├── .gitignore
├── COPYING
├── README.md
├── Singularity.def
├── example_slurm_job.sh
├── requirements.txt
└── run_singularity.py
/.gitignore:
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1 | Dockerfile
2 |
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/COPYING:
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580 | versions of the GNU General Public License can be used, that proxy's
581 | public statement of acceptance of a version permanently authorizes you
582 | to choose that version for the Program.
583 |
584 | Later license versions may give you additional or different
585 | permissions. However, no additional obligations are imposed on any
586 | author or copyright holder as a result of your choosing to follow a
587 | later version.
588 |
589 | 15. Disclaimer of Warranty.
590 |
591 | THERE IS NO WARRANTY FOR THE PROGRAM, TO THE EXTENT PERMITTED BY
592 | APPLICABLE LAW. EXCEPT WHEN OTHERWISE STATED IN WRITING THE COPYRIGHT
593 | HOLDERS AND/OR OTHER PARTIES PROVIDE THE PROGRAM "AS IS" WITHOUT WARRANTY
594 | OF ANY KIND, EITHER EXPRESSED OR IMPLIED, INCLUDING, BUT NOT LIMITED TO,
595 | THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR
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597 | IS WITH YOU. SHOULD THE PROGRAM PROVE DEFECTIVE, YOU ASSUME THE COST OF
598 | ALL NECESSARY SERVICING, REPAIR OR CORRECTION.
599 |
600 | 16. Limitation of Liability.
601 |
602 | IN NO EVENT UNLESS REQUIRED BY APPLICABLE LAW OR AGREED TO IN WRITING
603 | WILL ANY COPYRIGHT HOLDER, OR ANY OTHER PARTY WHO MODIFIES AND/OR CONVEYS
604 | THE PROGRAM AS PERMITTED ABOVE, BE LIABLE TO YOU FOR DAMAGES, INCLUDING ANY
605 | GENERAL, SPECIAL, INCIDENTAL OR CONSEQUENTIAL DAMAGES ARISING OUT OF THE
606 | USE OR INABILITY TO USE THE PROGRAM (INCLUDING BUT NOT LIMITED TO LOSS OF
607 | DATA OR DATA BEING RENDERED INACCURATE OR LOSSES SUSTAINED BY YOU OR THIRD
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609 | EVEN IF SUCH HOLDER OR OTHER PARTY HAS BEEN ADVISED OF THE POSSIBILITY OF
610 | SUCH DAMAGES.
611 |
612 | 17. Interpretation of Sections 15 and 16.
613 |
614 | If the disclaimer of warranty and limitation of liability provided
615 | above cannot be given local legal effect according to their terms,
616 | reviewing courts shall apply local law that most closely approximates
617 | an absolute waiver of all civil liability in connection with the
618 | Program, unless a warranty or assumption of liability accompanies a
619 | copy of the Program in return for a fee.
620 |
621 | END OF TERMS AND CONDITIONS
622 |
623 | How to Apply These Terms to Your New Programs
624 |
625 | If you develop a new program, and you want it to be of the greatest
626 | possible use to the public, the best way to achieve this is to make it
627 | free software which everyone can redistribute and change under these terms.
628 |
629 | To do so, attach the following notices to the program. It is safest
630 | to attach them to the start of each source file to most effectively
631 | state the exclusion of warranty; and each file should have at least
632 | the "copyright" line and a pointer to where the full notice is found.
633 |
634 |
635 | Copyright (C)
636 |
637 | This program is free software: you can redistribute it and/or modify
638 | it under the terms of the GNU General Public License as published by
639 | the Free Software Foundation, either version 3 of the License, or
640 | (at your option) any later version.
641 |
642 | This program is distributed in the hope that it will be useful,
643 | but WITHOUT ANY WARRANTY; without even the implied warranty of
644 | MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
645 | GNU General Public License for more details.
646 |
647 | You should have received a copy of the GNU General Public License
648 | along with this program. If not, see .
649 |
650 | Also add information on how to contact you by electronic and paper mail.
