63 | C0235238:Cycloplegia 64 | C0039841:Thiamine Deficiency 65 | C0038160:Staphylococcal Infections 66 | C1636205:Rhinocerebral phycomycosis 67 | C0149948:Acute otitis externa 68 | C0028326:Noonan Syndrome 69 | C0410065:Dupuytren's disease of finger, with contracture 70 | C0043515:Zollinger-Ellison syndrome 71 | C0347950:Asthma attack 72 | C0032302:Mycoplasma pneumonia 73 | C0002792:anaphylaxis 74 | C0020626:Hypoparathyroidism 75 | C0023479:Acute myelomonocytic leukemia 76 | C0152030:Skin irritation 77 | C2936781:Generalized Myotonia of Thomsen 78 | C1998329:Anemia due to chemotherapy 79 | C0014733:Erysipelas 80 | C2677857:Facial hyperpigmentation 81 | C0162627:Skin Diseases, Bacterial 82 | C0346974:Secondary malignant neoplasm of colon 83 | C0040460:Toothache 84 | C0025202:melanoma 85 | C0021141:Inappropriate ADH Syndrome 86 | C0153216:Gonococcal joint infection 87 | C0023449:Acute lymphocytic leukemia 88 | C0917798:Cerebral Ischemia 89 | C0272293:Chronic idiopathic thrombocytopenic purpura 90 | C4038730:Asthma-chronic obstructive pulmonary disease overlap syndrome 91 | C0023646:Lichen Planus 92 | C0917796:Optic Atrophy, Hereditary, Leber 93 | C0276088:Escherichia coli septicemia 94 | C0158996:Anemia of prematurity 95 | C0024286:Lymphogranuloma Venereum 96 | C1336708:Testicular Germ Cell Tumor 97 | C0577709:Proteus urinary tract infection 98 | C0578870:Chronic idiopathic urticaria 99 | C0023290:Leishmaniasis, Visceral 100 | C0157726:Corns and callus 101 | C0006181:Brill-Zinsser Disease 102 | C0013369:Dysentery 103 | C0085166:Bacterial Vaginosis 104 | C0150045:Urge Incontinence 105 | C0751122:Infantile Severe Myoclonic Epilepsy 106 | C0948840:Meningeal Leukemia 107 | C0019112:Hemorrhoids 108 | C0235339:Mouth irritation 109 | C1262117:Fungal keratitis 110 | C1384606:Dyspareunia 111 | C0349719:Herpes simplex infection of skin 112 | C0042974:von Willebrand Disease 113 | C0554628:Streptococcus pyogenes infection 114 | C0030783:Pellagra 115 | C2242472:Infection of bone 116 | C0015230:Exanthema 117 | C0338873:Bipolar affective disorder, current episode manic 118 | C0024535:Malaria, Falciparum 119 | C0011884:Diabetic Retinopathy 120 | C2960008:Fungal septicemia 121 | C0339293:Corneal Perforation 122 | C0032308:Staphylococcal Pneumonia 123 | C0033893:Tension Headache 124 | C0857831:Moraxella catarrhalis pneumonia 125 | C0345468:Transplanted organ rejection 126 | C0027819:Neuroblastoma 127 | C0184567:Acute onset pain 128 | C3536984:Vitamin D-Resistant Rickets, X-Linked 129 | C0276226:Herpes encephalitis 130 | C0745528:Klebsiella sepsis 131 | C1960397:Philadelphia chromosome-positive acute lymphoblastic leukemia 132 | C0036285:Scarlet Fever 133 | C0152516:Bacterial enteritis 134 | C0677607:Hashimoto Disease 135 | C0036262:Scabies 136 | C0156677:Eclampsia in pregnancy 137 | C0003850:Arteriosclerosis 138 | C0022104:Irritable Bowel Syndrome 139 | C0026709:Mucopolysaccharidosis VI 140 | C0001261:Actinomycosis 141 | C0348898:Irritable bowel syndrome with diarrhea 142 | C0020461:Hyperkalemia 143 | C0005716:Blastomycosis 144 | C0272373:Drug-induced coagulation inhibitor disorder 145 | C0151721:Testicular hypogonadism 146 | C0030636:Pasteurella Infections 147 | C0393772:Non-24 hour sleep-wake cycle 148 | C0267176:Gastroparesis due to diabetes mellitus 149 | C0008311:Cholangitis 150 | C0011581:Depressive disorder 151 | C0221392:Atrophic Vaginitis 152 | C0236780:Mixed bipolar I disorder 153 | C1961099:Precursor T-Cell Lymphoblastic Leukemia-Lymphoma 154 | C0153252:Systemic candidiasis 155 | C0005587:Depression, Bipolar 156 | C0030920:Peptic Ulcer 157 | C1278797:Postnatal infection 158 | C0275761:Pneumococcal pharyngitis 159 | C0276026:Haemophilus influenzae pneumonia 160 | C1444173:Arthropod bite wound 161 | C0016436:Folliculitis 162 | C0038358:Gastric ulcer 163 | C0233485:apprehension 164 | C0343532:Streptococcal toxic shock syndrome 165 | C0034069:Pulmonary Fibrosis 166 | C0220987:Hereditary orotic aciduria 167 | C0282488:Interstitial Cystitis 168 | C0027145:Myxedema 169 | C0002888:Anemia, Megaloblastic 170 | C0155866:Inhalational anthrax 171 | C0023473:Myeloid Leukemia, Chronic 172 | C0339170:Fungal conjunctivitis 173 | C0032064:Plague 174 | C0577690:Proteus septicemia 175 | C0035854:Rosacea 176 | C0519030:Pneumonia due to Klebsiella pneumoniae 177 | C0242172:Pelvic Inflammatory Disease 178 | C0338437:Neurocysticercosis 179 | C0023381:Letterer-Siwe Disease 180 | C0028734:Nocturia 181 | C0854248:Pneumonia due to Gram negative bacteria 182 | C0339507:Branch retinal vein occlusion with macular edema 183 | C0023283:Leishmaniasis, Cutaneous 184 | C0035235:Respiratory Syncytial Virus Infections 185 | C0033775:Pruritus Ani 186 | C0001263:Abdominal actinomycosis 187 | C0018099:Gout 188 | C0006309:Brucellosis 189 | C2887096:Sepsis due to Pseudomonas 190 | C0018213:Graves Disease 191 | C0019345:Herpes Labialis 192 | C0155919:Acute pulmonary edema 193 | C0034686:Rat-Bite Fever 194 | C2028293:Haemophilus influenzae type b infection 195 | C0017418:Primary genital syphilis 196 | C0334634:Malignant lymphoma, lymphocytic, intermediate differentiation, diffuse 197 | C0155862:Streptococcal pneumonia 198 | C0020428:Hyperaldosteronism 199 | C0018916:Hemangioma 200 | C0025289:Meningitis 201 | C0035579:Rickets 202 | C0017536:Giardiasis 203 | C0014544:Epilepsy 204 | C0151686:Growth retardation 205 | C0025323:Menorrhagia 206 | C0242429:Sore Throat 207 | C0023786:Mucopolysaccharidosis I 208 | C0031154:Peritonitis 209 | C1761609:Aspiration pneumonitis 210 | C0002963:Angina Pectoris, Variant 211 | C0948896:Primary hypogonadism 212 | C0034012:Delayed Puberty 213 | C1849508:EPILEPSY, PYRIDOXINE-DEPENDENT 214 | C0581377:Decompensated cardiac failure 215 | C2887088:Sepsis due to Staphylococcus aureus 216 | C0033038:Premature Ejaculation 217 | C0014179:Endometritis 218 | C0038525:Subarachnoid Hemorrhage 219 | C0013371:Shigella Infections 220 | C1318559:Fusospirochetal pharyngitis 221 | C0154246:Urea Cycle Disorders, Inborn 222 | C0276754:Onychomycosis due to Trichophyton rubrum 223 | C0001957:Alcohol Withdrawal Delirium 224 | C0030759:Infestation by Phthirus pubis 225 | C1274469:Onychomycosis of fingernails 226 | C0221032:Familial generalized lipodystrophy 227 | C0234978:Motor cortex epilepsy 228 | C0278498:Malignant neoplasm of stomach stage IV 229 | C0005586:Bipolar Disorder 230 | C1303258:Acute ST segment elevation myocardial infarction (disorder) 231 | C1319317:Squamous cell carcinoma of pharynx 232 | C1562029:Hormone receptor positive malignant neoplasm of breast 233 | C0035439:Rheumatic Heart Disease 234 | C0701163:Adrenogenital disorder 235 | C0021390:Inflammatory Bowel Diseases 236 | C3203356:Factor II deficiency 237 | C0020683:Hypovolemic Shock 238 | C0006277:Bronchitis 239 | C0014742:Erythema Multiforme 240 | C0003177:Cutaneous anthrax 241 | C0041912:Upper Respiratory Infections 242 | C1282500:Metastasis from malignant tumor of colon 243 | C1134719:Invasive Ductal Breast Carcinoma 244 | C0338908:Mixed anxiety and depressive disorder 245 | C0041228:African Trypanosomiasis 246 | C0020542:Pulmonary Hypertension 247 | C2062475:pharyngitis due to Haemophilus influenzae 248 | C0033774:Pruritus 249 | C0020473:Hyperlipidemia 250 | C0020459:Hyperinsulinism 251 | C0017205:Gaucher Disease 252 | C0037036:Sialorrhea 253 | C0038463:Strongyloidiasis 254 | C2711256:Ischemic priapism 255 | C0040262:Tinea Versicolor 256 | C0019693:HIV Infections 257 | C0040038:Thromboembolism 258 | C0748196:PYELONEPHRITIS E COLI 259 | C0349774:Diverticulitis of gastrointestinal tract 260 | C0040425:Tonsillitis 261 | C0278996:Cancer of Head and Neck 262 | C0037769:West Syndrome 263 | C0035435:Rheumatism 264 | C0392445:Necrobiosis Lipoidica Diabeticorum 265 | C0017168:Gastroesophageal reflux disease 266 | C0022602:Actinic keratosis 267 | C0152946:Anthrax sepsis 268 | C0030568:Parkinson Disease, Postencephalitic 269 | C0085681:Hyperphosphatemia (disorder) 270 | C0003862:Arthralgia 271 | C0009088:Cluster Headache 272 | C0275556:Acute bacterial sinusitis 273 | C0042109:Urticaria 274 | C0040247:Tinea 275 | C0275652:Acute gonococcal urethritis 276 | C0042345:Varicosity 277 | C0149966:Gonorrhea of pharynx 278 | C0264115:Drug-induced osteoporosis 279 | C0007102:Malignant tumor of colon 280 | C0040053:Thrombosis 281 | C0149704:Gingivostomatitis 282 | C0242459:Simple Pulmonary Eosinophilia 283 | C0261486:Accidental poisoning by lead and its compounds and fumes 284 | C0006840:Candidiasis 285 | C0012561:Diphyllobothriasis 286 | C0271152:Malignant glaucoma 287 | C0020538:Hypertensive disease 288 | C0012734:Disruptive Behavior Disorder 289 | C0001627:Congenital adrenal hyperplasia 290 | C0030201:Pain, Postoperative 291 | C0206178:Cytomegalovirus Retinitis 292 | C0149931:Migraine Disorders 293 | C0006848:Mucocutaneous candidiasis 294 | C0027662:Multiple Endocrine Neoplasia 295 | C0041648:Infection by Uncinaria 296 | C0004352:Autistic Disorder 297 | C0013264:Muscular Dystrophy, Duchenne 298 | C0406526:Neuropathic diabetic ulcer - foot 299 | C0264515:Pneumonia, Necrotizing 300 | C0086227:Enterobiasis 301 | C0340970:Congenital neutropenia 302 | C0917801:Sleeplessness 303 | C0275566:Pulmonary actinomycosis 304 | C1274470:Onychomycosis of toenails 305 | C0149893:Secondary glaucoma 306 | C0040015:Thrombasthenia 307 | C0524688:Pneumonic Plague 308 | C0279543:Philadelphia chromosome positive chronic myelogenous leukemia 309 | C0549398:Meibomianitis 310 | C0751362:Narcolepsy-Cataplexy Syndrome 311 | C0948008:Ischemic stroke 312 | C0346161:Malignant epithelial tumor of ovary 313 | C0403643:Bladder muscle dysfunction - overactive 314 | C0149725:Lower respiratory tract infection 315 | C0221023:Cyclic neutropenia 316 | C0024305:Lymphoma, Non-Hodgkin 317 | C0085394:Serratia Infections 318 | C0520775:Klebsiella cystitis 319 | C1290159:Subacute bursitis 320 | C0011881:Diabetic Nephropathy 321 | C0023343:Leprosy 322 | C1320547:Allergic otitis externa 323 | C0024449:Mycetoma 324 | C0028242:Nocardia Infections 325 | C0276587:Nutritional deficiency associated with AIDS 326 | C0342751:Generalized glycogen storage disease of infants 327 | C0020502:Hyperparathyroidism 328 | C0028754:Obesity 329 | C0022570:Keratitis, Dendritic 330 | C0524909:Hepatitis B, Chronic 331 | C0001264:Cervicofacial actinomycosis 332 | C0206141:Idiopathic Hypereosinophilic Syndrome 333 | C0153467:Malignant tumor of peritoneum 334 | C0162565:Acute intermittent porphyria 335 | C0031511:Pheochromocytoma 336 | C0014550:Epilepsies, Myoclonic 337 | C1384589:Tinea cruris 338 | C0030757:Pediculus capitis infestation 339 | C0268490:Tyrosinemia, Type I 340 | C0004031:Aspergillosis, Allergic Bronchopulmonary 341 | C0153685:Secondary malignant neoplasm of kidney 342 | C0729524:Bacterial urinary infection 343 | C0024790:Paroxysmal nocturnal hemoglobinuria 344 | C0423234:Punctate keratopathy 345 | C1562543:Ocular histoplasmosis syndrome 346 | C0270549:Generalized Anxiety Disorder 347 | C0524702:Pulmonary Thromboembolisms 348 | C0036220:Kaposi Sarcoma 349 | C1868889:Irritable bowel syndrome characterized by constipation 350 | C0023269:leiomyosarcoma 351 | C0019243:Angioedemas, Hereditary 352 | C0003175:Anthrax disease 353 | C0035412:Rhabdomyosarcoma 354 | C0016034:Breast Fibrocystic Disease 355 | C0235267:Redness of eye 356 | C0014358:Enterocolitis, Pseudomembranous 357 | C0042373:Vascular Diseases 358 | C0080274:Urinary Retention 359 | C0020649:Hypotension 360 | C0022573:Keratoconjunctivitis 361 | C1739382:Chronic iron overload 362 | C0406486:Ocular Rosacea 363 | C0019147:Hepatic Coma 364 | C0035258:Restless Legs Syndrome 365 | C2711653:Epilepsy characterized by intractable complex partial seizures 366 | C0020635:Hypopituitarism 367 | C0008312:Primary biliary cirrhosis 368 | C0029408:Degenerative polyarthritis 369 | C0011854:Diabetes Mellitus, Insulin-Dependent 370 | C0152072:Ovale malaria 371 | C0039614:Tetanus 372 | C0035468:Rhinoscleroma 373 | C0267963:Exocrine pancreatic insufficiency 374 | C0032533:Polymyalgia Rheumatica 375 | C0006057:Botulism 376 | C0036992:Short Bowel Syndrome 377 | C1274988:Drug-induced mucositis 378 | C0849907:Itching of ear 379 | C2363973:Chronic thromboembolic pulmonary hypertension 380 | C0854324:Haemophilus sepsis 381 | C0342882:Familial hypercholesterolemia - heterozygous 382 | C0017612:Glaucoma, Open-Angle 383 | C1704431:Disorder of electrolytes 384 | C1960925:Epidermal growth factor receptor positive non-small cell lung cancer 385 | C0153227:Gonococcal endocarditis 386 | C0155814:Acute epiglottitis 387 | C1292758:Precursor T-cell lymphoblastic lymphoma 388 | C0035597:Rickettsialpox 389 | C0026961:Mydriasis 390 | C0085652:Pyoderma Gangrenosum 391 | C0001206:Acromegaly 392 | C0031099:Periodontitis 393 | C0236663:Alcohol withdrawal syndrome 394 | C0476089:Endometrial Carcinoma 395 | C0276758:Fusariosis 396 | C0040259:Tinea Pedis 397 | C0008677:Bronchitis, Chronic 398 | C0019080:Hemorrhage 399 | C0877445:Candidemia 400 | C0573789:Heparin overdose 401 | C0392784:Dermatofibrosarcoma Protuberans 402 | C0678222:Breast Carcinoma 403 | C0267511:Drug-induced constipation 404 | C0023472:Leukemia, Myeloid, Accelerated Phase 405 | C0270458:Severe major depression with psychotic features 406 | C0870082:Hyperkeratosis 407 | C1623040:Breastfeeding (mother) 408 | C0178299:Infection of skin AND/OR subcutaneous tissue 409 | C0009773:Conjunctivitis, Vernal 410 | C0020474:Hyperlipidemia, Familial Combined 411 | C0235480:Paroxysmal atrial fibrillation 412 | C0406317:Chronic small plaque psoriasis 413 | C0014488:Epicondylitis 414 | C0014356:Enterocolitis 415 | C0149871:Deep Vein Thrombosis 416 | C0018021:Goiter 417 | C0026948:Mycosis Fungoides 418 | C0014175:Endometriosis 419 | C0042998:Vulvovaginitis 420 | C0029442:Osteomalacia 421 | C0270425:Bipolar disorder in remission 422 | C0039685:Tetralogy of Fallot 423 | C0024623:Malignant neoplasm of stomach 424 | C0001126:Renal tubular acidosis 425 | C0178416:Hypoplastic anemia 426 | C0031069:Familial Mediterranean Fever 427 | C0241310:Suprapubic pain 428 | C0003469:Anxiety Disorders 429 | C0398775:Hereditary C1 esterase inhibitor deficiency - deficient factor 430 | C0339933:Acute bacterial bronchitis 431 | C0002880:Autoimmune hemolytic anemia 432 | C3163939:Malignant epithelial neoplasm of thyroid 433 | C0035335:Retinoblastoma 434 | C0006413:Burkitt Lymphoma 435 | C0022568:Keratitis 436 | C0854328:Infection due to anaerobic bacteria 437 | C0400877:Postoperative ileus 438 | C0007138:Carcinoma, Transitional Cell 439 | C0154301:Acquired thrombocytopenia 440 | C0023281:Leishmaniasis 441 | C0022575:Keratoconjunctivitis Sicca 442 | C2733595:Pulmonary Mycobacterium avium complex infection 443 | C1328252:Mucocutaneous leishmaniasis 444 | C0032797:Postpartum Hemorrhage 445 | C0033975:Psychotic Disorders 446 | C0282193:Iron Overload 447 | C0006266:Bronchial Spasm 448 | C0341834:Chlamydial cervicitis 449 | C0349734:Female pelvic cellulitis 450 | C0155626:Acute myocardial infarction 451 | C1274321:Recurrent herpes simplex labialis 452 | C0275550:Acute bacterial peritonitis 453 | C0036508:Seborrheic dermatitis 454 | C0152945:Gastrointestinal anthrax 455 | C0039520:Tenosynovitis 456 | C0022081:Iritis 457 | C0748267:RENAL CALCULUS CALCIUM OXALATE 458 | C0936215:Vitamin B 6 Deficiency 459 | C0016053:Fibromyalgia 460 | C0238217:Renal transplant rejection 461 | C0013604:Edema 462 | C0392164:Pulmonary Cystic Fibrosis 463 | C0349790:Exacerbation of asthma 464 | C0745136:Hypertensive emergency 465 | C0019202:Hepatolenticular Degeneration 466 | C0262633:Shoulder tendinitis 467 | C0473527:Hypoalphalipoproteinemias 468 | C0029443:Osteomyelitis 469 | C0006105:Brain Abscess 470 | C0030409:Paracoccidioidomycosis 471 | C1263758:Female genital tract infection 472 | C0271429:Acute otitis media 473 | C1527336:Sjogren's Syndrome 474 | C0027927:Neurosyphilis 475 | C0023827:liposarcoma 476 | C0153188:Syphilis, tertiary 477 | C1306632:Primary malignant neoplasm of gastrointestinal tract 478 | C0152936:Plague, Septicemic 479 | C0235950:Zinc deficiency 480 | C0267390:Chronic ulcerative rectosigmoiditis 481 | C0040997:Trigeminal Neuralgia 482 | C0030785:Pelvic abscess 483 | C0037199:Sinusitis 484 | C2894027:Post traumatic osteoarthritis 485 | C0042510:Ventricular Fibrillation 486 | C1621958:Glioblastoma Multiforme 487 | C0237996:anticholinergic toxicity 488 | C0542269:Non-Q wave myocardial infarction 489 | C0339498:Central retinal vein occlusion with macular edema 490 | C2937225:Biotin deficiency disease 491 | C0040147:Thyroiditis 492 | C0036337:Schizoaffective Disorder 493 | C0039128:Syphilis 494 | C0020615:Hypoglycemia 495 | C0010200:Coughing 496 | C0242350:Erectile dysfunction 497 | C3697010:Ulcerative colitis in remission 498 | C0276089:Pneumonia due to Escherichia coli 499 | C1720498:Toxoplasmosis associated with AIDS 500 | C0018621:Hay fever 501 | C0412842:Poisoning by iron AND/OR its compounds 502 | C0036651:Senile lentigo 503 | C0751753:Carbamoyl-Phosphate Synthase I Deficiency Disease 504 | C0346421:Chronic eosinophilic leukemia 505 | C0034063:Pulmonary Edema 506 | C0013338:Pituitary dwarfism 507 | C0038166:Staphylococcal Skin Infections 508 | C0024198:Lyme Disease 509 | C0018190:Granuloma Inguinale 510 | C1272826:FIGO stage finding for vulvar carcinoma 511 | C1112709:non-gonococcal urethritis (NGU) 512 | C0008049:Chickenpox 513 | C0005743:Blepharoconjunctivitis 514 | C0036130:Salpingitis 515 | C1261473:Sarcoma 516 | C0004604:Back Pain 517 | C1096258:Enterobacter pneumonia 518 | C0034186:Pyelonephritis 519 | C0243002:Tricuspid Atresia 520 | C0206682:Follicular thyroid carcinoma 521 | C0232058:Apnea in the newborn 522 | C0274478:Poisoning by pyrimethamine 523 | C1961112:Heart Decompensation 524 | C0017563:Gingival Diseases 525 | C0042963:Vomiting 526 | C0037383:Sneezing 527 | C0276075:Infection due to Pseudomonas aeruginosa 528 | C0150055:Chronic pain 529 | C0162836:Hidradenitis Suppurativa 530 | C0271084:Exudative age-related macular degeneration 531 | C0152499:Acute amebiasis 532 | C0238425:Hemoglobin SS disease with crisis 533 | C0149782:Squamous cell carcinoma of lung 534 | C0261439:Accidental poisoning by methyl alcohol 535 | C0002962:Angina Pectoris 536 | C0151714:Hypermagnesemia 537 | C0149526:Allergic urticaria 538 | C0012739:Disseminated Intravascular Coagulation 539 | C0345904:Malignant neoplasm of liver 540 | C0024537:Malaria, Vivax 541 | C0339968:Neonatal pneumonia 542 | C0272325:Factor 8 deficiency, acquired 543 | C0009806:Constipation 544 | C0020437:Hypercalcemia 545 | C1959799:Calcium renal calculus 546 | C0001973:Alcoholic Intoxication, Chronic 547 | C0022729:Klebsiella Infections 548 | C0020598:Hypocalcemia 549 | C0749955:URINARY TRACT INFECTION CITROBACTER 550 | C0041341:Tuberous Sclerosis 551 | C0004364:Autoimmune Diseases 552 | C2239176:Liver carcinoma 553 | C0030528:Paratyphoid Fever 554 | C0154731:Glossopharyngeal Neuralgia 555 | C0153290:Echinococcus granulosus infection of lung 556 | C0751967:Multiple Sclerosis, Relapsing-Remitting 557 | C0013390:Dysmenorrhea 558 | C0011616:Contact Dermatitis 559 | C0005699:Blast Phase 560 | C0036472:Scrub Typhus 561 | C0269658:Mild pre-eclampsia 562 | C0026769:Multiple Sclerosis 563 | C0494475:Tonic - clonic seizures 564 | C0009186:Coccidioidomycosis 565 | C0341950:Severe pre-eclampsia 566 | C0042133:Uterine Fibroids 567 | C0004626:Pneumonia, Bacterial 568 | C0023467:Leukemia, Myelocytic, Acute 569 | C0221765:Chronic schizophrenia 570 | C0271693:Acquired generalized lipodystrophy 571 | C1283620:Sucrase-isomaltase deficiency, congenital 572 | C0857846:Legionella pneumophila pneumonia 573 | C0019360:Herpes zoster disease 574 | C0039133:Syphilis, Latent 575 | C0026838:Muscle Spasticity 576 | C0042875:Vitamin E Deficiency 577 | C0553580:Ewings sarcoma 578 | C0021092:Impacted cerumen 579 | C0220989:Acquired partial lipodystrophy 580 | C0043144:Wheezing 581 | C0013595:Eczema 582 | C0002438:Amebiasis 583 | C0002440:Chronic intestinal amebiasis 584 | C0008350:Cholelithiasis 585 | C0745138:Hypertensive urgency 586 | C0029077:Ophthalmia, Sympathetic 587 | C0042023:Increased frequency of micturition 588 | C0038218:Status Asthmaticus 589 | C2931187:Nephropathic cystinosis 590 | C0520676:Premenstrual Dysphoric Disorder 591 | C0409959:Osteoarthritis, Knee 592 | C0008149:Chlamydia Infections 593 | C0007115:Malignant neoplasm of thyroid 594 | C0041327:Tuberculosis, Pulmonary 595 | C0085610:Sinus bradycardia 596 | C0264716:Chronic heart failure 597 | C0238111:Lennox-Gastaut syndrome 598 | C1275126:TNF receptor-associated periodic fever syndrome (TRAPS) 599 | C2316460:Pseudobulbar affect 600 | C0175683:Citrullinemia 601 | C0040028:Thrombocythemia, Essential 602 | C2711180:Influenza due to Influenza A virus 603 | C0017601:Glaucoma 604 | C0002351:Altitude Sickness 605 | C1384600:Systemic onset juvenile chronic arthritis 606 | C0269050:Endomyometritis 607 | C1140680:Malignant neoplasm of ovary 608 | C0577708:Escherichia coli urinary tract infection 609 | C0151467:Addisonian crisis 610 | C0877633:Haemophilus parainfluenzae pneumonia 611 | C0016867:Furunculosis 612 | C0041466:Typhoid Fever 613 | C0043037:Common wart 614 | C0007780:Cerebral Embolism 615 | C0003872:Arthritis, Psoriatic 616 | C1562430:Muscle spasticity of spinal origin 617 | C1960924:Right-sided Staphylococcus aureus endocarditis 618 | C0349009:Septicemia candida 619 | C0155860:Pneumonia due to Pseudomonas 620 | C0158371:Acute osteomyelitis 621 | C0276725:Disseminated sporotrichosis 622 | C0231528:Myalgia 623 | C0009324:Ulcerative Colitis 624 | C0042164:Uveitis 625 | C0936223:Metastatic Prostate Carcinoma 626 | C0002390:Extrinsic allergic alveolitis 627 | C1704231:Metastatic Malignant Neoplasm to the Leptomeninges 628 | C0011633:Dermatomyositis 629 | C0005684:Malignant neoplasm of urinary bladder 630 | C0221468:Vitamin D-dependent rickets 631 | C1263846:Attention deficit hyperactivity disorder 632 | C0038220:Status Epilepticus 633 | C0039103:Synovitis 634 | C0153289:Echinococcus granulosus infection of liver 635 | C0020630:Hypophosphatasia 636 | C0234925:Greasy skin 637 | C0024586:Malignant Carcinoid Syndrome 638 | C1135868:Gestational Trophoblastic Neoplasms 639 | C0152068:Echinococcus granulosus infection 640 | C0497327:Dementia 641 | C0475811:Disorder of keratinization 642 | C0004945:Bejel 643 | C0271093:Stargardt's disease 644 | C0034065:Pulmonary Embolism 645 | C0027796:Neuralgia 646 | C0024536:Quartan malaria 647 | C0038436:Post-Traumatic Stress Disorder 648 | C0555198:Malignant Glioma 649 | C0152965:Staphylococcal bacteraemia 650 | C0276085:Ecthyma gangrenosum 651 | C0085437:Meningitis, Bacterial 652 | C0153196:Acute gonococcal endometritis 653 | C0022548:Keloid 654 | C0220994:Hyperammonemia 655 | C0156543:Unspecified Abortion 656 | C1398376:mixed; epileptic 657 | C0235063:Respiratory Depression 658 | C0025218:Chloasma 659 | C0334579:Anaplastic astrocytoma 660 | C0014013:Empyema, Pleural 661 | C0275804:Streptococcal tonsillitis 662 | C0272275:Heparin-induced thrombocytopenia with thrombosis 663 | C0010308:Congenital Hypothyroidism 664 | C0034734:Raynaud Disease 665 | C0021361:Female infertility 666 | C0014547:Epilepsies, Partial 667 | C0018834:Heartburn 668 | C0018022:Endemic goiter 669 | C0600177:Low Cardiac Output Syndrome 670 | C3495559:Juvenile arthritis 671 | C0085074:Granuloma Annulare 672 | C2584877:Hereditary factor XIII A subunit deficiency 673 | C0032897:Prader-Willi Syndrome 674 | C0267436:Non-infective diarrhea 675 | C0239295:Candidiasis of the esophagus 676 | C0036341:Schizophrenia 677 | C0011606:Exfoliative dermatitis 678 | C2973725:Pulmonary arterial hypertension 679 | C0010418:Cryptosporidiosis 680 | C0600041:Infective cystitis 681 | C0085096:Peripheral Vascular Diseases 682 | C0020557:Hypertriglyceridemia 683 | C0271568:Laron Syndrome 684 | C0000810:Incomplete spontaneous abortion 685 | C0085438:Meningitis, Fungal 686 | C0271623:Hypogonadotropic hypogonadism 687 | C0154640:Staphylococcal meningitis 688 | C0085656:Nummular eczema 689 | C0025281:Meniere Disease 690 | C0276755:Onychomycosis due to Trichophyton mentagrophytes 691 | C0026603:Motion Sickness 692 | C0275665:Gonorrhea of rectum 693 | C1112209:Intraabdominal Infections 694 | C0040921:Trichomonas Infections 695 | C0024591:Malignant hyperpyrexia due to anesthesia 696 | C3544321:Treatment-resistant schizophrenia 697 | C0022951:Lactose Intolerance 698 | C0021670:insulinoma 699 | C0022735:Klinefelter Syndrome 700 | C0393760:Initial insomnia 701 | C0042842:Vitamin A Deficiency 702 | C0349636:Pre B-cell acute lymphoblastic leukemia 703 | C0015967:Fever 704 | C0395818:Malignant otitis externa due to Pseudomonas aeruginosa 705 | C0040034:Thrombocytopenia 706 | C0340354:Q fever endocarditis 707 | C0029456:Osteoporosis 708 | C0015397:Disorder of eye 709 | C0233494:Tension 710 | C3163805:Malignant epithelial neoplasm of female breast 711 | C0036117:Salmonella infections 712 | C0342527:Deficiency of testosterone biosynthesis 713 | C0524910:Hepatitis C, Chronic 714 | C0520577:Urethral atrophy 715 | C0221154:Paroxysmal hypertension 716 | C0014869:Peptic Esophagitis 717 | C0600142:Hot flushes 718 | C0085159:Seasonal Affective Disorder 719 | C0588233:Septicemia due to enterococcus 720 | C2316304:Human epidermal growth factor 2 negative carcinoma of breast 721 | C1142132:Carnitine deficiency 722 | C0276648:Mycotic endocarditis 723 | C0023968:Loiasis 724 | C0030319:Panic Disorder 725 | C0013295:Duodenal Ulcer 726 | C0812413:Malignant Pleural Mesothelioma 727 | C0032269:Pneumococcal Infections 728 | C0023487:Acute Promyelocytic Leukemia 729 | C4083212:Alopecia, Male Pattern 730 | C0032768:Postherpetic neuralgia 731 | C0919737:Platelet aggregation inhibition 732 | C3665869:Pseudomonas aeruginosa meningitis 733 | C0421162:Meningococcus carrier 734 | C0002726:Amyloidosis 735 | C0033578:Prostatic Neoplasms 736 | C0085786:Hamman-Rich syndrome 737 | C0020594:Hypoactive Sexual Desire Disorder 738 | C0157749:Arthropathy associated with infection 739 | C0238080:Toxic effect of cyanide 740 | C0029106:Opisthorchiasis 741 | C0730285:Diabetic macular edema 742 | C0010032:Corneal abrasion 743 | C0154639:Streptococcal meningitis 744 | C0568062:Methotrexate poisoning 745 | C0153254:Candidal endocarditis 746 | C0428974:Supraventricular arrhythmia 747 | C0009062:Clostridium Infections 748 | C0013882:Elephantiasis 749 | C0343378:Helicobacter-associated gastritis 750 | C0220756:Niemann-Pick Disease, Type C 751 | C0033581:prostatitis 752 | C0003873:Rheumatoid Arthritis 753 | C0155213:Hypertrichosis of eyelid 754 | C1510471:Vitamin Deficiency 755 | C0152964:Streptococcal sepsis 756 | C0027424:Nasal congestion (finding) 757 | C0156393:Atrophy of vulva 758 | C3163829:Sepsis due to Gram negative bacteria 759 | C1562585:Leprosy, Multibacillary 760 | C0600518:Choroidal Neovascularization 761 | C0033860:Psoriasis 762 | C0034886:Rectal pain 763 | C0003492:Aortic coarctation 764 | C0220655:Malignant pericardial effusion 765 | C0020625:Hyponatremia 766 | C0276064:Septicemia due to Bacteroides 767 | C0033246:Proctitis 768 | C0020621:Hypokalemia 769 | C0023465:Acute monocytic leukemia 770 | C0027051:Myocardial Infarction 771 | C0392171:Influenza-like symptoms 772 | C0339932:Acute Moraxella catarrhalis bronchitis 773 | C0238462:Medullary carcinoma of thyroid 774 | C1527383:Morphea 775 | C0406326:Scalp psoriasis 776 | C0338395:Meningitis, Escherichia coli 777 | C0010930:Dacryocystitis 778 | C0038363:Aphthous Stomatitis 779 | C0024138:Lupus Erythematosus, Discoid 780 | C0008513:Chorioretinitis 781 | C0018081:Gonorrhea 782 | C0033777:Pruritus of genital organs 783 | C0026764:Multiple Myeloma 784 | C0010043:Corneal Ulcer 785 | C0342907:Sitosterolemia 786 | C0343500:Gas gangrene caused by clostridium perfringens 787 | C0031350:Pharyngitis 788 | C0006118:Brain Neoplasms 789 | C1997322:Chlamydia trachomatis infection of genital structure 790 | C0242383:Age related macular degeneration 791 | C0854211:Bacterial keratitis 792 | C3163899:Squamous cell carcinoma of nose 793 | C0035086:Renal Osteodystrophy 794 | C1096562:Peptostreptococcus infection 795 | C0041321:Tuberculosis, Miliary 796 | C0238452:Thallium poisoning 797 | C0232940:Secondary physiologic amenorrhea 798 | C0043352:Xerostomia 799 | C0041976:Urethritis 800 | C0302592:Cervix carcinoma 801 | C0037299:Skin Ulcer 802 | C0042024:Urinary Incontinence 803 | C0001207:Hypersomatotropic gigantism 804 | C0027773:Nesidioblastosis 805 | C1112631:Allergic keratoconjunctivitis 806 | C0700345:Candidiasis, Vulvovaginal 807 | C1262211:Diarrhoea predominant irritable bowel syndrome 808 | C0155804:Acute maxillary sinusitis 809 | C0027498:Nausea and vomiting 810 | C0231403:Severe anxiety (panic) 811 | C0413194:Ethylene glycol poisoning (disorder) 812 | C0343065:Symptomatic dermographism 813 | C1274323:Recurrent genital herpes simplex 814 | C0014752:Erythrasma 815 | C0011991:Diarrhea 816 | C0269398:Miscarriage with sepsis 817 | C0019357:Keratitis, Herpetic 818 | C0856695:Acute exacerbation of chronic bronchitis 819 | C0038325:Stevens-Johnson Syndrome 820 | C0549315:Hydatidiform mole, benign 821 | C0241961:Angiomyolipoma of kidney 822 | C0741292:Paroxysmal atrial flutter 823 | C0002895:Anemia, Sickle Cell 824 | C0278488:Carcinoma breast stage IV 825 | C0751434:Classical phenylketonuria 826 | C2267231:Chronic idiopathic neutropenia 827 | C1260899:Anemia, Diamond-Blackfan 828 | C2349530:Pneumonia due to Staphylococcus aureus 829 | C0026718:Mucormycosis 830 | C0079744:Diffuse Large B-Cell Lymphoma 831 | C0339959:Chlamydial pneumonia 832 | C0034013:Precocious Puberty 833 | C0010346:Crohn Disease 834 | C0009770:Inclusion conjunctivitis 835 | C1278807:Chlamydial urethritis 836 | C0022073:Iridocyclitis 837 | C0019342:Genital Herpes 838 | C0581392:Exacerbation of multiple sclerosis 839 | C0086651:Mucopolysaccharidosis, MPS-IV-A 840 | C0572583:Antimetabolite overdose 841 | C0039254:Teniasis 842 | C0175167:Acneiform Eruptions 843 | C0274726:Poisoning by digitalis glycoside 844 | C0027726:Nephrotic Syndrome 845 | C0238298:Myxedema coma 846 | C0424620:Excess subcutaneous fat 847 | C0278701:Gastric Adenocarcinoma 848 | C0153633:Malignant neoplasm of brain 849 | C0151636:Premature ventricular contractions 850 | C0596298:Cerebrovascular Occlusion 851 | C0035457:Rhinitis, Allergic, Perennial 852 | C0585442:Osteosarcoma of bone 853 | C0262399:shoulder bursitis 854 | C1720797:Chronic Bacterial Prostatitis 855 | C0021775:Intermittent Claudication 856 | C0021355:Infective otitis externa 857 | C2267227:Bulimia Nervosa 858 | C0342634:Neonatal hypocalcemia 859 | C0268108:Chronic gouty arthritis 860 | C1273489:Asthma night-time symptoms 861 | C0564750:Peripheral arterial embolism 862 | C0341823:Epithelial tumor of ovary 863 | C0005424:Biliary Tract Diseases 864 | C0152020:Gastroparesis 865 | C0029458:Osteoporosis, Postmenopausal 866 | C0034362:Q Fever 867 | C0024141:Lupus Erythematosus, Systemic 868 | C1275317:Anaplastic large T-cell systemic malignant lymphoma 869 | C0003962:Ascites 870 | C0039621:Tetany 871 | C0017531:Angiolymphoid hyperplasia 872 | C0017575:Necrotizing Ulcerative Gingivitis 873 | C0006846:Cutaneous Candidiasis 874 | C0151482:Megaloblastic anemia due to folate deficiency 875 | C0005138:Berylliosis 876 | C0349649:Pulmonary lymphangioleiomyomatosis 877 | C1279247:Genitourinary tract infection 878 | C1318973:Staphylococcus aureus infection 879 | C0039503:Tendinitis 880 | C0008354:Cholera 881 | C0036271:Scalp Dermatoses 882 | C0744130:Diabetic foot infection 883 | C0221013:Mastocytosis, Systemic 884 | C0029878:Otitis Externa 885 | C0029076:Ophthalmia Neonatorum 886 | C0011615:Dermatitis, Atopic 887 | C0023886:Liver Abscess, Amebic 888 | C2062982:candidal peritonitis 889 | C0042571:Vertigo 890 | C0280324:Laryngeal Squamous Cell Carcinoma 891 | C0275979:Infection by Campylobacter fetus 892 | C0085606:Urgency of micturition 893 | C0010691:Cystinuria 894 | C3661921:Perioperative hypertension 895 | C0003864:Arthritis 896 | C0005697:Neurogenic Urinary Bladder 897 | C0162810:Cicatrix, Hypertrophic 898 | C0042548:Plantar wart 899 | C0276228:Herpes simplex keratoconjunctivitis 900 | C0267055:Erosive esophagitis 901 | C0275959:Acute tuberculosis 902 | C0024588:Malignant essential hypertension 903 | C0524662:Opiate Addiction 904 | C0153225:Gonococcal meningitis 905 | C0023885:Liver Abscess 906 | C0275793:Staphylococcal tonsillitis 907 | C0026705:Mucopolysaccharidosis II 908 | C0401160:Chemotherapy-induced nausea and vomiting 909 | C0026857:Musculoskeletal Diseases 910 | C0017605:Angle Closure Glaucoma 911 | C0729587:Infective blepharitis 912 | C0015503:Factor VII Deficiency 913 | C0008533:Hemophilia B 914 | C0030578:Paronychia Inflammation 915 | C0085649:Peripheral edema 916 | C0010692:Cystitis 917 | C0152253:Posterior synechiae 918 | C2919522:Congenital hemolytic uremic syndrome 919 | C0041472:Endemic Flea-Borne Typhus 920 | C0035021:Relapsing Fever 921 | C1275684:Meibomian gland dysfunction 922 | C0001403:Addison Disease 923 | C0155877:Allergic asthma 924 | C0349506:Photosensitivity of skin 925 | C0152486:Salmonella sepsis 926 | C0028840:Ocular Hypertension 927 | C0042900:Vitiligo 928 | C0857177:Arthritic pains 929 | C0029291:Psittacosis 930 | C0085413:Polycystic Kidney, Autosomal Dominant 931 | C0151907:Discoloration of skin 932 | C0017574:Gingivitis 933 | C0033845:Pseudotumor Cerebri 934 | C0023434:Chronic Lymphocytic Leukemia 935 | C0400968:Liver transplant rejection 936 | C0343730:Perianal warts 937 | C0040560:Toxoplasmosis, Congenital 938 | C0038157:Staphylococcal enterocolitis 939 | C0025306:Meningococcemia 940 | C0011849:Diabetes Mellitus 941 | C0409818:Chronic Infantile Neurological, Cutaneous, and Articular Syndrome 942 | C1827266:Decompensated chronic heart failure 943 | C0866125:Renal disease with edema NOS 944 | C0277528:Traveler's diarrhea 945 | C1261256:Pelvic inflammatory disease due to Mycoplasma hominis 946 | C0276688:Pulmonary cryptococcosis 947 | C0029396:Heterotopic Ossification 948 | C0275555:Acute bacterial epiglottitis 949 | C0040954:Infection by Trichuris trichiura 950 | C0031572:Phobia, Social 951 | C0342826:3-Beta-hydroxy-delta-5-C27-steroid dehydrogenase deficiency 952 | C0153601:Malignant neoplasm of penis 953 | C0854135:Pseudomonas aeruginosa infection 954 | C0343833:Tertiary lesion of yaws 955 | C0729586:Infective otitis media 956 | C0744451:GONOCOCCAL INFECTION DISSEMINATED 957 | C0007137:Squamous cell carcinoma 958 | C0029401:Osteitis Deformans 959 | C0019156:Hepatic Veno-Occlusive Disease 960 | C1828079:Dementia associated with Parkinson's Disease 961 | C0043388:Yaws 962 | C0020550:Hyperthyroidism 963 | C0002395:Alzheimer's Disease 964 | C2585890:Nonsquamous nonsmall cell neoplasm of lung 965 | C0162316:Iron deficiency anemia 966 | C0007947:Chancroids 967 | C0037195:Sinus headache 968 | C0039240:Supraventricular tachycardia 969 | C3665800:Streptococcal endocarditis 970 | C2316212:Cryopyrin-Associated Periodic Syndromes 971 | C0039131:Syphilis, Congenital 972 | C0155440:Chronic tubotympanic suppurative otitis media 973 | C0153240:Latent yaws 974 | C0426639:Incomplete passage of stool 975 | C0009769:Conjunctivitis, Giant Papillary 976 | C0010674:Cystic Fibrosis 977 | C0002170:Alopecia 978 | C0027430:Nasal Polyps 979 | C0013274:Patent ductus arteriosus 980 | C0041351:Tularemia 981 | C2349994:Tinea barbae 982 | C0003615:Appendicitis 983 | C1997728:Osteomyelitis due to Staphylococcus aureus 984 | C0338396:Proteus meningitis 985 | C0004030:Aspergillosis 986 | C0020479:Hyperlipoproteinemia Type III 987 | C0684256:Bacterial sepsis 988 | C0024117:Chronic Obstructive Airway Disease 989 | C0041473:Typhus, Epidemic Louse-Borne 990 | C0026896:Myasthenia Gravis 991 | C0343886:Gastrointestinal candidiasis 992 | C1274355:Streptococcal infection of skin 993 | C0740394:Hyperuricemia 994 | C0032290:Aspiration Pneumonia 995 | C0021603:Sleep Initiation and Maintenance Disorders 996 | C0022972:Lambert-Eaton Myasthenic Syndrome 997 | C0270327:Bedwetting 998 | C1269683:Major Depressive Disorder 999 | C0342827:Delta-4-3-oxosteroid-5-beta-reductase deficiency 1000 | C0585362:Squamous cell carcinoma of mouth 1001 | C0006114:Cerebral Edema 1002 | C0038048:Sprains and Strains 1003 | C0238198:Gastrointestinal Stromal Tumors 1004 | C0343386:Clostridium difficile infection 1005 | C0019348:Herpes Simplex Infections 1006 | C0006060:Boutonneuse Fever 1007 | C0405580:Adrenal cortical hypofunction 1008 | C0031946:Pinta 1009 | C0151940:Hypocalcemic tetany 1010 | C0036202:Sarcoidosis 1011 | C0040517:Gilles de la Tourette syndrome 1012 | C0011644:Scleroderma 1013 | C0008526:Choroiditis 1014 | C0007820:Cerebrovascular Disorders 1015 | C0311375:Arsenic Poisoning 1016 | C0349464:Wernicke-Korsakoff Syndrome 1017 | C0022354:Jaundice, Obstructive 1018 | C0002874:Aplastic Anemia 1019 | C0041343:Tubo-ovarian abscess 1020 | C1096254:Citrobacter sepsis 1021 | C0009768:Bacterial conjunctivitis 1022 | C0041471:TYPHUS 1023 | C0035460:Rhinitis, Vasomotor 1024 | C0271066:Choroidal retinal neovascularization 1025 | C0948089:Acute Coronary Syndrome 1026 | C0011608:Dermatitis Herpetiformis 1027 | C0006434:Burn injury 1028 | C0039483:Giant Cell Arteritis 1029 | C0024299:Lymphoma 1030 | C0152973:Serratia sepsis 1031 | C0275794:Staphylococcal pharyngitis 1032 | C0004153:Atherosclerosis 1033 | C0019655:Histoplasmosis 1034 | C0013395:Dyspepsia 1035 | C0002875:Cooley's anemia 1036 | C0558595:Uric acid renal calculus 1037 | C0862889:Superficial basal cell carcinoma 1038 | C0024301:Lymphoma, Follicular 1039 | C0348868:Listerial endocarditis 1040 | C0346976:Secondary malignant neoplasm of pancreas 1041 | C0043167:Pertussis 1042 | C2062454:Bacteroides empyema 1043 | C0023860:Listeriosis 1044 | C0342881:Familial hypercholesterolemia - homozygous 1045 | C0010543:Cyclitis 1046 | C0030590:Paroxysmal supraventricular tachycardia 1047 | C0149985:Syphilis, secondary 1048 | C0012546:Diphtheria 1049 | C0520777:Chlamydial pelvic inflammatory disease 1050 | C0038437:Female stress incontinence 1051 | C0018790:Cardiac Arrest 1052 | C0010414:Infection by Cryptococcus neoformans 1053 | C0038013:Ankylosing spondylitis 1054 | C0035455:Rhinitis 1055 | C0686510:Carcinoma in situ of adrenal cortex 1056 | C0006849:Oral candidiasis 1057 | C0596170:Binge eating disorder 1058 | C0162568:Erythropoietic Protoporphyria 1059 | C0030848:Peyronie Disease 1060 | C0275842:Early latent syphilis, positive serology, negative cerebrospinal fluid, less than 2 years after infection 1061 | C0021099:Impetigo 1062 | C0276653:Invasive Pulmonary Aspergillosis 1063 | C0153195:Acute gonococcal cervicitis 1064 | C0014836:Escherichia coli Infections 1065 | C0042165:Anterior uveitis 1066 | C0346993:Secondary malignant neoplasm of female breast 1067 | C0014553:Absence Epilepsy 1068 | C0003467:Anxiety 1069 | C0393735:Headache Disorders 1070 | C0040261:Onychomycosis 1071 | C0031190:Persistent Fetal Circulation Syndrome 1072 | C1260917:Proteus pneumonia 1073 | C0085631:Agitation 1074 | C0865436:Meningitis due to Bacteroides 1075 | C0242379:Malignant neoplasm of lung 1076 | C0025294:Meningococcal meningitis 1077 | C0730607:Severe chronic obstructive pulmonary disease 1078 | C0035220:Respiratory Distress Syndrome, Newborn 1079 | C1961835:Gaucher Disease, Type 1 1080 | C0042870:Vitamin D Deficiency 1081 | C2937222:Chronic ulcerative proctitis 1082 | C0013922:Embolism 1083 | C0029001:Onchocerciasis 1084 | C0027497:Nausea 1085 | C0028043:Nicotine Dependence 1086 | C0271578:Female hypogonadism syndrome 1087 | C1275687:Herpes zoster keratitis 1088 | C0341503:Bacterial peritonitis 1089 | C0456103:Sepsis of the newborn 1090 | C3875286:Complex dyslipidemia 1091 | C0043250:Injury wounds 1092 | C0085436:Meningitis, Cryptococcal 1093 | C3698411:Asymptomatic left ventricular systolic dysfunction 1094 | C0025295:Meningitis, Pneumococcal 1095 | C0278678:Metastatic Renal Cell Cancer 1096 | C0036830:Serum Sickness 1097 | C0153256:Candidal meningitis 1098 | C0392190:Mucositis following radiation therapy 1099 | C0027404:Narcolepsy 1100 | C0002892:Anemia, Pernicious 1101 | C0155880:Intrinsic asthma 1102 | C0022281:Itching of eye 1103 | C0687148:Mineral deficiency 1104 | C0023241:Legionnaires' Disease 1105 | C0263283:Contact dermatitis due to Rhus diversiloba 1106 | C3898069:Osteolytic Lesions of Multiple Myeloma 1107 | C0040252:Tinea corporis (disorder) 1108 | C0581358:Gastric spasm (disorder) 1109 | C0042847:Vitamin B 12 Deficiency 1110 | C0018802:Congestive heart failure 1111 | C0860594:Malignant melanoma, metastatic 1112 | C0038454:Cerebrovascular accident 1113 | C0020514:Hyperprolactinemia 1114 | C0149925:Small cell carcinoma of lung 1115 | C0024110:Lung Abscess 1116 | C0023443:Hairy Cell Leukemia 1117 | C0042029:Urinary tract infection 1118 | C0001144:Acne Vulgaris 1119 | C0022876:Premature Obstetric Labor 1120 | C1960764:Crohn's disease in remission 1121 | C0746683:MUSCULOSKELETAL PAIN CHRONIC 1122 | C0546837:Malignant neoplasm of esophagus 1123 | C0005283:beta Thalassemia 1124 | C0948205:Infection caused by Enterobacter 1125 | C0015371:Extrapyramidal Disorders 1126 | C0700359:Organophosphate poisoning 1127 | C0085682:Hypophosphatemia 1128 | C0036980:Shock, Cardiogenic 1129 | C1692886:Arthritis, Bacterial 1130 | C0023474:Leukemia, Myeloid, Chronic-Phase 1131 | C0153027:Herpes zoster keratoconjunctivitis 1132 | C0151874:Fungal infection of lung 1133 | C0011974:Diaper Rash 1134 | C0220656:Malignant ascites 1135 | C0001622:Adrenal Gland Hyperfunction 1136 | C0014549:Tonic-Clonic Epilepsy 1137 | C0079774:Peripheral T-Cell Lymphoma 1138 | C0730274:Vitreomacular traction syndrome 1139 | C0030567:Parkinson Disease 1140 | C1535478:Granulomatosis infantiseptica 1141 | C0007847:Malignant tumor of cervix 1142 | C0043208:Wolman Disease 1143 | C0002453:Amenorrhea 1144 | C0259799:Punctate keratitis 1145 | C0040250:Tinea Capitis 1146 | C0030446:Paralytic Ileus 1147 | C1260915:Late latent syphilis 1148 | C0028768:Obsessive-Compulsive Disorder 1149 | C3875321:Inflammatory dermatosis 1150 | C0011860:Diabetes Mellitus, Non-Insulin-Dependent 1151 | C0036323:Schistosomiasis 1152 | C0423673:Pain in spine 1153 | C0686068:Secondary malignant neoplasm of stomach 1154 | C1260880:Rhinorrhea 1155 | C0003868:Arthritis, Gouty 1156 | C0003950:Ascariasis 1157 | C0002736:Amyotrophic Lateral Sclerosis 1158 | C0006267:Bronchiectasis 1159 | C0022577:Keratoconjunctivitis, Vernal 1160 | C2215257:Acute postoperative pain 1161 | C1260911:Infection by Pasteurella multocida 1162 | C1632842:Complicated appendicitis 1163 | C0860048:Septic arthritis haemophilus 1164 | C0151908:Dry skin 1165 | C0080032:Pleural Effusion, Malignant 1166 | C0206525:Tuberculosis, Drug-Resistant 1167 | C0027708:Nephroblastoma 1168 | C0412850:Poisoning by opiate analgesic drug 1169 | C0151723:Hypomagnesemia 