651 |
652 | If the program does terminal interaction, make it output a short
653 | notice like this when it starts in an interactive mode:
654 |
655 | Copyright (C)
656 | This program comes with ABSOLUTELY NO WARRANTY; for details type `show w'.
657 | This is free software, and you are welcome to redistribute it
658 | under certain conditions; type `show c' for details.
659 |
660 | The hypothetical commands `show w' and `show c' should show the appropriate
661 | parts of the General Public License. Of course, your program's commands
662 | might be different; for a GUI interface, you would use an "about box".
663 |
664 | You should also get your employer (if you work as a programmer) or school,
665 | if any, to sign a "copyright disclaimer" for the program, if necessary.
666 | For more information on this, and how to apply and follow the GNU GPL, see
667 | .
668 |
669 | The GNU General Public License does not permit incorporating your program
670 | into proprietary programs. If your program is a subroutine library, you
671 | may consider it more useful to permit linking proprietary applications with
672 | the library. If this is what you want to do, use the GNU Lesser General
673 | Public License instead of this License. But first, please read
674 | .
675 |
--------------------------------------------------------------------------------
/README.md:
--------------------------------------------------------------------------------
1 | # alphafold_singularity
2 |
3 | **NOTICE: THIS CODEBASE IS NOT ACTIVELY MAINTAINTED; NO ISSUES WILL BE ADDRESSED**
4 |
5 | Singularity recipe for [AlphaFold](https://github.com/deepmind/alphafold/), with example Slurm job script.
6 |
7 | This splits off my pull request https://github.com/deepmind/alphafold/pull/166
8 |
9 | Disclaimer: this project is not affiliated with DeepMind.
10 |
11 | ## IMPORTANT - `main` branch not usable directly
12 | The `main` branch here is not directly usable with the `main` branch of AlphaFold. This Singularity recipe
13 | works only with the matching release of AlphaFold. Please use one of the releases here, with a matching
14 | release of AlphaFold (ignoring the bugfix number).
15 |
16 | ### Unfixed bug in Alphafold tagged release 2.2.2
17 | N.B. https://github.com/deepmind/alphafold/issues/510#issuecomment-1159062272
18 |
19 | ## Prebuilt Singularity image
20 | A prebuilt image is hosted on cloud.sylabs.io: [https://cloud.sylabs.io/library/prehensilecode/alphafold_singularity/alphafold](https://cloud.sylabs.io/library/prehensilecode/alphafold_singularity/alphafold)
21 |
22 | ## What This Code Contains
23 | * `Singularity.def` which is the recipe to build the Singularity image. This is a port of the [Dockerfile](https://github.com/deepmind/alphafold/blob/main/docker/Dockerfile) provided by AlphaFold.
24 | * `run_singularity.py` which is a port of the [`run_docker.py`](https://github.com/deepmind/alphafold/blob/main/docker/run_docker.py) script provided by AlphaFold. It is a wrapper to provide a friendly interface for running the container.
25 |
26 | ## Installation Instructions
27 | ### Download AlphaFold and alphafold_singularity:
28 | N.B. The AlphaFold version and the alphafold_singularity versions must match,
29 | except for the bugfix number in alphafold_singularity. E.g. alphafold_singularity 2.3.2-1
30 | goes with AlphaFold 2.3.2
31 |
32 | ```
33 | $ export ALPHAFOLD_VERSION=2.3.2
34 | $ wget https://github.com/deepmind/alphafold/archive/refs/tags/v${ALPHAFOLD_VERSION}.tar.gz -O alphafold-${ALPHAFOLD_VERSION}.tar.gz
35 | ...
36 | 2023-02-08 17:28:50 (1.24 MB/s) - ‘alphafold-x.x.x.tar.gz’ saved [5855095]
37 | $ tar -xvf alphafold-${ALPHAFOLD_VERSION}.tar.gz
38 | $ cd alphafold-${ALPHAFOLD_VERSION}
39 | $ wget https://github.com/prehensilecode/alphafold_singularity/archive/refs/tags/v${ALPHAFOLD_VERSION}.tar.gz -O alphafold_singularity-${ALPHAFOLD_VERSION}.tar.gz
40 | ...