1170 | C0035243:Respiratory Tract Infections 1171 | C0010417:Cryptorchidism 1172 | C0520767:Staphylococcal endocarditis 1173 | C0740447:Diabetic peripheral neuropathy 1174 | C0014121:Bacterial Endocarditis 1175 | C0032285:Pneumonia 1176 | C0004245:Atrioventricular Block 1177 | C0032463:Polycythemia Vera 1178 | C1739363:Prostatic Hypertrophy 1179 | C0009663:Condylomata Acuminata 1180 | C0027022:Myeloproliferative disease 1181 | C0042376:Vascular Headaches 1182 | C0007194:Hypertrophic Cardiomyopathy 1183 | C0004238:Atrial Fibrillation 1184 | C0278140:Severe pain 1185 | C0013404:Dyspnea 1186 | C0234974:Simple Partial Seizures 1187 | C2607914:Allergic rhinitis (disorder) 1188 | C0040558:Toxoplasmosis 1189 | C0009443:Common Cold 1190 | C1527407:Eosinophilic Pneumonia 1191 | C0024115:Lung diseases 1192 | C0023440:Acute Erythroblastic Leukemia 1193 | C0474368:Labor Pain 1194 | C0020676:Hypothyroidism 1195 | C0002994:Angioedema 1196 | C0042135:Uterine Inertia 1197 | C0949083:Nosocomial pneumonia 1198 | C1960398:HER2-positive carcinoma of breast 1199 | C0040592:Trachoma 1200 | C0854215:Bacterial meningitis due to Gram-negative bacteria 1201 | C0456107:Neonatal meningitis 1202 | C0854528:Endocarditis haemophilus 1203 | C0267509:Chronic idiopathic constipation 1204 | C0038395:Streptococcal Infections 1205 | C0025874:Metrorrhagia 1206 | C0274462:Poisoning by sulfadiazine 1207 | C0155749:Arterial embolus and thrombosis 1208 | C0242422:Parkinsonian Disorders 1209 | C0030193:Pain 1210 | C0041408:Turner Syndrome 1211 | C0152967:Septicemia due to anaerobes 1212 | C0025293:Meningitis, Listeria 1213 | C0853852:Cystitis escherichia 1214 | C0040896:Trichinellosis 1215 | C0035585:Rickettsia Infections 1216 | C0019069:Hemophilia A 1217 | C0149922:Lichen Simplex Chronicus 1218 | C0238052:Xanthomatosis, Cerebrotendinous 1219 | C0149911:Humoral hypercalcemia of malignancy (disorder) 1220 | C0700053:Idiopathic hypertrophic subaortic stenosis 1221 | C0153193:Acute gonococcal epididymo-orchitis 1222 | C0019880:Homocystinuria 1223 | C0009766:Allergic Conjunctivitis 1224 | C0079773:Lymphoma, T-Cell, Cutaneous 1225 | C0030807:Pemphigus 1226 | C1563054:Dapsone resistant mycobacterium leprae disease 1227 | C0029104:Opioid withdrawal 1228 | C0024419:Waldenstrom Macroglobulinemia 1229 | C0004771:Bartonella Infections 1230 | -------------------------------------------------------------------------------- /dataset/drug_dict: -------------------------------------------------------------------------------- 1 | DB00746:Deferoxamine 2 | DB01137:Levofloxacin 3 | DB00003:Dornase alfa 4 | DB00810:Biperiden 5 | DB01083:Orlistat 6 | DB01319:Fosamprenavir 7 | DB00669:Sumatriptan 8 | DB01116:Trimethaphan 9 | DB09037:Pembrolizumab 10 | DB08909:Glycerol Phenylbutyrate 11 | DB00541:Vincristine 12 | DB03904:Urea 13 | DB00367:Levonorgestrel 14 | DB00661:Verapamil 15 | DB00133:L-Serine 16 | DB00244:Mesalazine 17 | DB00706:Tamsulosin 18 | DB06285:Teriparatide 19 | DB00710:Ibandronate 20 | DB00993:Azathioprine 21 | DB01270:Ranibizumab 22 | DB00239:Oxiconazole 23 | DB09081:Idebenone 24 | DB01243:Chloroxine 25 | DB00442:Entecavir 26 | DB09045:Dulaglutide 27 | DB00660:Metaxalone 28 | DB00869:Dorzolamide 29 | DB05271:Rotigotine 30 | DB00970:Dactinomycin 31 | DB08922:Perospirone 32 | DB00136:Calcitriol 33 | DB00016:Erythropoietin 34 | DB09082:Vilanterol 35 | DB00233:Aminosalicylic Acid 36 | DB00709:Lamivudine 37 | DB09223:Blonanserin 38 | DB00281:Lidocaine 39 | DB00402:Eszopiclone 40 | DB01364:Ephedrine 41 | DB06800:Methylnaltrexone 42 | DB06723:Aluminum hydroxide 43 | DB05259:Glatiramer Acetate 44 | DB00938:Salmeterol 45 | DB00623:Fluphenazine 46 | DB00039:Palifermin 47 | DB00977:Ethinyl Estradiol 48 | DB00539:Toremifene 49 | DB00649:Stavudine 50 | DB09499:Sodium thiosulfate 51 | DB09016:Butriptyline 52 | DB04846:Celiprolol 53 | DB01000:Cyclacillin 54 | DB00082:Pegvisomant 55 | DB06614:Peramivir 56 | DB01110:Miconazole 57 | DB01104:Sertraline 58 | DB00240:Alclometasone 59 | DB06176:Romidepsin 60 | DB00187:Esmolol 61 | DB01586:Ursodeoxycholic acid 62 | DB00038:Oprelvekin 63 | DB06786:Halcinonide 64 | DB00994:Neomycin 65 | DB01121:Phenacemide 66 | DB00700:Eplerenone 67 | DB00920:Ketotifen 68 | DB00181:Baclofen 69 | DB00839:Tolazamide 70 | DB00420:Promazine 71 | DB00900:Didanosine 72 | DB08917:Ferric Carboxymaltose 73 | DB01262:Decitabine 74 | DB00570:Vinblastine 75 | DB04465:Lactose 76 | DB00362:Anidulafungin 77 | DB01093:Dimethyl sulfoxide 78 | DB00270:Isradipine 79 | DB06616:Bosutinib 80 | DB00026:Anakinra 81 | DB09262:Imidafenacin 82 | DB00041:Aldesleukin 83 | DB08860:Pitavastatin 84 | DB11365:Senna glycoside 85 | DB01182:Propafenone 86 | DB09185:Viloxazine 87 | DB00493:Cefotaxime 88 | DB00682:Warfarin 89 | DB09357:Dexpanthenol 90 | DB08822:Azilsartan medoxomil 91 | DB01151:Desipramine 92 | DB00536:Guanidine 93 | DB00408:Loxapine 94 | DB05773:Trastuzumab emtansine 95 | DB00716:Nedocromil 96 | DB01210:Levobunolol 97 | DB00190:Carbidopa 98 | DB08804:Nandrolone decanoate 99 | DB00231:Temazepam 100 | DB09050:Ceftolozane 101 | DB01203:Nadolol 102 | DB01016:Glyburide 103 | DB00317:Gefitinib 104 | DB00734:Risperidone 105 | DB06637:Dalfampridine 106 | DB06715:Potassium Iodide 107 | DB00704:Naltrexone 108 | DB00980:Ramelteon 109 | DB00130:L-Glutamine 110 | DB01272:Alglucosidase alfa 111 | DB09525:"Sodium phosphate, monobasic, monohydrate" 112 | DB01274:Arformoterol 113 | DB00905:Bimatoprost 114 | DB00331:Metformin 115 | DB08871:Eribulin 116 | DB00196:Fluconazole 117 | DB09570:Ixazomib 118 | DB04899:Nesiritide 119 | DB00973:Ezetimibe 120 | DB00663:Flumethasone 121 | DB00333:Methadone 122 | DB06262:Droxidopa 123 | DB06772:Cabazitaxel 124 | DB00861:Diflunisal 125 | DB00476:Duloxetine 126 | DB09152:Nitrogen 127 | DB09127:Disodium phosphate 128 | DB00631:Clofarabine 129 | DB01234:Dexamethasone 130 | DB03619:Deoxycholic Acid 131 | DB09345:Pramocaine 132 | DB00783:Estradiol 133 | DB00121:Biotin 134 | DB05016:Ataluren 135 | DB00468:Quinine 136 | DB01167:Itraconazole 137 | DB01231:Diphenidol 138 | DB01369:Quinupristin 139 | DB06243:Eflornithine 140 | DB00624:Testosterone 141 | DB00604:Cisapride 142 | DB08875:Cabozantinib 143 | DB06186:Ipilimumab 144 | DB01406:Danazol 145 | DB06643:Denosumab 146 | DB09107:Methoxy polyethylene glycol-epoetin beta 147 | DB08936:Chlorcyclizine 148 | DB00449:Dipivefrin 149 | DB00424:Hyoscyamine 150 | DB09564:Insulin Degludec 151 | DB00730:Thiabendazole 152 | DB01238:Aripiprazole 153 | DB00002:Cetuximab 154 | DB06655:Liraglutide 155 | DB00242:Cladribine 156 | DB09114:Colfosceril palmitate 157 | DB01164:Calcium Chloride 158 | DB00954:Dirithromycin 159 | DB01437:Glutethimide 160 | DB01174:Phenobarbital 161 | DB00872:Conivaptan 162 | DB00262:Carmustine 163 | DB00283:Clemastine 164 | DB00349:Clobazam 165 | DB00004:Denileukin diftitox 166 | DB01435:Antipyrine 167 | DB01577:Methamphetamine 168 | DB00502:Haloperidol 169 | DB00336:Nitrofural 170 | DB00302:Tranexamic Acid 171 | DB01227:Levomethadyl Acetate 172 | DB00458:Imipramine 173 | DB00865:Benzphetamine 174 | DB01113:Papaverine 175 | DB00557:Hydroxyzine 176 | DB00563:Methotrexate 177 | DB01275:Hydralazine 178 | DB01251:Gliquidone 179 | DB06612:Mepolizumab 180 | DB00492:Fosinopril 181 | DB00355:Aztreonam 182 | DB00014:Goserelin 183 | DB00714:Apomorphine 184 | DB00922:Levosimendan 185 | DB00326:Calcium Gluceptate 186 | DB08888:Ocriplasmin 187 | DB00797:Tolazoline 188 | DB06372:Rilonacept 189 | DB01111:Colistimethate 190 | DB06824:Triethylenetetramine 191 | DB00762:Irinotecan 192 | DB01003:Cromoglicic acid 193 | DB01064:Isoprenaline 194 | DB00332:Ipratropium bromide 195 | DB00832:Phensuximide 196 | DB09141:Protamine sulfate 197 | DB08899:Enzalutamide 198 | DB00067:Vasopressin 199 | DB08827:Lomitapide 200 | DB09263:Patiromer 201 | DB00696:Ergotamine 202 | DB01232:Saquinavir 203 | DB00524:Metolazone 204 | DB00184:Nicotine 205 | DB01254:Dasatinib 206 | DB00250:Dapsone 207 | DB00423:Methocarbamol 208 | DB00999:Hydrochlorothiazide 209 | DB01068:Clonazepam 210 | DB01247:Isocarboxazid 211 | DB01563:Chloral hydrate 212 | DB06211:Doripenem 213 | DB00659:Acamprosate 214 | DB00593:Ethosuximide 215 | DB01057:Echothiophate 216 | DB00698:Nitrofurantoin 217 | DB09485:Cysteine hydrochloride 218 | DB01429:Aprindine 219 | DB06791:Lanreotide 220 | DB01340:Cilazapril 221 | DB01217:Anastrozole 222 | DB04572:Thiotepa 223 | DB00263:Sulfisoxazole 224 | DB09350:Piperonyl butoxide 225 | DB01208:Sparfloxacin 226 | DB00111:Daclizumab 227 | DB00708:Sufentanil 228 | DB01194:Brinzolamide 229 | DB00666:Nafarelin 230 | DB06777:Chenodeoxycholic acid 231 | DB00629:Guanabenz 232 | DB00515:Cisplatin 233 | DB01324:Polythiazide 234 | DB00742:Mannitol 235 | DB00876:Eprosartan 236 | DB00854:Levorphanol 237 | DB00047:Insulin Glargine 238 | DB01139:Cefapirin 239 | DB01140:Cefadroxil 240 | DB00366:Doxylamine 241 | DB00384:Triamterene 242 | DB00017:Salmon Calcitonin 243 | DB00584:Enalapril 244 | DB01184:Domperidone 245 | DB09072:Sodium oxybate 246 | DB00540:Nortriptyline 247 | DB00652:Pentazocine 248 | DB00615:Rifabutin 249 | DB00528:Lercanidipine 250 | DB00451:Levothyroxine 251 | DB00191:Phentermine 252 | DB00833:Cefaclor 253 | DB08823:Spinosad 254 | DB00950:Fexofenadine 255 | DB00787:Aciclovir 256 | DB00484:Brimonidine 257 | DB00595:Oxytetracycline 258 | DB00472:Fluoxetine 259 | DB04890:Bepotastine 260 | DB09526:Hydroquinone 261 | DB00986:Glycopyrronium 262 | DB09049:Naloxegol 263 | DB08933:Luliconazole 264 | DB00551:Acetohydroxamic Acid 265 | DB09205:Moxisylyte 266 | DB00568:Cinnarizine 267 | DB00048:Collagenase clostridium histolyticum 268 | DB00847:Cysteamine 269 | DB01042:Melphalan 270 | DB00106:Abarelix 271 | DB11560:Lesinurad 272 | DB09093:Chlortetracycline 273 | DB00176:Fluvoxamine 274 | DB00278:Argatroban 275 | DB06403:Ambrisentan 276 | DB06144:Sertindole 277 | DB06803:Niclosamide 278 | DB00530:Erlotinib 279 | DB01056:Tocainide 280 | DB08932:Macitentan 281 | DB00915:Amantadine 282 | DB00605:Sulindac 283 | DB00230:Pregabalin 284 | DB00433:Prochlorperazine 285 | DB09287:Polyethylene glycol 286 | DB00882:Clomifene 287 | DB06694:Xylometazoline 288 | DB00952:Naratriptan 289 | DB00310:Chlorthalidone 290 | DB06711:Naphazoline 291 | DB00300:Tenofovir 292 | DB01294:Bismuth Subsalicylate 293 | DB00911:Tinidazole 294 | DB00410:Mupirocin 295 | DB00030:Insulin Human 296 | DB01606:Tazobactam 297 | DB00885:Pemirolast 298 | DB00550:Propylthiouracil 299 | DB00608:Chloroquine 300 | DB00987:Cytarabine 301 | DB09449:Sodium phosphate 302 | DB00080:Daptomycin 303 | DB00908:Quinidine 304 | DB08902:Raxibacumab 305 | DB01138:Sulfinpyrazone 306 | DB05679:Ustekinumab 307 | DB09281:Magnesium Trisilicate 308 | DB00495:Zidovudine 309 | DB01209:Dezocine 310 | DB06788:Histrelin 311 | DB01122:Ambenonium 312 | DB01147:Cloxacillin 313 | DB09212:Loxoprofen 314 | DB01188:Ciclopirox 315 | DB01183:Naloxone 316 | DB00052:Somatropin recombinant 317 | DB00146:Calcidiol 318 | DB00642:Pemetrexed 319 | DB11362:Selexipag 320 | DB06626:Axitinib 321 | DB09235:Efonidipine 322 | DB02701:Nicotinamide 323 | DB09559:Necitumumab 324 | DB00027:Gramicidin D 325 | DB00350:Minoxidil 326 | DB00411:Carbachol 327 | DB00583:L-Carnitine 328 | DB00454:Pethidine 329 | DB11563:Sebelipase alfa 330 | DB01744:Camphor 331 | DB09555:Dexchlorpheniramine maleate 332 | DB09026:Aliskiren 333 | DB00937:Diethylpropion 334 | DB00796:Candesartan 335 | DB00151:L-Cysteine 336 | DB01597:Cilastatin 337 | DB00573:Fenoprofen 338 | DB01291:Pirbuterol 339 | DB09462:Glycerin 340 | DB00177:Valsartan 341 | DB01005:Hydroxyurea 342 | DB00957:Norgestimate 343 | DB00692:Phentolamine 344 | DB01627:Lincomycin 345 | DB01222:Budesonide 346 | DB01603:Meticillin 347 | DB00836:Loperamide 348 | DB00040:Glucagon recombinant 349 | DB00194:Vidarabine 350 | DB08885:Aflibercept 351 | DB00015:Reteplase 352 | DB01197:Captopril 353 | DB00241:Butalbital 354 | DB00195:Betaxolol 355 | DB00422:Methylphenidate 356 | DB01277:Mecasermin 357 | DB06148:Mianserin 358 | DB00651:Dyphylline 359 | DB00525:Tolnaftate 360 | DB01611:Hydroxychloroquine 361 | DB01033:Mercaptopurine 362 | DB09469:"Sodium phosphate, monobasic, anhydrous" 363 | DB01023:Felodipine 364 | DB00737:Meclizine 365 | DB06636:Isavuconazonium 366 | DB01283:Lumiracoxib 367 | DB05336:Obiltoxaximab 368 | DB01062:Oxybutynin 369 | DB09054:Idelalisib 370 | DB00972:Azelastine 371 | DB01142:Doxepin 372 | DB09154:Sodium Citrate 373 | DB08873:Boceprevir 374 | DB00998:Frovatriptan 375 | DB00964:Apraclonidine 376 | DB00951:Isoniazid 377 | DB00313:Valproic Acid 378 | DB00760:Meropenem 379 | DB00879:Emtricitabine 380 | DB00750:Prilocaine 381 | DB06207:Silodosin 382 | DB01352:Aprobarbital 383 | DB00223:Diflorasone 384 | DB08880:Teriflunomide 385 | DB01228:Encainide 386 | DB09351:Levobetaxolol 387 | DB09300:Scopolamine butylbromide 388 | DB00590:Doxazosin 389 | DB00112:Bevacizumab 390 | DB04865:Homoharringtonine 391 | DB00126:Vitamin C 392 | DB00527:Cinchocaine 393 | DB04948:Lofexidine 394 | DB00701:Amprenavir 395 | DB09041:Tavaborole 396 | DB01344:Polystyrene sulfonate 397 | DB09143:Sonidegib 398 | DB00374:Treprostinil 399 | DB00178:Ramipril 400 | DB00393:Nimodipine 401 | DB00107:Oxytocin 402 | DB00641:Simvastatin 403 | DB00368:Norepinephrine 404 | DB04837:Clofedanol 405 | DB01107:Methyprylon 406 | DB01036:Tolterodine 407 | DB01198:Zopiclone 408 | DB08795:Azidocillin 409 | DB00501:Cimetidine 410 | DB00924:Cyclobenzaprine 411 | DB06605:Apixaban 412 | DB00748:Carbinoxamine 413 | DB09040:Efinaconazole 414 | DB00690:Flurazepam 415 | DB05265:Ecabet 416 | DB07615:Tranilast 417 | DB09256:Tegafur 418 | DB00672:Chlorpropamide 419 | DB00929:Misoprostol 420 | DB01395:Drospirenone 421 | DB01118:Amiodarone 422 | DB01082:Streptomycin 423 | DB00434:Cyproheptadine 424 | DB01213:Fomepizole 425 | DB01160:Dinoprost Tromethamine 426 | DB00208:Ticlopidine 427 | DB01144:Diclofenamide 428 | DB00087:Alemtuzumab 429 | DB00667:Histamine Phosphate 430 | DB00273:Topiramate 431 | DB08931:Riociguat 432 | DB00822:Disulfiram 433 | DB01097:Leflunomide 434 | DB00405:Dexbrompheniramine 435 | DB06700:Desvenlafaxine 436 | DB06710:Methyltestosterone 437 | DB00966:Telmisartan 438 | DB00188:Bortezomib 439 | DB00752:Tranylcypromine 440 | DB01185:Fluoxymesterone 441 | DB01150:Cefprozil 442 | DB01576:Dextroamphetamine 443 | DB01129:Rabeprazole 