41 | 2023-02-08 17:42:18 (1.58 MB/s) - ‘alphafold_singularity-x.x.x.tar.gz’ saved [10148]
42 | $ tar -xf alphafold_singularity-${ALPHAFOLD_VERSION}.tar.gz
43 | $ mv alphafold_singularity-${ALPHAFOLD_VERSION} singularity
44 | $ python3 -m pip install -r singularity/requirements.txt
45 | $ sudo singularity build alphafold.sif singularity/Singularity.def
46 | ```
47 |
48 | ### Build the Singularity image
49 | First install the Python requirements:
50 | ```
51 | $ python3 -m pip install -r singularity/requirements.txt
52 | ```
53 |
54 | Then, build the Singularity image:
55 | ```
56 | $ sudo singularity build alphafold.sif singularity/Singularity.def
57 | ```
58 |
59 | If your `/tmp` directory is small, you may need to set the [`SINGULARITY_TMPDIR`
60 | environment variable](https://sylabs.io/guides/3.3/user-guide/build_env.html#temporary-folders) to a directory on a filesystem with more free space.
61 | My builds have consumed up to 15 GiB of space. The resulting image file may be up to 10 GiB.
62 |
63 | ### Download genetic databases
64 | See [AlphaFold 2.3.2 README](https://github.com/deepmind/alphafold/tree/v2.3.2)
65 | for instructions on downloading genetic databases. These are necessary
66 | to run AlphaFold.
67 |
68 | This step requires [aria2c](https://aria2.github.io/).
69 |
70 | N.B. The difference between downloading the "reduced databases" as opposed
71 | to the "full databases" is that the reduced databases download "small BFD"
72 | instead of "BFD".
73 |
74 | ### Modify run script, install, and run
75 | To run, modify the `$ALPHAFOLD_SRC/singularity/run_singularity.py` and change the
76 | section marked `USER CONFIGURATION`. At the least, you will need to modify the values
77 | of:
78 | - `singularity_image` - absolute path to the `alphafold.sif` Singularity image
79 |
80 | E.g.
81 | ```
82 | #### USER CONFIGURATION ####
83 | # AlphaFold Singularity image.
84 | singularity_image = Client.load(os.path.join(os.environ['ALPHAFOLD_DIR'], 'alphafold.sif'))
85 | ```
86 |
87 | ## Running on an HPC cluster
88 | Currently, this project only supports Slurm. Please open an issue to request
89 | support for other job schedulers/resource managers.
90 |
91 |
92 | ### Run as a Slurm job on a cluster
93 | See the example job script [`example_slurm_job.sh`](https://github.com/prehensilecode/alphafold_singularity/blob/main/example_slurm_job.sh).
94 | N.B. this example must be modified to suit your specific HPC environment.
95 |
96 | The `run_singularity.py` script will use all GPUs available to the job. If
97 | Slurm has been set up with [`cgroups`](https://en.wikipedia.org/wiki/Cgroups),
98 | the job may request fewer than the total number of GPUs installed on a node.
99 | E.g. if the GPU nodes in the cluster have 4 GPU devices each, the job can
100 | do
101 | ```bash
102 | #SBATCH --gpus=2
103 | ```
104 | and AlphaFold Singularity will use only two of the four GPUs. This is
105 | because the `cgroup` for the job only shows 2 GPUs to the job.
106 |
--------------------------------------------------------------------------------
/Singularity.def:
--------------------------------------------------------------------------------
1 | Bootstrap: docker
2 | From: nvidia/cuda:11.1.1-cudnn8-runtime-ubuntu18.04
3 | Stage: spython-base
4 |
5 | %files
6 | . /app/alphafold
7 | %post
8 | # Copyright 2023 David Chin
9 | #
10 | # This file is part of alphafold_singularity.
11 | #
12 | # alphafold_singularity is free software: you can redistribute it and/or
13 | # modify it under the terms of the GNU General Public License as
14 | # published by the Free Software Foundation, either version 3 of the
15 | # License, or (at your option) any later version.