444 | DB00227:Lovastatin 445 | DB09087:Potassium alum 446 | DB01330:Cefotetan 447 | DB03843:Formaldehyde 448 | DB00799:Tazarotene 449 | DB01103:Quinacrine 450 | DB00207:Azithromycin 451 | DB01589:Quazepam 452 | DB00381:Amlodipine 453 | DB01032:Probenecid 454 | DB01193:Acebutolol 455 | DB08864:Rilpivirine 456 | DB04932:Defibrotide 457 | DB00685:Trovafloxacin 458 | DB06819:Sodium phenylbutyrate 459 | DB04897:Lucinactant 460 | DB00971:Selenium Sulfide 461 | DB00335:Atenolol 462 | DB01235:Levodopa 463 | DB00477:Chlorpromazine 464 | DB01061:Azlocillin 465 | DB00074:Basiliximab 466 | DB00564:Carbamazepine 467 | DB00794:Primidone 468 | DB01072:Atazanavir 469 | DB01095:Fluvastatin 470 | DB00475:Chlordiazepoxide 471 | DB09396:Propoxyphene napsylate 472 | DB00251:Terconazole 473 | DB01021:Trichlormethiazide 474 | DB01393:Bezafibrate 475 | DB06698:Betahistine 476 | DB01101:Capecitabine 477 | DB01206:Lomustine 478 | DB06203:Alogliptin 479 | DB06412:Oxymetholone 480 | DB08897:Aclidinium 481 | DB09118:Stiripentol 482 | DB11591:Bilastine 483 | DB00514:Dextromethorphan 484 | DB09343:Tipiracil 485 | DB00213:Pantoprazole 486 | DB00681:Amphotericin B 487 | DB04861:Nebivolol 488 | DB01591:Solifenacin 489 | DB08935:Obinutuzumab 490 | DB09110:Mesna 491 | DB00774:Hydroflumethiazide 492 | DB01109:Heparin 493 | DB01156:Bupropion 494 | DB06268:Sitaxentan 495 | DB00939:Meclofenamic acid 496 | DB01599:Probucol 497 | DB01077:Etidronic acid 498 | DB01063:Acetophenazine 499 | DB01136:Carvedilol 500 | DB09077:Dinutuximab 501 | DB00469:Tenoxicam 502 | DB01397:Magnesium salicylate 503 | DB04842:Fluspirilene 504 | DB08941:Isoxsuprine 505 | DB00850:Perphenazine 506 | DB06674:golimumab 507 | DB08820:Ivacaftor 508 | DB01420:Testosterone Propionate 509 | DB00691:Moexipril 510 | DB08905:Formestane 511 | DB00169:Cholecalciferol 512 | DB00152:Thiamine 513 | DB01022:Phylloquinone 514 | DB06480:Prucalopride 515 | DB00853:Temozolomide 516 | DB01545:Ethyl loflazepate 517 | DB00626:Bacitracin 518 | DB01053:Benzylpenicillin 519 | DB09488:Acrivastine 520 | DB09038:Empagliflozin 521 | DB01595:Nitrazepam 522 | DB00620:Triamcinolone 523 | DB00375:Colestipol 524 | DB00249:Idoxuridine 525 | DB01331:Cefoxitin 526 | DB00397:Phenylpropanolamine 527 | DB00576:Sulfamethizole 528 | DB01436:Alfacalcidol 529 | DB08815:Lurasidone 530 | DB00306:Talbutal 531 | DB00443:Betamethasone 532 | DB00648:Mitotane 533 | DB00697:Tizanidine 534 | DB01214:Metipranolol 535 | DB06708:Lumefantrine 536 | DB00761:Potassium Chloride 537 | DB00665:Nilutamide 538 | DB01084:Emedastine 539 | DB00819:Acetazolamide 540 | DB00956:Hydrocodone 541 | DB01359:Penbutolol 542 | DB00566:Succimer 543 | DB00364:Sucralfate 544 | DB01148:Flavoxate 545 | DB06724:Calcium carbonate 546 | DB01013:Clobetasol propionate 547 | DB01119:Diazoxide 548 | DB00535:Cefdinir 549 | DB00324:Fluorometholone 550 | DB00201:Caffeine 551 | DB01233:Metoclopramide 552 | DB00717:Norethisterone 553 | DB00670:Pirenzepine 554 | DB03209:Oteracil 555 | DB00437:Allopurinol 556 | DB00647:Dextropropoxyphene 557 | DB00890:Dienestrol 558 | DB01400:Neostigmine 559 | DB00429:Carboprost Tromethamine 560 | DB00353:Methylergometrine 561 | DB00695:Furosemide 562 | DB01261:Sitagliptin 563 | DB00858:Drostanolone 564 | DB00825:Menthol 565 | DB01146:Diphenylpyraline 566 | DB00280:Disopyramide 567 | DB00830:Phenmetrazine 568 | DB00330:Ethambutol 569 | DB01410:Ciclesonide 570 | DB01307:Insulin Detemir 571 | DB01326:Cefamandole 572 | DB01413:Cefepime 573 | DB00906:Tiagabine 574 | DB00549:Zafirlukast 575 | DB00448:Lansoprazole 576 | DB01069:Promethazine 577 | DB01592:Iron 578 | DB00275:Olmesartan 579 | DB01244:Bepridil 580 | DB08904:Certolizumab pegol 581 | DB00341:Cetirizine 582 | DB09030:Vorapaxar 583 | DB00846:Flurandrenolide 584 | DB09276:Sodium aurothiomalate 585 | DB06809:Plerixafor 586 | DB01225:Enoxaparin 587 | DB00100:Coagulation Factor IX 588 | DB04920:Clevidipine 589 | DB05578:Ramucirumab 590 | DB00309:Vindesine 591 | DB01351:Amobarbital 592 | DB00421:Spironolactone 593 | DB00722:Lisinopril 594 | DB00896:Rimexolone 595 | DB08870:Brentuximab vedotin 596 | DB00274:Cefmetazole 597 | DB00290:Bleomycin 598 | DB01320:Fosphenytoin 599 | DB01105:Sibutramine 600 | DB00791:Uracil mustard 601 | DB00222:Glimepiride 602 | DB00338:Omeprazole 603 | DB00841:Dobutamine 604 | DB05294:Vandetanib 605 | DB05676:Apremilast 606 | DB00508:Triflupromazine 607 | DB06255:Incadronic acid 608 | DB06650:Ofatumumab 609 | DB00461:Nabumetone 610 | DB00772:Malathion 611 | DB00182:Amphetamine 612 | DB08887:Icosapent ethyl 613 | DB01130:Prednicarbate 614 | DB01155:Gemifloxacin 615 | DB00395:Carisoprodol 616 | DB08918:Levomilnacipran 617 | DB01100:Pimozide 618 | DB00814:Meloxicam 619 | DB01620:Pheniramine 620 | DB09290:Ramosetron 621 | DB01173:Orphenadrine 622 | DB00359:Sulfadiazine 623 | DB00220:Nelfinavir 624 | DB09122:Peginterferon beta-1a 625 | DB00153:Ergocalciferol 626 | DB06691:Mepyramine 627 | DB00073:Rituximab 628 | DB06603:Panobinostat 629 | DB00835:Brompheniramine 630 | DB01058:Praziquantel 631 | DB04895:Pegaptanib 632 | DB09322:Zinc sulfate 633 | DB00636:Clofibrate 634 | DB04930:Permethrin 635 | DB00632:Docosanol 636 | DB00643:Mebendazole 637 | DB00490:Buspirone 638 | DB01248:Docetaxel 639 | DB08826:Deferiprone 640 | DB00460:Verteporfin 641 | DB11606:Susoctocog alfa 642 | DB01075:Diphenhydramine 643 | DB00237:Butabarbital 644 | DB00736:Esomeprazole 645 | DB01037:Selegiline 646 | DB06823:Tiopronin 647 | DB09078:Lenvatinib 648 | DB11581:Venetoclax 649 | DB01430:Almitrine 650 | DB00801:Halazepam 651 | DB06016:Cariprazine 652 | DB00145:Glycine 653 | DB08869:Tesamorelin 654 | DB01018:Guanfacine 655 | DB04942:Tamibarotene 656 | DB01353:Butethal 657 | DB01615:Aceprometazine 658 | DB01166:Cilostazol 659 | DB00589:Lisuride 660 | DB08799:Antazoline 661 | DB00995:Auranofin 662 | DB00768:Olopatadine 663 | DB00889:Granisetron 664 | DB00179:Masoprocol 665 | DB09299:Tenofovir alafenamide 666 | DB00758:Clopidogrel 667 | DB00820:Tadalafil 668 | DB01196:Estramustine 669 | DB09096:Benzoyl peroxide 670 | DB00327:Hydromorphone 671 | DB00932:Tipranavir 672 | DB06274:Alvimopan 673 | DB00471:Montelukast 674 | DB09104:Magnesium hydroxide 675 | DB00425:Zolpidem 676 | DB00733:Pralidoxime 677 | DB11582:Thiocolchicoside 678 | DB01200:Bromocriptine 679 | DB00216:Eletriptan 680 | DB00816:Orciprenaline 681 | DB01170:Guanethidine 682 | DB01001:Salbutamol 683 | DB00385:Valrubicin 684 | DB00859:Penicillamine 685 | DB00252:Phenytoin 686 | DB00440:Trimethoprim 687 | DB00166:Lipoic Acid 688 | DB04398:Lactic Acid 689 | DB00210:Adapalene 690 | DB00063:Eptifibatide 691 | DB01201:Rifapentine 692 | DB00745:Modafinil 693 | DB09481:Magnesium carbonate 694 | DB00579:Mazindol 695 | DB00771:Clidinium 696 | DB00916:Metronidazole 697 | DB00668:Epinephrine 698 | DB00671:Cefixime 699 | DB01255:Lisdexamfetamine 700 | DB00967:Desloratadine 701 | DB00963:Bromfenac 702 | DB08907:Canagliflozin 703 | DB01171:Moclobemide 704 | DB00740:Riluzole 705 | DB00226:Guanadrel 706 | DB01349:Tasosartan 707 | DB00985:Dimenhydrinate 708 | DB00675:Tamoxifen 709 | DB09517:Sodium ferric gluconate complex 710 | DB09228:Conestat alfa 711 | DB09079:Nintedanib 712 | DB06783:Prussian blue 713 | DB09258:Bemiparin 714 | DB09213:Dexibuprofen 715 | DB00592:Piperazine 716 | DB01580:Oxprenolol 717 | DB06413:Armodafinil 718 | DB00813:Fentanyl 719 | DB09265:Lixisenatide 720 | DB00049:Rasburicase 721 | DB00078:Ibritumomab tiuxetan 722 | DB05630:Sodium stibogluconate 723 | DB00031:Tenecteplase 724 | DB01415:Ceftibuten 725 | DB00203:Sildenafil 726 | DB00625:Efavirenz 727 | DB01178:Chlormezanone 728 | DB00139:Succinic acid 729 | DB08890:Linaclotide 730 | DB00588:Fluticasone Propionate 731 | DB00811:Ribavirin 732 | DB00975:Dipyridamole 733 | DB01579:Phendimetrazine 734 | DB00705:Delavirdine 735 | DB01357:Mestranol 736 | DB00650:Leucovorin 737 | DB09053:Ibrutinib 738 | DB00577:Valaciclovir 739 | DB01268:Sunitinib 740 | DB00903:Etacrynic acid 741 | DB01250:Olsalazine 742 | DB00862:Vardenafil 743 | DB00989:Rivastigmine 744 | DB00268:Ropinirole 745 | DB01257:Eculizumab 746 | DB05013:Ingenol Mebutate 747 | DB06283:Ziconotide 748 | DB00543:Amoxapine 749 | DB05332:Romiplostim 750 | DB00609:Ethionamide 751 | DB00744:Zileuton 752 | DB01085:Pilocarpine 753 | DB06692:Aprotinin 754 | DB09331:Daratumumab 755 | DB00979:Cyclopentolate 756 | DB00949:Felbamate 757 | DB00282:Pamidronate 758 | DB06402:Telavancin 759 | DB00467:Enoxacin 760 | DB00328:Indomethacin 761 | DB01240:Epoprostenol 762 | DB06209:Prasugrel 763 | DB00878:Chlorhexidine 764 | DB00711:Diethylcarbamazine 765 | DB01046:Lubiprostone 766 | DB00678:Losartan 767 | DB01501:Difenoxin 768 | DB00340:Metixene 769 | DB00180:Flunisolide 770 | DB01195:Flecainide 771 | DB08993:Enviomycin 772 | DB00773:Etoposide 773 | DB00764:Mometasone 774 | DB00808:Indapamide 775 | DB01377:Magnesium oxide 776 | DB00596:Ulobetasol 777 | DB09229:Aranidipine 778 | DB01025:Amlexanox 779 | DB00503:Ritonavir 780 | DB01590:Everolimus 781 | DB00827:Cinoxacin 782 | DB00940:Methantheline 783 | DB01427:Amrinone 784 | DB01588:Prazepam 785 | DB08900:Teduglutide 786 | DB09472:Sodium sulfate 787 | DB00238:Nevirapine 788 | DB00520:Caspofungin 789 | DB01394:Colchicine 790 | DB00884:Risedronate 791 | DB00005:Etanercept 792 | DB01267:Paliperidone 793 | DB01266:Sinecatechins 794 | DB00657:Mecamylamine 795 | DB01279:Galsulfase 796 | DB06663:Pasireotide 797 | DB00068:Interferon beta-1b 798 | DB00599:Thiopental 799 | DB08934:Sofosbuvir 800 | DB09039:Eliglustat 801 | DB04896:Milnacipran 802 | DB00856:Chlorphenesin 803 | DB01172:Kanamycin 804 | DB08998:Demexiptiline 805 | DB00291:Chlorambucil 806 | DB00363:Clozapine 807 | DB00798:Gentamicin 808 | DB00090:Laronidase 809 | DB09512:Simethicone 810 | DB00571:Propranolol 811 | DB00960:Pindolol 812 | DB00056:Gemtuzumab ozogamicin 813 | DB00806:Pentoxifylline 814 | DB09047:Finafloxacin 815 | DB01076:Atorvastatin 816 | DB09112:Sodium Nitrite 817 | DB00259:Sulfanilamide 818 | DB06813:Pralatrexate 819 | DB00060:Interferon beta-1a 820 | DB00674:Galantamine 821 | DB00795:Sulfasalazine 822 | DB00921:Buprenorphine 823 | DB09321:Zinc oxide 824 | DB00544:Fluorouracil 825 | DB01600:Tiaprofenic acid 826 | DB00415:Ampicillin 827 | DB01621:Pipotiazine 828 | DB06701:Dexmethylphenidate 829 | DB00446:Chloramphenicol 830 | DB01306:Insulin Aspart 831 | DB00137:Xanthophyll 832 | DB00224:Indinavir 833 | DB00635:Prednisone 834 | DB01625:Isopropamide 835 | DB00622:Nicardipine 836 | DB00803:Colistin 837 | DB09076:Umeclidinium 838 | DB00377:Palonosetron 839 | DB01070:Dihydrotachysterol 840 | DB00603:Medroxyprogesterone acetate 841 | DB00497:Oxycodone 842 | DB09310:Coagulation Factor XIII A-Subunit (Recombinant) 843 | DB00059:Pegaspargase 844 | DB00232:Methyclothiazide 845 | DB01202:Levetiracetam 846 | DB04868:Nilotinib 847 | DB04876:Vildagliptin 848 | DB00598:Labetalol 849 | DB06147:Sulfathiazole 850 | DB04575:Quinestrol 851 | DB00103:Agalsidase beta 852 | DB06817:Raltegravir 853 | DB09292:Sacubitril 854 | DB09034:Suvorexant 855 | DB00398:Sorafenib 856 | DB09014:Captodiame 857 | DB00417:Phenoxymethylpenicillin 858 | DB09043:Albiglutide 859 | DB00855:Aminolevulinic acid 860 | DB09101:Elvitegravir 861 | DB00209:Trospium 862 | DB05239:Cobimetinib 863 | DB00303:Ertapenem 864 | DB00988:Dopamine 865 | DB09543:Methyl salicylate 866 | DB00844:Nalbuphine 867 | DB09166:Etizolam 868 | DB00348:Nitisinone 869 | DB00491:Miglitol 870 | DB00413:Pramipexole 871 | DB06684:Vilazodone 872 | DB00902:Methdilazine 873 | DB00531:Cyclophosphamide 874 | DB00494:Entacapone 875 | DB00755:Tretinoin 876 | DB09267:Strontium ranelate 877 | DB09496:Octinoxate 878 | DB01132:Pioglitazone 879 | DB06168:Canakinumab 880 | DB00784:Mefenamic acid 881 | DB00287:Travoprost 882 | DB00749:Etodolac 883 | DB00092:Alefacept 884 | DB00193:Tramadol 885 | DB09330:Osimertinib 886 | DB06826:Unoprostone 887 | DB00974:Edetic Acid 888 | DB01332:Ceftizoxime 889 | DB09552:Thonzonium bromide 890 | DB00935:Oxymetazoline 891 | DB09571:Levomethamphetamine 892 | DB01333:Cefradine 893 | DB00838:Clocortolone 894 | DB00723:Methoxamine 895 | DB00578:Carbenicillin 896 | DB00904:Ondansetron 897 | DB05311:Ecallantide 898 | DB00360:Sapropterin 899 | DB06288:Amisulpride 900 | DB01623:Thiothixene 901 | DB00020:Sargramostim 902 | DB06771:Besifloxacin 903 | DB00286:Conjugated Estrogens 904 | DB01007:Tioconazole 905 | DB00036:Coagulation factor VIIa Recombinant Human 906 | DB01165:Ofloxacin 907 | DB00295:Morphine 908 | DB00680:Moricizine 909 | DB01433:Methadyl Acetate 910 | DB00683:Midazolam 911 | DB00131:Adenosine monophosphate 912 | DB00394:Beclomethasone dipropionate 913 | DB09320:Procaine benzylpenicillin 914 | DB11575:Grazoprevir 915 | DB08872:gabapentin enacarbil 916 | DB00379:Mexiletine 917 | DB00500:Tolmetin 918 | DB01411:Pranlukast 919 | DB09031:Miltefosine 920 | DB00456:Cefalotin 921 | DB00555:Lamotrigine 922 | DB00488:Altretamine 923 | DB00880:Chlorothiazide 924 | DB00601:Linezolid 925 | DB00198:Oseltamivir 926 | DB00162:Vitamin A 927 | DB00088:Alglucerase 928 | DB00931:Methacycline 929 | DB09198:Lobeglitazone 930 | DB00687:Fludrocortisone 931 | DB00158:Folic Acid 932 | DB01124:Tolbutamide 933 | DB06720:Velaglucerase alfa 934 | DB01551:Dihydrocodeine 935 | DB00757:Dolasetron 936 | DB00775:Tirofiban 937 | DB01096:Oxamniquine 938 | DB00554:Piroxicam 939 | DB00211:Midodrine 940 | DB01112:Cefuroxime 941 | DB00765:Metyrosine 942 | DB09109:Turoctocog alfa 943 | DB00315:Zolmitriptan 944 | DB05015:Belinostat 945 | DB01141:Micafungin 946 | DB00857:Terbinafine 947 | DB11569:Ixekizumab 948 | DB08913:Radium Ra 223 Dichloride 949 | DB00043:Omalizumab 950 | DB00845:Clofazimine 951 | DB09279:Fimasartan 952 | DB00948:Mezlocillin 953 | DB01044:Gatifloxacin 954 | DB00186:Lorazepam 955 | DB04845:Ixabepilone 956 | DB09407:Magnesium chloride 957 | DB00887:Bumetanide 958 | DB06401:Bazedoxifene 959 | DB00007:Leuprolide 960 | DB00726:Trimipramine 961 | DB00091:Cyclosporine 962 | DB08911:Trametinib 963 | DB06216:Asenapine 964 | DB00776:Oxcarbazepine 965 | DB01128:Bicalutamide 966 | DB00547:Desoximetasone 967 | DB08439:Parecoxib 968 | DB00874:Guaifenesin 969 | DB00318:Codeine 970 | DB06782:Dimercaprol 971 | DB00888:Mechlorethamine 972 | DB00849:Methylphenobarbital 973 | DB01356:Lithium 974 | DB00479:Amikacin 975 | DB09477:Enalaprilat 976 | DB06725:Lornoxicam 977 | DB00001:Lepirudin 978 | DB09352:Hydroxyamphetamine hydrobromide 979 | DB11595:Atezolizumab 980 | DB01133:Tiludronate 981 | DB00438:Ceftazidime 982 | DB00871:Terbutaline 983 | DB01131:Proguanil 984 | DB00727:Nitroglycerin 985 | DB00542:Benazepril 986 | DB06717:Fosaprepitant 987 | DB01229:Paclitaxel 988 | DB01601:Lopinavir 989 | DB06196:Icatibant 990 | DB09068:Vortioxetine 991 | DB00358:Mefloquine 992 | DB00852:Pseudoephedrine 993 | DB00099:Filgrastim 994 | DB00770:Alprostadil 995 | DB00655:Estrone 996 | DB01282:Carbetocin 997 | DB00361:Vinorelbine 998 | DB00373:Timolol 999 | DB00343:Diltiazem 1000 | DB08828:Vismodegib 1001 | DB01048:Abacavir 1002 | DB00383:Oxyphencyclimine 1003 | DB00925:Phenoxybenzamine 1004 | DB01190:Clindamycin 1005 | DB00519:Trandolapril 1006 | DB01065:Melatonin 1007 | DB01176:Cyclizine 1008 | DB00444:Teniposide 1009 | DB01223:Aminophylline 1010 | DB00545:Pyridostigmine 1011 | DB09125:Potassium Citrate 1012 | DB00205:Pyrimethamine 1013 | DB08816:Ticagrelor 1014 | DB00435:Nitric Oxide 1015 | DB08906:Fluticasone furoate 1016 | DB00842:Oxazepam 1017 | DB00010:Sermorelin 1018 | DB00299:Penciclovir 1019 | DB06590:Ceftaroline fosamil 1020 | DB00981:Physostigmine 1021 | DB09264:Idarucizumab 1022 | DB00754:Ethotoin 1023 | DB00258:Calcium Acetate 1024 | DB01260:Desonide 1025 | DB04941:Crofelemer 1026 | DB09302:Alirocumab 1027 | DB06718:Stanozolol 1028 | DB00427:Triprolidine 1029 | DB09085:Tetracaine 1030 | DB11320:Histamine 1031 | DB00481:Raloxifene 1032 | DB00319:Piperacillin 1033 | DB06414:Etravirine 1034 | DB06219:Dalbavancin 1035 | DB01158:Bretylium 1036 | DB00673:Aprepitant 1037 | DB00831:Trifluoperazine 1038 | DB01242:Clomipramine 1039 | DB01280:Nelarabine 1040 | DB05528:Mipomersen 1041 | DB06290:Simeprevir 1042 | DB00339:Pyrazinamide 1043 | DB08879:Belimumab 1044 | DB00334:Olanzapine 1045 | DB06769:Bendamustine 1046 | DB09084:Benzydamine 1047 | DB00509:Dextrothyroxine 1048 | DB01026:Ketoconazole 1049 | DB00289:Atomoxetine 1050 | DB00521:Carteolol 1051 | DB11574:Elbasvir 1052 | DB01126:Dutasteride 1053 | DB00357:Aminoglutethimide 1054 | DB00654:Latanoprost 1055 | DB00218:Moxifloxacin 1056 | DB00558:Zanamivir 1057 | DB00322:Floxuridine 1058 | DB09296:Ombitasvir 1059 | DB01081:Diphenoxylate 1060 | DB01550:Fenproporex 1061 | DB08894:Peginesatide 1062 | DB08903:Bedaquiline 1063 | DB09035:Nivolumab 1064 | DB00464:Sodium Tetradecyl Sulfate 1065 | DB01115:Nifedipine 1066 | DB01264:Darunavir 1067 | DB09075:Edoxaban 1068 | DB00712:Flurbiprofen 1069 | DB01618:Molindone 1070 | DB08916:Afatinib 1071 | DB00465:Ketorolac 1072 | DB00703:Methazolamide 1073 | DB00352:Tioguanine 1074 | DB00829:Diazepam 1075 | DB01204:Mitoxantrone 1076 | DB06799:Hexamethylenetetramine 1077 | DB00724:Imiquimod 1078 | DB01169:Arsenic trioxide 1079 | DB08910:Pomalidomide 1080 | DB01186:Pergolide 1081 | DB01598:Imipenem 1082 | DB01289:Glisoxepide 1083 | DB00619:Imatinib 1084 | DB06155:Rimonabant 1085 | DB09115:Diiodohydroxyquinoline 1086 | DB01348:Spirapril 1087 | DB00569:Fondaparinux sodium 1088 | DB00387:Procyclidine 1089 | DB01609:Deferasirox 1090 | DB09293:Sodium Iodide I-131 1091 | DB00008:Peginterferon alfa-2a 1092 | DB09274:Artesunate 1093 | DB00305:Mitomycin 1094 | DB00023:Asparaginase 1095 | DB00095:Efalizumab 1096 | DB00110:Palivizumab 1097 | DB09269:Phenylacetic acid 1098 | DB00418:Secobarbital 1099 | DB00735:Naftifine 1100 | DB01281:Abatacept 1101 | DB00644:Gonadorelin 1102 | DB01008:Busulfan 1103 | DB00719:Azatadine 1104 | DB04843:Mepenzolate 1105 | DB09353:Sulfur 1106 | DB00371:Meprobamate 1107 | DB06768:Ammonium lactate 1108 | DB00266:Dicoumarol 1109 | DB01224:Quetiapine 1110 | DB09033:Vedolizumab 1111 | DB00391:Sulpiride 1112 | DB09560:Filgrastim-sndz 1113 | DB09144:Uridine triacetate 1114 | DB01127:Econazole 1115 | DB05521:Telaprevir 1116 | DB00782:Propantheline 1117 | DB00354:Buclizine 1118 | DB04878:Voglibose 1119 | DB06589:Pazopanib 1120 | DB00455:Loratadine 1121 | DB09029:Secukinumab 1122 | DB01361:Troleandomycin 1123 | DB00612:Bisoprolol 1124 | DB00053:Imiglucerase 1125 | DB00517:Anisotropine Methylbromide 1126 | DB08819:Tafluprost 1127 | DB01004:Ganciclovir 1128 | DB00314:Capreomycin 1129 | DB00863:Ranitidine 1130 | DB00432:Trifluridine 1131 | DB00108:Natalizumab 1132 | DB00741:Hydrocortisone 1133 | DB00978:Lomefloxacin 1134 | DB01241:Gemfibrozil 1135 | DB01149:Nefazodone 1136 | DB00713:Oxacillin 1137 | DB00731:Nateglinide 1138 | DB01218:Halofantrine 1139 | DB04854:Febuxostat 1140 | DB02703:Fusidic Acid 1141 | DB00894:Testolactone 1142 | DB09102:Daclatasvir 1143 | DB00559:Bosentan 1144 | DB00321:Amitriptyline 1145 | DB01120:Gliclazide 1146 | DB00376:Trihexyphenidyl 1147 | DB00122:Choline 1148 | DB00718:Adefovir Dipivoxil 1149 | DB00104:Octreotide 1150 | DB00518:Albendazole 1151 | DB06756:Glycine betaine 1152 | DB00253:Medrysone 1153 | DB08868:Fingolimod 1154 | DB00868:Benzonatate 1155 | DB01367:Rasagiline 1156 | DB00883:Isosorbide Dinitrate 1157 | DB01106:Levocabastine 1158 | DB00936:Salicylic acid 1159 | DB01416:Cefpodoxime 1160 | DB00159:Icosapent 1161 | DB06681:Belatacept 1162 | DB00288:Amcinonide 1163 | DB00826:Natamycin 1164 | DB01050:Ibuprofen 1165 | DB00245:Benzatropine 1166 | DB06292:Dapagliflozin 1167 | DB00478:Rimantadine 1168 | DB06774:Capsaicin 1169 | DB01432:Cholestyramine 1170 | DB00457:Prazosin 1171 | DB04908:Flibanserin 1172 | DB00725:Homatropine Methylbromide 1173 | DB06760:Sacrosidase 1174 | DB06702:Fesoterodine 1175 | DB06820:Sulconazole 1176 | DB09146:Sucroferric Oxyhydroxide 1177 | DB01039:Fenofibrate 1178 | DB00634:Sulfacetamide 1179 | DB00022:Peginterferon alfa-2b 1180 | DB04871:Lorcaserin 1181 | DB00346:Alfuzosin 1182 | DB01015:Sulfamethoxazole 1183 | DB09245:Toloxatone 1184 | DB01030:Topotecan 1185 | DB09060:Avibactam 1186 | DB01764:Dalfopristin 1187 | DB08930:Dolutegravir 1188 | DB00763:Methimazole 1189 | DB00235:Milrinone 1190 | DB05812:Abiraterone 1191 | DB08984:Etofenamate 1192 | DB09468:"Sodium phosphate, dibasic, heptahydrate" 1193 | DB00875:Flupentixol 1194 | DB09128:Brexpiprazole 1195 | DB01059:Norfloxacin 1196 | DB00881:Quinapril 1197 | DB00013:Urokinase 1198 | DB00459:Acitretin 1199 | DB01216:Finasteride 1200 | DB00128:L-Aspartic Acid 1201 | DB09048:Netupitant 1202 | DB08882:Linagliptin 1203 | DB00431:Lindane 1204 | DB01117:Atovaquone 1205 | DB00552:Pentostatin 1206 | DB00046:Insulin Lispro 1207 | DB00611:Butorphanol 1208 | DB00997:Doxorubicin 1209 | DB06811:Polidocanol 1210 | DB00480:Lenalidomide 1211 | DB04911:Oritavancin 1212 | DB00792:Tripelennamine 1213 | DB09183:Dasabuvir 1214 | DB00206:Reserpine 1215 | DB08874:Fidaxomicin 1216 | DB00639:Butoconazole 1217 | DB06212:Tolvaptan 1218 | DB00891:Sulfapyridine 1219 | DB01114:Chlorphenamine 1220 | DB01438:Phenazopyridine 1221 | DB00656:Trazodone 1222 | DB00800:Fenoldopam 1223 | DB06742:Ambroxol 1224 | DB00065:Infliximab 1225 | DB00512:Vancomycin 1226 | DB01175:Escitalopram 1227 | DB01399:Salsalate 1228 | DB00396:Progesterone 1229 | DB00243:Ranolazine 1230 | DB00277:Theophylline 1231 | DB00102:Becaplermin 1232 | DB04855:Dronedarone 1233 | DB09083:Ivabradine 1234 | DB08889:Carfilzomib 1235 | DB00320:Dihydroergotamine 1236 | DB05109:Trabectedin 1237 | DB04786:Suramin 1238 | DB00958:Carboplatin 1239 | DB03255:Phenol 1240 | DB00406:Gentian Violet 1241 | DB00793:Haloprogin 1242 | DB08901:Ponatinib 1243 | DB00946:Phenprocoumon 1244 | DB08895:Tofacitinib 1245 | DB00707:Porfimer 1246 | DB00560:Tigecycline 1247 | DB09303:Evolocumab 1248 | DB01041:Thalidomide 1249 | DB00877:Sirolimus 1250 | DB09071:Tasimelteon 1251 | DB00617:Paramethadione 1252 | DB00860:Prednisolone 1253 | DB00482:Celecoxib 1254 | DB00679:Thioridazine 1255 | DB08912:Dabrafenib 1256 | DB00627:Niacin 1257 | DB01328:Cefonicid 1258 | DB06287:Temsirolimus 1259 | DB01047:Fluocinonide 1260 | DB00586:Diclofenac 1261 | DB01237:Bromodiphenhydramine 1262 | DB01219:Dantrolene 1263 | DB00983:Formoterol 1264 | DB06770:Benzyl alcohol 1265 | DB00265:Crotamiton 1266 | DB00899:Remifentanil 1267 | DB00694:Daunorubicin 1268 | DB03166:Acetic acid 1269 | DB00873:Loteprednol 1270 | DB00934:Maprotiline 1271 | DB06761:Beractant 1272 | DB06317:Elotuzumab 1273 | DB00316:Acetaminophen 1274 | DB00759:Tetracycline 1275 | DB00051:Adalimumab 1276 | DB00594:Amiloride 1277 | DB00646:Nystatin 1278 | DB00942:Cycrimine 1279 | DB00426:Famciclovir 1280 | DB01220:Rifaximin 1281 | DB00968:Methyldopa 1282 | DB00297:Bupivacaine 1283 | DB04938:Ospemifene 1284 | DB00581:Lactulose 1285 | DB01212:Ceftriaxone 1286 | DB00912:Repaglinide 1287 | DB00325:Nitroprusside 1288 | DB01239:Chlorprothixene 1289 | DB00962:Zaleplon 1290 | DB01014:Balsalazide 1291 | DB04571:Trioxsalen 1292 | DB08923:Epoetin Zeta 1293 | DB00640:Adenosine 1294 | DB00399:Zoledronic acid 1295 | DB09291:Rolapitant 1296 | DB09389:Norgestrel 1297 | DB09042:Tedizolid Phosphate 1298 | DB02659:Cholic Acid 1299 | DB00485:Dicloxacillin 1300 | DB00582:Voriconazole 1301 | DB06766:Alcaftadine 1302 | DB00591:Fluocinolone Acetonide 1303 | DB00537:Ciprofloxacin 1304 | DB09272:Eluxadoline 1305 | DB00234:Reboxetine 1306 | DB00575:Clonidine 1307 | DB06201:Rufinamide 1308 | DB11363:Alectinib 1309 | DB06267:Udenafil 1310 | DB01020:Isosorbide Mononitrate 1311 | DB09324:Sulbactam 1312 | DB01380:Cortisone acetate 1313 | DB00630:Alendronic acid 1314 | DB05246:Methsuximide 1315 | DB08908:Dimethyl fumarate 1316 | DB00419:Miglustat 1317 | DB01009:Ketoprofen 1318 | DB11596:Levoleucovorin 1319 | DB00389:Carbimazole 1320 | DB09073:Palbociclib 1321 | DB06237:Avanafil 1322 | DB01612:Amyl Nitrite 1323 | DB05245:Silver sulfadiazine 1324 | DB09020:Bisacodyl 1325 | DB09027:Ledipasvir 1326 | DB00351:Megestrol acetate 1327 | DB01060:Amoxicillin 1328 | DB00684:Tobramycin 1329 | DB09332:Kappadione 1330 | DB00653:Magnesium Sulfate 1331 | DB01327:Cefazolin 1332 | DB00953:Rizatriptan 1333 | DB00254:Doxycycline 1334 | DB00370:Mirtazapine 1335 | DB03404:Hemin 1336 | DB06210:Eltrombopag 1337 | DB00969:Alosetron 1338 | DB01269:Panitumumab 1339 | DB00009:Alteplase 1340 | DB06151:Acetylcysteine 1341 | DB00189:Ethchlorvynol 1342 | DB00261:Anagrelide 1343 | DB00567:Cephalexin 1344 | DB09113:Poractant alfa 1345 | DB00645:Dyclonine 1346 | DB01440:Gamma Hydroxybutyric Acid 1347 | DB06794:Lodoxamide 1348 | DB06439:Tyloxapol 1349 | DB01029:Irbesartan 1350 | DB00248:Cabergoline 1351 | DB00165:Pyridoxine 1352 | DB00441:Gemcitabine 1353 | DB06204:Tapentadol 1354 | DB09036:Siltuximab 1355 | DB00507:Nitazoxanide 1356 | DB00788:Naproxen 1357 | DB06415:Calfactant 1358 | DB08896:Regorafenib 1359 | DB09323:Benzathine benzylpenicillin 1360 | DB00602:Ivermectin 1361 | DB09230:Azelnidipine 1362 | DB06764:Tetryzoline 1363 | DB04946:Iloperidone 1364 | DB00867:Ritodrine 1365 | DB01086:Benzocaine 1366 | DB00323:Tolcapone 1367 | DB00109:Enfuvirtide 1368 | DB00436:Bendroflumethiazide 1369 | DB00561:Doxapram 1370 | DB00843:Donepezil 1371 | DB00766:Clavulanate 1372 | DB00175:Pravastatin 1373 | DB09221:Polaprezinc 1374 | DB01619:Phenindamine 1375 | DB00390:Digoxin 1376 | DB00215:Citalopram 1377 | DB01309:Insulin Glulisine 1378 | DB00918:Almotriptan 1379 | DB00214:Torasemide 1380 | DB01045:Rifampicin 1381 | DB00404:Alprazolam 1382 | DB00526:Oxaliplatin 1383 | DB09105:Asfotase Alfa 1384 | DB00072:Trastuzumab 1385 | DB00035:Desmopressin 1386 | DB01607:Ticarcillin 1387 | DB01179:Podofilox 1388 | DB00780:Phenelzine 1389 | DB00991:Oxaprozin 1390 | DB00828:Fosfomycin 1391 | DB09046:Metreleptin 1392 | DB01191:Dexfenfluramine 1393 | DB01091:Butenafine 1394 | DB00919:Spectinomycin 1395 | DB01253:Ergonovine 1396 | DB00085:Pancrelipase 1397 | DB00344:Protriptyline 1398 | DB06335:Saxagliptin 1399 | DB00738:Pentamidine 1400 | DB00897:Triazolam 1401 | DB01181:Ifosfamide 1402 | DB00347:Trimethadione 1403 | DB00264:Metoprolol 1404 | DB00499:Flutamide 1405 | DB08867:Ulipristal 1406 | DB01192:Oxymorphone 1407 | DB00933:Mesoridazine 1408 | DB01153:Sertaconazole 1409 | DB01177:Idarubicin 1410 | DB00553:Methoxsalen 1411 | DB09074:Olaparib 1412 | DB01108:Trilostane 1413 | DB00312:Pentobarbital 1414 | DB00401:Nisoldipine 1415 | DB09257:Gimeracil 1416 | DB00496:Darifenacin 1417 | DB00199:Erythromycin 1418 | DB01080:Vigabatrin 1419 | DB01031:Ethinamate 1420 | DB00715:Paroxetine 1421 | DB09325:Sodium fluoride 1422 | DB02546:Vorinostat 1423 | DB09244:Pirlindole 1424 | DB08877:Ruxolitinib 1425 | DB00804:Dicyclomine 1426 | DB02300:Calcipotriol 1427 | DB01017:Minocycline 1428 | DB09052:Blinatumomab 1429 | DB09568:Omega-3-carboxylic acids 1430 | DB00943:Zalcitabine 1431 | DB01602:Bacampicillin 1432 | DB08808:Bupranolol 1433 | DB00279:Liothyronine 1434 | DB05829:Parathyroid hormone 1435 | DB00851:Dacarbazine 1436 | DB08797:Salicylamide 1437 | DB00163:Vitamin E 1438 | DB00307:Bexarotene 1439 | DB00927:Famotidine 1440 | DB01452:Heroin 1441 | DB01211:Clarithromycin 1442 | DB01162:Terazosin 1443 | DB00585:Nizatidine 1444 | DB00809:Tropicamide 1445 | DB01088:Iloprost 1446 | DB08792:Diloxanide 1447 | DB01246:Alimemazine 1448 | DB06366:Pertuzumab 1449 | DB01087:Primaquine 1450 | DB00246:Ziprasidone 1451 | DB00019:Pegfilgrastim 1452 | DB11608:Eftrenonacog alfa 1453 | DB00462:Methylscopolamine bromide 1454 | DB00260:Cycloserine 1455 | DB09162:Ferric Citrate 1456 | DB00930:Colesevelam 1457 | DB09051:Elosulfase alfa 1458 | DB08976:Floctafenine 1459 | DB01263:Posaconazole 1460 | DB00200:Hydroxocobalamin 1461 | DB01409:Tiotropium 1462 | DB00976:Telithromycin 1463 | DB06594:Agomelatine 1464 | DB00607:Nafcillin 1465 | DB00548:Azelaic Acid 1466 | DB01365:Mephentermine 1467 | DB01382:Glycodiazine 1468 | DB01421:Paromomycin 1469 | DB01271:Idursulfase 1470 | DB00285:Venlafaxine 1471 | DB05266:Ibudilast 1472 | DB00662:Trimethobenzamide 1473 | DB00790:Perindopril 1474 | DB01098:Rosuvastatin 1475 | DB01252:Mitiglinide 1476 | DB00686:Pentosan Polysulfate 1477 | DB06282:Levocetirizine 1478 | DB01256:Retapamulin 1479 | DB00400:Griseofulvin 1480 | DB00140:Riboflavin 1481 | DB00628:Clorazepate 1482 | DB00834:Mifepristone 1483 | DB00747:Scopolamine 1484 | DB00982:Isotretinoin 1485 | DB00637:Astemizole 1486 | DB00388:Phenylephrine 1487 | DB00356:Chlorzoxazone 1488 | DB00751:Epinastine 1489 | DB00917:Dinoprostone 1490 | DB00257:Clotrimazole 1491 | DB01168:Procarbazine 1492 | DB01626:Pargyline 1493 | DB00959:Methylprednisolone 1494 | DB00115:Cyanocobalamin 1495 | DB01019:Bethanechol 1496 | DB01049:Ergoloid mesylate 1497 | DB01066:Cefditoren 1498 | DB01067:Glipizide 1499 | DB00781:Polymyxin B Sulfate 1500 | DB00996:Gabapentin 1501 | DB09065:Cobicistat 1502 | DB08806:Roxatidine acetate 1503 | DB01656:Roflumilast 1504 | DB00284:Acarbose 1505 | DB00864:Tacrolimus 1506 | DB06767:Ammonium chloride 1507 | DB04931:Afamelanotide 1508 | DB06273:Tocilizumab 1509 | DB09080:Olodaterol 1510 | DB09167:Dosulepin 1511 | DB03793:Benzoic Acid 1512 | DB00618:Demeclocycline 1513 | DB00945:Acetylsalicylic acid 1514 | DB01265:Telbivudine 1515 | DB01285:Corticotropin 1516 | DB09297:Paritaprevir 1517 | DB08893:Mirabegron 1518 | DB00445:Epirubicin 1519 | DB04574:Estrone sulfate 1520 | -------------------------------------------------------------------------------- /dataset/protein_dict: -------------------------------------------------------------------------------- 1 | 4513:COX2 2 | 247:ALOX15B 3 | 4151:MB 4 | 6462:SHBG 5 | 5585:PKN1 6 | 3782:KCNN3 7 | 5467:PPARD 8 | 5591:PRKDC 9 | 6335:SCN9A 10 | 146802:SLC47A2 11 | 56923:NMUR2 12 | 771:CA12 13 | 4661:MYT1 14 | 2717:GLA 15 | 135:ADORA2A 16 | 5695:PSMB7 17 | 2916:GRM6 18 | 1215:CMA1 19 | 6725:SRMS 20 | 6505:SLC1A1 21 | 6303:SAT1 22 | 6564:SLC15A1 23 | 1230:CCR1 24 | 10287:RGS19 25 | 203068:TUBB 26 | 10327:AKR1A1 27 | 5144:PDE4D 28 | 9153:SLC28A2 29 | 8445:DYRK2 30 | 9212:AURKB 31 | 6098:ROS1 32 | 9261:MAPKAPK2 33 | 5588:PRKCQ 34 | 5604:MAP2K1 35 | 5742:PTGS1 36 | 2742:GLRA2 37 | 2166:FAAH 38 | 4544:MTNR1B 39 | 9429:ABCG2 40 | 3073:HEXA 41 | 7276:TTR 42 | 3055:HCK 43 | 6524:SLC5A2 44 | 3815:KIT 45 | 23192:ATG4B 46 | 1812:DRD1 47 | 10280:SIGMAR1 48 | 4170:MCL1 49 | 8408:ULK1 50 | 1723:DHODH 51 | 1234:CCR5 52 | 84446:BRSK1 53 | 6529:SLC6A1 54 | 2580:GAK 55 | 2049:EPHB3 56 | 27347:STK39 57 | 122042:RXFP2 58 | 4129:MAOB 59 | 3358:HTR2C 60 | 341676:NEK5 61 | 2078:ERG 62 | 2350:FOLR2 63 | 7068:THRB 64 | 2324:FLT4 65 | 5593:PRKG2 66 | 202374:STK32A 67 | 2185:PTK2B 68 | 5141:PDE4A 69 | 6789:STK4 70 | 10682:EBP 71 | 6565:SLC15A2 72 | 2862:MLNR 73 | 818:CAMK2G 74 | 83933:HDAC10 75 | 10733:PLK4 76 | 29994:BAZ2B 77 | 5753:PTK6 78 | 6258:RXRG 79 | 5152:PDE9A 80 | 6554:SLC10A1 81 | 11343:MGLL 82 | 3480:IGF1R 83 | 1147:CHUK 84 | 27:ABL2 85 | 776:CACNA1D 86 | 4214:MAP3K1 87 | 2224:FDPS 88 | 6097:RORC 89 | 246:ALOX15 90 | 92:ACVR2A 91 | 1909:EDNRA 92 | 1269:CNR2 93 | 7468:WHSC1 94 | 240:ALOX5 95 | 150094:SIK1 96 | 1759:DNM1 97 | 5143:PDE4C 98 | 147746:HIPK4 99 | 122011:CSNK1A1L 100 | 1491:CTH 101 | 151306:GPBAR1 102 | 1815:DRD4 103 | 4145:MATK 104 | 7532:YWHAG 105 | 6573:SLC19A1 106 | 9891:NUAK1 107 | 415116:PIM3 108 | 2932:GSK3B 109 | 84650:EBPL 110 | 8841:HDAC3 111 | 1128:CHRM1 112 | 10769:PLK2 113 | 4916:NTRK3 114 | 8714:ABCC3 115 | 5338:PLD2 116 | 4988:OPRM1 117 | 4915:NTRK2 118 | 225689:MAPK15 119 | 3362:HTR6 120 | 9344:TAOK2 121 | 23476:BRD4 122 | 7298:TYMS 123 | 641:BLM 124 | 5340:PLG 125 | 5142:PDE4B 126 | 5729:PTGDR 127 | 5602:MAPK10 128 | 6523:SLC5A1 129 | 9682:KDM4A 130 | 353189:SLCO4C1 131 | 2159:F10 132 | 80122:MAP3K19 133 | 26:AOC1 134 | 57105:CYSLTR2 135 | 23604:DAPK2 136 | 2147:F2 137 | 5058:PAK1 138 | 4751:NEK2 139 | 1022:CDK7 140 | 5346:PLIN1 141 | 4547:MTTP 142 | 5465:PPARA 143 | 9128:PRPF4 144 | 4353:MPO 145 | 599:BCL2L2 146 | 1024:CDK8 147 | 3269:HRH1 148 | 5613:PRKX 149 | 5696:PSMB8 150 | 1080:CFTR 151 | 2047:EPHB1 152 | 204851:HIPK1 153 | 2237:FEN1 154 | 387129:NPSR1 155 | 5608:MAP2K6 156 | 4985:OPRD1 157 | 5600:MAPK11 158 | 2030:SLC29A1 159 | 6331:SCN5A 160 | 3615:IMPDH2 161 | 768:CA9 162 | 65975:STK33 163 | 2648:KAT2A 164 | 2913:GRM3 165 | 4128:MAOA 166 | 3654:IRAK1 167 | 7226:TRPM2 168 | 10000:AKT3 169 | 660:BMX 170 | 43:ACHE 171 | 5147:PDE6D 172 | 2915:GRM5 173 | 6000:RGS7 174 | 9263:STK17A 175 | 113235:SLC46A1 176 | 156:ADRBK1 177 | 11251:PTGDR2 178 | 5029:P2RY2 179 | 9215:LARGE 180 | 64805:P2RY12 181 | 7334:UBE2N 182 | 558:AXL 183 | 5597:MAPK6 184 | 993:CDC25A 185 | 2065:ERBB3 186 | 8824:CES2 187 | 5151:PDE8A 188 | 8394:PIP5K1A 189 | 3725:JUN 190 | 27102:EIF2AK1 191 | 4296:MAP3K11 192 | 123228:SENP8 193 | 51265:CDKL3 194 | 2859:GPR35 195 | 276:AMY1A 196 | 80201:HKDC1 197 | 367:AR 198 | 2050:EPHB4 199 | 5260:PHKG1 200 | 317:APAF1 201 | 5603:MAPK13 202 | 91807:MYLK3 203 | 389840:MAP3K15 204 | 147:ADRA1B 205 | 6790:AURKA 206 | 9748:SLK 207 | 2268:FGR 208 | 2869:GRK5 209 | 7301:TYRO3 210 | 8843:HCAR3 211 | 59340:HRH4 212 | 3417:IDH1 213 | 5138:PDE2A 214 | 5689:PSMB1 215 | 57704:GBA2 216 | 6787:NEK4 217 | 338442:HCAR2 218 | 2569:GABRR1 219 | 7444:VRK2 220 | 6096:RORB 221 | 7075:TIE1 222 | 8444:DYRK3 223 | 3735:KARS 224 | 5319:PLA2G1B 225 | 774:CACNA1B 226 | 54861:SNRK 227 | 5743:PTGS2 228 | 3985:LIMK2 229 | 3785:KCNQ2 230 | 5894:RAF1 231 | 1198:CLK3 232 | 3363:HTR7 233 | 29881:NPC1L1 234 | 6527:SLC5A4 235 | 4137:MAPT 236 | 5578:PRKCA 237 | 7010:TEK 238 | 41:ASIC1 239 | 3791:KDR 240 | 8737:RIPK1 241 | 7173:TPO 242 | 54878:DPP8 243 | 3702:ITK 244 | 5916:RARG 245 | 11113:CIT 246 | 10021:HCN4 247 | 4986:OPRK1 248 | 120892:LRRK2 249 | 10599:SLCO1B1 250 | 2044:EPHA5 251 | 8912:CACNA1H 252 | 57396:CLK4 253 | 747:DAGLA 254 | 6004:RGS16 255 | 377677:CA13 256 | 1020:CDK5 257 | 3360:HTR4 258 | 1991:ELANE 259 | 7066:THPO 260 | 56479:KCNQ5 261 | 23410:SIRT3 262 | 2840:GPR17 263 | 2778:GNAS 264 | 1990:CELA1 265 | 9475:ROCK2 266 | 150:ADRA2A 267 | 729230:CCR2 268 | 5690:PSMB2 269 | 5136:PDE1A 270 | 11329:STK38 271 | 140901:STK35 272 | 5914:RARA 273 | 1188:CLCNKB 274 | 166614:DCLK2 275 | 5587:PRKD1 276 | 657:BMPR1A 277 | 3676:ITGA4 278 | 25778:DSTYK 279 | 5579:PRKCB 280 | 208:AKT2 281 | 58190:CTDSP1 282 | 6532:SLC6A4 283 | 22848:AAK1 284 | 4295:MLN 285 | 23028:KDM1A 286 | 2892:GRIA3 287 | 1432:MAPK14 288 | 2938:GSTA1 289 | 3156:HMGCR 290 | 1195:CLK1 291 | 4293:MAP3K9 292 | 2900:GRIK4 293 | 1387:CREBBP 294 | 5737:PTGFR 295 | 1514:CTSL1 296 | 134864:TAAR1 297 | 2582:GALE 298 | 7048:TGFBR2 299 | 23683:PRKD3 300 | 998:CDC42 301 | 57118:CAMK1D 302 | 8476:CDC42BPA 303 | 4313:MMP2 304 | 6531:SLC6A3 305 | 54101:RIPK4 306 | 8491:MAP4K3 307 | 55781:RIOK2 308 | 51086:TNNI3K 309 | 5025:P2RX4 310 | 8788:DLK1 311 | 10919:EHMT2 312 | 11184:MAP4K1 313 | 3716:JAK1 314 | 53944:CSNK1G1 315 | 93:ACVR2B 316 | 4350:MPG 317 | 3074:HEXB 318 | 2516:NR5A1 319 | 3361:HTR5A 320 | 8986:RPS6KA4 321 | 4058:LTK 322 | 200959:GABRR3 323 | 7786:MAP3K12 324 | 2321:FLT1 325 | 10988:METAP2 326 | 23396:PIP5K1C 327 | 6778:STAT6 328 | 567:B2M 329 | 5335:PLCG1 330 | 6715:SRD5A1 331 | 640:BLK 332 | 27330:RPS6KA6 333 | 91754:NEK9 334 | 5290:PIK3CA 335 | 6256:RXRA 336 | 5562:PRKAA1 337 | 117144:CATSPER1 338 | 840:CASP7 339 | 154807:VKORC1L1 340 | 5129:CDK18 341 | 4306:NR3C2 342 | 2897:GRIK1 343 | 55561:CDC42BPG 344 | 2548:GAA 345 | 54106:TLR9 346 | 5291:PIK3CB 347 | 5609:MAP2K7 348 | 9290:GPR55 349 | 5127:CDK16 350 | 494551:WEE2 351 | 213:ALB 352 | 8569:MKNK1 353 | 1233:CCR4 354 | 2011:MARK2 355 | 5024:P2RX3 356 | 7124:TNF 357 | 1111:CHEK1 358 | 1513:CTSK 359 | 10951:CBX1 360 | 23621:BACE1 361 | 1595:CYP51A1 362 | 5347:PLK1 363 | 155:ADRB3 364 | 239:ALOX12 365 | 7941:PLA2G7 366 | 25865:PRKD2 367 | 186:AGTR2 368 | 151:ADRA2B 369 | 9376:SLC22A8 370 | 1786:DNMT1 371 | 3351:HTR1B 372 | 23678:SGK3 373 | 23012:STK38L 374 | 114548:NLRP3 375 | 3274:HRH2 376 | 5053:PAH 377 | 873:CBR1 378 | 85397:RGS8 379 | 190:NR0B1 380 | 2042:EPHA3 381 | 216:ALDH1A1 382 | 57172:CAMK1G 383 | 5732:PTGER2 384 | 7525:YES1 385 | 2203:FBP1 386 | 10057:ABCC5 387 | 65061:CDK15 388 | 658:BMPR1B 389 | 85366:MYLK2 390 | 11200:CHEK2 391 | 55869:HDAC8 392 | 5970:RELA 393 | 23097:CDK19 394 | 4987:OPRL1 395 | 815:CAMK2A 396 | 2914:GRM4 397 | 5288:PIK3C2G 398 | 316:AOX1 399 | 1511:CTSG 400 | 9311:ASIC3 401 | 8911:CACNA1I 402 | 154:ADRB2 403 | 688:KLF5 404 | 27306:HPGDS 405 | 3357:HTR2B 406 | 6241:RRM2 407 | 3643:INSR 408 | 4282:MIF 409 | 1610:DAO 410 | 2904:GRIN2B 411 | 7297:TYK2 412 | 369:ARAF 413 | 2170:FABP3 414 | 6011:GRK1 415 | 5595:MAPK3 416 | 8647:ABCB11 417 | 55244:SLC47A1 418 | 2043:EPHA4 419 | 6581:SLC22A3 420 | 81788:NUAK2 421 | 4294:MAP3K10 422 | 91:ACVR1B 423 | 5915:RARB 424 | 7150:TOP1 425 | 6733:SRPK2 426 | 7415:VCP 427 | 7329:UBE2I 428 | 6197:RPS6KA3 429 | 13:AADAC 430 | 9113:LATS1 431 | 1515:CTSL2 432 | 8573:CASK 433 | 1803:DPP4 434 | 57551:TAOK1 435 | 762:CA4 436 | 2066:ERBB4 437 | 10825:NEU3 438 | 7341:SUMO1 439 | 10800:CYSLTR1 440 | 136:ADORA2B 441 | 8698:S1PR4 442 | 6240:RRM1 443 | 775:CACNA1C 444 | 2562:GABRB3 445 | 8913:CACNA1G 446 | 9943:OXSR1 447 | 79001:VKORC1 448 | 50488:MINK1 449 | 8001:GLRA3 450 | 11168:PSIP1 451 | 219931:TPCN2 452 | 984:CDK11B 453 | 5150:PDE7A 454 | 4543:MTNR1A 455 | 780:DDR1 456 | 90:ACVR1 457 | 153:ADRB1 458 | 200315:APOBEC3A 459 | 7016:TESK1 460 | 55589:BMP2K 461 | 6916:TBXAS1 462 | 221955:DAGLB 463 | 53904:MYO3A 464 | 152:ADRA2C 465 | 9641:IKBKE 466 | 196:AHR 467 | 2100:ESR2 468 | 1457:CSNK2A1 469 | 2539:G6PD 470 | 10013:HDAC6 471 | 1436:CSF1R 472 | 1137:CHRNA4 473 | 146:ADRA1D 474 | 5733:PTGER3 475 | 6555:SLC10A2 476 | 22983:MAST1 477 | 6915:TBXA2R 478 | 4843:NOS2 479 | 2242:FES 480 | 765:CA6 481 | 2046:EPHA8 482 | 8899:PRPF4B 483 | 7920:ABHD16A 484 | 1520:CTSS 485 | 9734:HDAC9 486 | 6257:RXRB 487 | 4886:NPY1R 488 | 2168:FABP1 489 | 6275:S100A4 490 | 6793:STK10 491 | 761:CA3 492 | 26090:ABHD12 493 | 5747:PTK2 494 | 8576:STK16 495 | 3248:HPGD 496 | 7253:TSHR 497 | 1019:CDK4 498 | 5300:PIN1 499 | 5261:PHKG2 500 | 1510:CTSE 501 | 6469:SHH 502 | 3786:KCNQ3 503 | 2741:GLRA1 504 | 3355:HTR1F 505 | 3551:IKBKB 506 | 2356:FPGS 507 | 760:CA2 508 | 2260:FGFR1 509 | 2264:FGFR4 510 | 7201:TRHR 511 | 846:CASR 512 | 94:ACVRL1 513 | 57582:KCNT1 514 | 3376:IARS 515 | 6869:TACR1 516 | 6196:RPS6KA2 517 | 200316:APOBEC3F 518 | 10846:PDE10A 519 | 3984:LIMK1 520 | 5693:PSMB5 521 | 351:APP 522 | 6571:SLC18A2 523 | 6774:STAT3 524 | 84254:CAMKK1 525 | 2357:FPR1 526 | 5606:MAP2K3 527 | 10110:SGK2 528 | 51701:NLK 529 | 1445:CSK 530 | 4067:LYN 531 | 2638:GC 532 | 1459:CSNK2A2 533 | 2558:GABRA5 534 | 1508:CTSB 535 | 3932:LCK 536 | 5328:PLAU 537 | 3293:HSD17B3 538 | 6850:SYK 539 | 26013:L3MBTL1 540 | 5601:MAPK9 541 | 5028:P2RY1 542 | 4139:MARK1 543 | 51053:GMNN 544 | 5292:PIM1 545 | 4593:MUSK 546 | 5218:CDK14 547 | 5054:SERPINE1 548 | 4759:NEU2 549 | 1646:AKR1C2 550 | 8989:TRPA1 551 | 1263:PLK3 552 | 187:APLNR 553 | 8639:AOC3 554 | 4519:CYTB 555 | 238:ALK 556 | 2918:GRM8 557 | 6195:RPS6KA1 558 | 26524:LATS2 559 | 440275:EIF2AK4 560 | 25:ABL1 561 | 7006:TEC 562 | 5140:PDE3B 563 | 814:CAMK4 564 | 5607:MAP2K5 565 | 80351:TNKS2 566 | 255239:ANKK1 567 | 2041:EPHA1 568 | 2629:GBA 569 | 23173:METAP1 570 | 55867:SLC22A11 571 | 79915:ATAD5 572 | 9874:TLK1 573 | 6329:SCN4A 574 | 5582:PRKCG 575 | 2534:FYN 576 | 8529:CYP4F2 577 | 4752:NEK3 578 | 3741:KCNA5 579 | 7251:TSG101 580 | 5139:PDE3A 581 | 6716:SRD5A2 582 | 22933:SIRT2 583 | 27148:STK36 584 | 6337:SCNN1A 585 | 51135:IRAK4 586 | 10746:MAP3K2 587 | 836:CASP3 588 | 57787:MARK4 589 | 672:BRCA1 590 | 162466:PHOSPHO1 591 | 353174:ZACN 592 | 1312:COMT 593 | 2554:GABRA1 594 | 2348:FOLR1 595 | 3577:CXCR1 596 | 23043:TNIK 597 | 11213:IRAK3 598 | 801:CALM1 599 | 1612:DAPK1 600 | 5322:PLA2G5 601 | 132:ADK 602 | 28996:HIPK2 603 | 6606:SMN1 604 | 4318:MMP9 605 | 6300:MAPK12 606 | 2149:F2R 607 | 887:CCKBR 608 | 11040:PIM2 609 | 8428:STK24 610 | 10188:TNK2 611 | 763:CA5A 612 | 4216:MAP3K4 613 | 57657:HCN3 614 | 4297:KMT2A 615 | 56924:PAK6 616 | 4048:LTA4H 617 | 11238:CA5B 618 | 328:APEX1 619 | 1845:DUSP3 620 | 6865:TACR2 621 | 6332:SCN7A 622 | 2950:GSTP1 623 | 1131:CHRM3 624 | 7398:USP1 625 | 3292:HSD17B1 626 | 6732:SRPK1 627 | 2557:GABRA4 628 | 23617:TSSK2 629 | 5596:MAPK4 630 | 11255:HRH3 631 | 30811:HUNK 632 | 779:CACNA1S 633 | 5598:MAPK7 634 | 7849:PAX8 635 | 1145:CHRNE 636 | 3738:KCNA3 637 | 2905:GRIN2C 638 | 1453:CSNK1D 639 | 5563:PRKAA2 640 | 6580:SLC22A1 641 | 5294:PIK3CG 642 | 4780:NFE2L2 643 | 6347:CCL2 644 | 5581:PRKCE 645 | 1636:ACE 646 | 6833:ABCC8 647 | 2902:GRIN1 648 | 5159:PDGFRB 649 | 8484:GALR3 650 | 9024:BRSK2 651 | 3783:KCNN4 652 | 2908:NR3C1 653 | 6530:SLC6A2 654 | 590:BCHE 655 | 231:AKR1B1 656 | 6768:ST14 657 | 7498:XDH 658 | 673:BRAF 659 | 1903:S1PR3 660 | 6416:MAP2K4 661 | 10461:MERTK 662 | 5778:PTPN7 663 | 3620:IDO1 664 | 4161:MC5R 665 | 1135:CHRNA2 666 | 3064:HTT 667 | 83942:TSSK1B 668 | 7421:VDR 669 | 5580:PRKCD 670 | 373156:GSTK1 671 | 11188:NISCH 672 | 9099:USP2 673 | 5032:P2RY11 674 | 3359:HTR3A 675 | 85443:DCLK3 676 | 6538:SLC6A11 677 | 2261:FGFR3 678 | 2559:GABRA6 679 | 6817:SULT1A1 680 | 9448:MAP4K4 681 | 9578:CDC42BPB 682 | 7052:TGM2 683 | 3249:HPN 684 | 51426:POLK 685 | 1910:EDNRB 686 | 9611:NCOR1 687 | 2241:FER 688 | 2169:FABP2 689 | 2868:GRK4 690 | 2841:GPR18 691 | 1244:ABCC2 692 | 26191:PTPN22 693 | 6198:RPS6KB1 694 | 1773:DNASE1 695 | 4887:NPY2R 696 | 5153:PDE1B 697 | 8396:PIP4K2B 698 | 5222:PGA5 699 | 2053:EPHX2 700 | 3172:HNF4A 701 | 64078:SLC28A3 702 | 3939:LDHA 703 | 4015:LOX 704 | 5599:MAPK8 705 | 4638:MYLK 706 | 7153:TOP2A 707 | 3416:IDE 708 | 7442:TRPV1 709 | 1025:CDK9 710 | 866:SERPINA6 711 | 2893:GRIA4 712 | 388228:SBK1 713 | 79885:HDAC11 714 | 1613:DAPK3 715 | 10298:PAK4 716 | 1132:CHRM4 717 | 2744:GLS 718 | 2081:ERN1 719 | 2064:ERBB2 720 | 50940:PDE11A 721 | 51776:ZAK 722 | 59350:RXFP1 723 | 9132:KCNQ4 724 | 817:CAMK2D 725 | 7067:THRA 726 | 285220:EPHA6 727 | 1760:DMPK 728 | 3065:HDAC1 729 | 6476:SI 730 | 2671:GFER 731 | 2101:ESRRA 732 | 5770:PTPN1 733 | 2263:FGFR2 734 | 2752:GLUL 735 | 759:CA1 736 | 5423:POLB 737 | 5950:RBP4 738 | 1814:DRD3 739 | 7046:TGFBR1 740 | 3776:KCNK2 741 | 2872:MKNK2 742 | 1136:CHRNA3 743 | 5156:PDGFRA 744 | 4914:NTRK1 745 | 1196:CLK2 746 | 1969:EPHA2 747 | 476:ATP1A1 748 | 9453:GGPS1 749 | 6822:SULT2A1 750 | 9759:HDAC4 751 | 6885:MAP3K7 752 | 8722:CTSF 753 | 5724:PTAFR 754 | 3043:HBB 755 | 781:CACNA2D1 756 | 6794:STK11 757 | 5429:POLH 758 | 4154:MBNL1 759 | 1816:DRD5 760 | 1134:CHRNA1 761 | 3066:HDAC2 762 | 553:AVPR1B 763 | 9201:DCLK1 764 | 9149:DYRK1B 765 | 4921:DDR2 766 | 5298:PI4KB 767 | 23632:CA14 768 | 11011:TLK2 769 | 8856:NR1I2 770 | 1187:CLCNKA 771 | 6714:SRC 772 | 5871:MAP4K2 773 | 1728:NQO1 774 | 659:BMPR2 775 | 10257:ABCC4 776 | 60489:APOBEC3G 777 | 983:CDK1 778 | 6578:SLCO2A1 779 | 834:CASP1 780 | 6326:SCN2A 781 | 3028:HSD17B10 782 | 6622:SNCA 783 | 1645:AKR1C1 784 | 7294:TXK 785 | 1813:DRD2 786 | 3091:HIF1A 787 | 7852:CXCR4 788 | 2104:ESRRG 789 | 1455:CSNK1G2 790 | 4215:MAP3K3 791 | 4140:MARK3 792 | 10014:HDAC5 793 | 5644:PRSS1 794 | 5979:RET 795 | 3780:KCNN1 796 | 2890:GRIA1 797 | 5965:RECQL 798 | 6713:SQLE 799 | 2222:FDFT1 800 | 5731:PTGER1 801 | 343450:KCNT2 802 | 348980:HCN1 803 | 994:CDC25B 804 | 2103:ESRRB 805 | 4312:MMP1 806 | 5476:CTSA 807 | 778:CACNA1F 808 | 7083:TK1 809 | 5594:MAPK1 810 | 9706:ULK2 811 | 9356:SLC22A6 812 | 3356:HTR2A 813 | 1901:S1PR1 814 | 2099:ESR1 815 | 2618:GART 816 | 2891:GRIA2 817 | 6311:ATXN2 818 | 839:CASP6 819 | 2931:GSK3A 820 | 57468:SLC12A5 821 | 83732:RIOK1 822 | 5739:PTGIR 823 | 57406:ABHD6 824 | 1241:LTB4R 825 | 100:ADA 826 | 1456:CSNK1G3 827 | 5034:P4HB 828 | 2051:EPHB6 829 | 3569:IL6 830 | 4352:MPL 831 | 3718:JAK3 832 | 51347:TAOK3 833 | 4233:MET 834 | 8767:RIPK2 835 | 5999:RGS4 836 | 5893:RAD52 837 | 60482:SLC5A7 838 | 412:STS 839 | 5293:PIK3CD 840 | 5287:PIK3C2B 841 | 816:CAMK2B 842 | 6570:SLC18A1 843 | 5062:PAK2 844 | 51284:TLR7 845 | 4286:MITF 846 | 2444:FRK 847 | 27115:PDE7B 848 | 2898:GRIK2 849 | 7157:TP53 850 | 5972:REN 851 | 9252:RPS6KA5 852 | 11309:SLCO2B1 853 | 79837:PIP4K2C 854 | 7015:TERT 855 | 5406:PNLIP 856 | 624:BDKRB2 857 | 440503:PLIN5 858 | 728642:CDK11A 859 | 390245:KDM4E 860 | 2911:GRM1 861 | 4846:NOS3 862 | 2901:GRIK5 863 | 7486:WRN 864 | 695:BTK 865 | 1021:CDK6 866 | 1956:EGFR 867 | 7465:WEE1 868 | 1454:CSNK1E 869 | 10114:HIPK3 870 | 5786:PTPRA 871 | 5063:PAK3 872 | 11069:RAPGEF4 873 | 5146:PDE6C 874 | 115584:SLC5A11 875 | 6285:S100B 876 | 2550:GABBR1 877 | 2936:GSR 878 | 3614:IMPDH1 879 | 134:ADORA1 880 | 526:ATP6V1B2 881 | 5621:PRNP 882 | 4160:MC4R 883 | 55775:TDP1 884 | 6582:SLC22A2 885 | 2899:GRIK3 886 | 54737:MPHOSPH8 887 | 29110:TBK1 888 | 3576:IL8 889 | 9154:SLC28A1 890 | 5605:MAP2K2 891 | 53637:S1PR5 892 | 28234:SLCO1B3 893 | 148:ADRA1A 894 | 4088:SMAD3 895 | 131890:GRK7 896 | 6795:AURKC 897 | 23387:SIK3 898 | 8202:NCOA3 899 | 4835:NQO2 900 | 3717:JAK2 901 | 1018:CDK3 902 | 2139:EYA2 903 | 140469:MYO3B 904 | 7535:ZAP70 905 | 25989:ULK3 906 | 1129:CHRM2 907 | 2171:FABP5 908 | 2194:FASN 909 | 5170:PDPK1 910 | 5781:PTPN11 911 | 9175:MAP3K13 912 | 552:AVPR1A 913 | 4923:NTSR1 914 | 4864:NPC1 915 | 5468:PPARG 916 | 2120:ETV6 917 | 9833:MELK 918 | 6868:ADAM17 919 | 5586:PKN2 920 | 9262:STK17B 921 | 140:ADORA3 922 | 9367:RAB9A 923 | 22858:ICK 924 | 8648:NCOA1 925 | 2831:NPBWR1 926 | 3290:HSD11B1 927 | 5610:EIF2AK2 928 | 5128:CDK17 929 | 842:CASP9 930 | 9971:NR1H4 931 | 8972:MGAM 932 | 1504:CTRB1 933 | 2556:GABRA3 934 | 3354:HTR1E 935 | 10645:CAMKK2 936 | 3350:HTR1A 937 | 51564:HDAC7 938 | 2045:EPHA7 939 | 2167:FABP4 940 | 7357:UGCG 941 | 5243:ABCB1 942 | 1717:DHCR7 943 | 5734:PTGER4 944 | 5444:PON1 945 | 5315:PKM 946 | 5023:P2RX1 947 | 23435:TARDBP 948 | 140609:NEK7 949 | 4486:MST1R 950 | 6870:TACR3 951 | 4842:NOS1 952 | 10055:SAE1 953 | 5241:PGR 954 | 55117:SLC6A15 955 | 1017:CDK2 956 | 58497:PRUNE 957 | 5030:P2RY4 958 | 1268:CNR1 959 | 6613:SUMO2 960 | 5337:PLD1 961 | 766:CA7 962 | 57016:AKR1B10 963 | 185:AGTR1 964 | 5566:PRKACA 965 | 117155:CATSPER2 966 | 7494:XBP1 967 | 554:AVPR2 968 | 3005:H1F0 969 | 3176:HNMT 970 | 6595:SMARCA2 971 | 1452:CSNK1A1 972 | 23235:SIK2 973 | 6093:ROCK1 974 | 3352:HTR1D 975 | 2191:FAP 976 | 11183:MAP4K5 977 | 3242:HPD 978 | 6755:SSTR5 979 | 9159:PCSK7 980 | 2322:FLT3 981 | 4790:NFKB1 982 | 4000:LMNA 983 | 10002:NR2E3 984 | 340156:MYLK4 985 | 2555:GABRA2 986 | 3303:HSPA1A 987 | 8999:CDKL2 988 | 9088:PKMYT1 989 | 378807:CATSPER4 990 | 26576:SRPK3 991 | 29843:SENP1 992 | 8654:PDE5A 993 | 2912:GRM2 994 | 347732:CATSPER3 995 | 8780:RIOK3 996 | 2743:GLRB 997 | 1719:DHFR 998 | 10494:STK25 999 | 1859:DYRK1A 1000 | 5111:PCNA 1001 | 861:RUNX1 1002 | 207:AKT1 1003 | 6788:STK3 1004 | 3320:HSP90AA1 1005 | 4363:ABCC1 1006 | 8438:RAD54L 1007 | 6608:SMO 1008 | 54583:EGLN1 1009 | 178:AGL 1010 | 79858:NEK11 1011 | 8644:AKR1C3 1012 | 2475:MTOR 1013 | 6095:RORA 1014 | 7272:TTK 1015 | 3579:CXCR2 1016 | 91039:DPP9 1017 | 8711:TNK1 1018 | 2048:EPHB2 1019 | 8536:CAMK1 1020 | 11201:POLI 1021 | 3757:KCNH2 1022 | 1139:CHRNA7 1023 | 1133:CHRM5 1024 | 2740:GLP1R 1025 | 3645:INSRR 1026 | -------------------------------------------------------------------------------- /example_params.txt: -------------------------------------------------------------------------------- 1 | org=drug 2 | valid_type=cv 3 | model_type=mda 4 | select_arch=[3] 5 | select_nets=[1,2,3,4,5,6,7,8,10] 6 | ofile_keywords=all_nets 7 | epochs=100 8 | batch_size=64 9 | n_trials=10 10 | K=3 11 | alpha=0.98 12 | noise_factor=0.5 13 | models_path=./test_models/ 14 | results_path=./test_results/ 15 | -------------------------------------------------------------------------------- /getFeatures.py: -------------------------------------------------------------------------------- 1 | from sklearn.model_selection import train_test_split 2 | from sklearn.preprocessing import minmax_scale, scale 3 | from keras.models import Model, load_model 4 | from keras.callbacks import EarlyStopping 5 | from MDA import build_MDA, build_AE, build_MDA2 6 | 7 | import matplotlib as mpl 8 | mpl.use('Agg') 9 | import matplotlib.pyplot as plt 10 | import os.path as Path 11 | import scipy.io as sio 12 | import numpy as np 13 | import pickle 14 | import sys 15 | 16 | 17 | def read_params(fname): 18 | params = {} 19 | fR = open(fname, 'r') 20 | for line in fR: 21 | print (line.strip()) 22 | key, val = line.strip().split('=') 23 | key = str(key.strip()) 24 | val = str(val.strip()) 25 | if key == 'select_arch' or key == 'select_nets': 26 | params[key] = map(int, val.strip('[]').split(',')) 27 | else: 28 | params[key] = str(val) 29 | print ("###############################################################") 30 | print 31 | print 32 | fR.close() 33 | 34 | return params 35 | 36 | 37 | def build_model(X, input_dims, arch, nf=0.5, std=1.0, mtype='mda', epochs=80, batch_size=64): 38 | if mtype == 'mda': 39 | model = build_MDA(input_dims, arch) 40 | # model = build_MDA2(input_dims, arch) 41 | elif mtype == 'ae': 42 | model = build_AE(input_dims[0], arch) 43 | else: 44 | print ("### Wrong model.") 45 | # corrupting the input 46 | noise_factor = nf 47 | if isinstance(X, list): 48 | Xs = train_test_split(*X, test_size=0.2) 49 | X_train = [] 50 | X_test = [] 51 | for jj in range(0, len(Xs), 2): 52 | X_train.append(Xs[jj]) 53 | X_test.append(Xs[jj+1]) 54 | X_train_noisy = list(X_train) 55 | X_test_noisy = list(X_test) 56 | for ii in range(0, len(X_train)): 57 | X_train_noisy[ii] = X_train_noisy[ii] + noise_factor*np.random.normal(loc=0.0, scale=std, size=X_train[ii].shape) 58 | X_test_noisy[ii] = X_test_noisy[ii] + noise_factor*np.random.normal(loc=0.0, scale=std, size=X_test[ii].shape) 59 | X_train_noisy[ii] = np.clip(X_train_noisy[ii], 0, 1) 60 | X_test_noisy[ii] = np.clip(X_test_noisy[ii], 0, 1) 61 | else: 62 | X_train, X_test = train_test_split(X, test_size=0.2) 63 | X_train_noisy = X_train.copy() 64 | X_test_noisy = X_test.copy() 65 | X_train_noisy = X_train_noisy + noise_factor*np.random.normal(loc=0.0, scale=std, size=X_train.shape) 66 | X_test_noisy = X_test_noisy + noise_factor*np.random.normal(loc=0.0, scale=std, size=X_test.shape) 67 | X_train_noisy = np.clip(X_train_noisy, 0, 1) 68 | X_test_noisy = np.clip(X_test_noisy, 0, 1) 69 | # Fitting the model 70 | history = model.fit(X_train_noisy, X_train, epochs=epochs, batch_size=batch_size, shuffle=True, 71 | validation_data=(X_test_noisy, X_test), 72 | callbacks=[EarlyStopping(monitor='val_loss', min_delta=0.0001, patience=5)]) 73 | mid_model = Model(inputs=model.input, outputs=model.get_layer('middle_layer').output) 74 | 75 | return mid_model, history 76 | 77 | 78 | ### Main code starts here 79 | params = read_params(sys.argv[1]) 80 | 81 | 82 | org = params['org'] # {drug} 83 | valid_type = params['valid_type'] # {cv} 84 | model_type = params['model_type'] # {mda or ae} 85 | ofile_keywords = params['ofile_keywords'] # {example: 'final_res'} 86 | 87 | models_path = params['models_path'] # directory with models 88 | results_path = params['results_path'] # directotry with results 89 | select_arch = params['select_arch'] # a number 1-10 (see below) 90 | select_nets = params['select_nets'] # a number 1-10 (see below) 91 | epochs = int(params['epochs']) 92 | batch_size = int(params['batch_size']) 93 | nf = float(params['noise_factor']) # nf > 0 for denoising AE/MDA 94 | n_trials = int(params['n_trials']) # number of cv trials 95 | K = params['K'] # number of propagations 96 | alpha = params['alpha'] # propagation parameter 97 | 98 | 99 | # all possible combinations for architectures 100 | arch = {} 101 | arch['mda'] = {} 102 | arch['mda']['drug'] = {} 103 | arch['mda']['drug'] = {1: [9*100], 104 | 2: [9*1000, 9*100, 9*1000], 105 | 3: [9*1000, 9*500, 9*100, 9*500, 9*1000], 106 | 4: [9*1000, 9*500, 9*200, 9*100, 9*200, 9*500, 9*1000], 107 | 5: [9*1000, 9*800, 9*500, 9*200, 9*100, 9*200, 9*500, 9*800, 9*1000], 108 | } 109 | 110 | arch['ae'] = {} 111 | arch['ae']['drug'] = {} 112 | arch['ae']['drug'] = {1: [1000], 113 | 2: [2000, 1000, 2000], 114 | 3: [2000, 1500, 1000, 1500, 2000], 115 | } 116 | 117 | # load PPMI matrices 118 | Nets = [] 119 | input_dims = [] 120 | for i in select_nets: 121 | print ("### [%d] Loading network..." % (i)) 122 | N = sio.loadmat('./PPMI/' + org + '_net_' + str(i) + '.mat', squeeze_me=True) 123 | Net = N['Net'].todense() 124 | print ("Net %d, NNofile_keywords=%d \n" % (i, np.count_nonzero(Net))) 125 | Nets.append(minmax_scale(Net)) 126 | input_dims.append(Net.shape[1]) 127 | 128 | 129 | # Training MDA/AE 130 | model_names = [] 131 | for a in select_arch: 132 | print ("### [%s] Running for architecture: %s" % (model_type, str(arch[model_type][org][a]))) 133 | model_name = org + '_' + model_type.upper() + '_arch_' + str(a) + '_' + ofile_keywords + '.h5' 134 | if not Path.isfile(models_path + model_name): 135 | mid_model, history = build_model(Nets, input_dims, arch[model_type][org][a], nf, 1.0, model_type, epochs, batch_size) 136 | # save model 137 | mid_model.save(models_path + model_name) 138 | with open(models_path + model_name.split('.')[0] + '_history.pckl', 'wb') as file_pi: 139 | pickle.dump(history.history, file_pi) 140 | 141 | # Export figure: loss vs epochs (history) 142 | plt.figure() 143 | plt.plot(history.history['loss'], '.-') 144 | plt.plot(history.history['val_loss'], '.-') 145 | plt.title('model loss') 146 | plt.ylabel('loss') 147 | plt.xlabel('epoch') 148 | plt.legend(['train', 'validation'], loc='upper left') 149 | plt.savefig(models_path + model_name + '_loss.png', bbox_inches='tight') 150 | model_names.append(model_name) 151 | 152 | 153 | # Saving features 154 | for model_name in model_names: 155 | print ("### Running for: %s" % (model_name)) 156 | if Path.isfile(models_path + model_name): 157 | mid_model = load_model(models_path + model_name) 158 | else: 159 | print ("### Model % s does not exist. Check the 'models_path' directory.\n" % (model_name)) 160 | break 161 | mid_model = load_model(models_path + model_name) 162 | features = mid_model.predict(Nets) 163 | features = minmax_scale(features) 164 | # sio.savemat(models_path + model_name.split('.')[0] + '_features.mat', {'features': features}) 165 | np.savetxt(org + model_type+ 'Features.txt', features, delimiter='\t', fmt='%s',newline='\n') 166 | print ("Done!") 167 | -------------------------------------------------------------------------------- /preprocessing/GetPPMIMatrix.m: -------------------------------------------------------------------------------- 1 | %% Calculate Positive Pointwise Mutual Information Matrix %% 2 | 3 | function PPMI = GetPPMIMatrix(M) 4 | 5 | M = ScaleSimMat(M);%Comment this step if you get every element in the matrix to be zero 6 | 7 | [p, q] = size(M); 8 | assert(p==q, 'M must be a square matrix!'); 9 | 10 | col = sum(M); 11 | row = sum(M,2); 12 | 13 | D = sum(col); 14 | PPMI = log(D * M ./(row*col)); 15 | PPMI(PPMI<0)=0; 16 | IdxNan = isnan(PPMI); 17 | PPMI(IdxNan) = 0; 18 | 19 | end -------------------------------------------------------------------------------- /preprocessing/RandSurf.m: -------------------------------------------------------------------------------- 1 | %% Randomly Surf %% 2 | 3 | function M = RandSurf(A, max_step, alpha) 4 | num_nodes = length(A); 5 | A = ScaleSimMat(A);%Comment this step if you get every element in the matrix to be NaN 6 | 7 | P0 = eye(num_nodes, num_nodes); 8 | P = P0; 9 | M = zeros(num_nodes, num_nodes); 10 | 11 | for i = 1: max_step 12 | P = alpha*P*A + (1-alpha)*P0; 13 | M = M + P; 14 | end 15 | 16 | end -------------------------------------------------------------------------------- /preprocessing/ScaleSimMat.m: -------------------------------------------------------------------------------- 1 | %% Scale Similar Matrix by Row %% 2 | 3 | function W = ScaleSimMat(W) 4 | 5 | %scale 6 | W = W - diag(diag(W)); %diagonal elements must be 0 7 | D = diag(sum(W), 0); %degree matrix 8 | 9 | W = D^(-1)*W; -------------------------------------------------------------------------------- /preprocessing/compute_similarity.m: -------------------------------------------------------------------------------- 1 | %% Compute Jaccard Similarity Coefficient %% 2 | 3 | Nets = {'drugProtein', 'drugsideEffect'}; 4 | %Nets = {'diseaseProtein'}; 5 | 6 | for i = 1 : length(Nets) 7 | tic 8 | inputID = char(strcat('../dataset/drugNets/', Nets(i), '.txt')); 9 | M = load(inputID); 10 | Sim = 1 - pdist(M, 'jaccard'); 11 | Sim = squareform(Sim); 12 | Sim = Sim + eye(size(M,1)); 13 | Sim(isnan(Sim)) = 0; 14 | outputID = char(strcat('../dataset/drugNets/Sim_', Nets(i), '.txt')); 15 | dlmwrite(outputID, Sim, '\t'); 16 | toc 17 | end 18 | -------------------------------------------------------------------------------- /preprocessing/dataprocess.m: -------------------------------------------------------------------------------- 1 | data=load('../dataset/drugNets/drugsimWmnet.txt'); 2 | Kstep = 3; 3 | alpha = 0.98; 4 | 5 | %Step 1. Randomly Surf to Generate K steps Transition Matrix 6 | Mk = RandSurf(data, Kstep, alpha); 7 | 8 | %Step 2. Get PPMI Matrix 9 | PPMI = GetPPMIMatrix(Mk); 10 | 11 | Net=sparse(PPMI); 12 | save('../PPMI/drug_net_x.mat','Net'); --------------------------------------------------------------------------------