16 | #
17 | # alphafold_singularity is distributed in the hope that it will be
18 | # useful, but WITHOUT ANY WARRANTY; without even the implied warranty
19 | # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
20 | # General Public License for more details.
21 | #
22 | # You should have received a copy of the GNU General Public License
23 | # along with alphafold_singularity. If not, see .
24 |
25 |
26 | # FROM directive resets ARGS, so we specify again (the value is retained if
27 | # previously set).
28 |
29 | apt-get update \
30 | && DEBIAN_FRONTEND=noninteractive apt-get install --no-install-recommends -y \
31 | build-essential \
32 | cmake \
33 | cuda-command-line-tools-11-1 \
34 | git \
35 | hmmer \
36 | kalign \
37 | tzdata \
38 | wget \
39 | && rm -rf /var/lib/apt/lists/* \
40 | && apt-get autoremove -y \
41 | && apt-get clean
42 |
43 | # Compile HHsuite from source.
44 | /bin/rm -rf /tmp/hh-suite \
45 | && git clone --branch v3.3.0 https://github.com/soedinglab/hh-suite.git /tmp/hh-suite \
46 | && mkdir /tmp/hh-suite/build \
47 | && cd /tmp/hh-suite/build \
48 | && cmake -DCMAKE_INSTALL_PREFIX=/opt/hhsuite .. \
49 | && make -j 4 && make install \
50 | && ln -s /opt/hhsuite/bin/* /usr/bin \
51 | && cd / \
52 | && /bin/rm -rf /tmp/hh-suite
53 |
54 | # Install Miniconda package manager.
55 | wget -q -P /tmp \
56 | https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh \
57 | && bash /tmp/Miniconda3-latest-Linux-x86_64.sh -b -p /opt/conda \
58 | && rm /tmp/Miniconda3-latest-Linux-x86_64.sh
59 |
60 | # Install conda packages.
61 | PATH="/opt/conda/bin:/usr/local/cuda-11.1/bin:$PATH"
62 | conda install -qy conda==23.5.2 \
63 | && conda install -y -c conda-forge \
64 | openmm=7.7.0 \
65 | cudatoolkit==11.1.1 \
66 | pdbfixer \
67 | pip \
68 | python=3.10 \
69 | && conda clean --all --force-pkgs-dirs --yes
70 |
71 | ### /bin/cp -r . /app/alphafold
72 |
73 | wget -q -P /app/alphafold/alphafold/common/ \
74 | https://git.scicore.unibas.ch/schwede/openstructure/-/raw/7102c63615b64735c4941278d92b554ec94415f8/modules/mol/alg/src/stereo_chemical_props.txt
75 |
76 | # Install pip packages.
77 | # N.B. The URL specifies the list of jaxlib releases.
78 | pip3 install --upgrade pip --no-cache-dir \
79 | && pip3 install -r /app/alphafold/requirements.txt --no-cache-dir \
80 | && pip3 install --upgrade --no-cache-dir \
81 | jax==0.3.25 \
82 | jaxlib==0.3.25+cuda11.cudnn805 \
83 | -f https://storage.googleapis.com/jax-releases/jax_cuda_releases.html
84 |
85 | # Add SETUID bit to the ldconfig binary so that non-root users can run it.
86 | chmod u+s /sbin/ldconfig.real
87 |
88 | ### SETUID bit does not matter: Apptainer does not allow suid commands
89 | ### Workaround below is to use /mnt/out/ld.so.cache for the ld cache file
90 |
91 | %environment
92 | export PATH="/opt/conda/bin:/usr/local/cuda-11.1/bin:$PATH"
93 | %runscript
94 | cd /app/alphafold
95 | ldconfig -C /mnt/output/ld.so.cache
96 | exec python /app/alphafold/run_alphafold.py "$@"
97 | # %startscript
98 | # cd /app/alphafold
99 | # exec python /app/alphafold/run_alphafold.py "$@"
100 |
--------------------------------------------------------------------------------
/example_slurm_job.sh:
--------------------------------------------------------------------------------
1 | #!/bin/bash
2 |
3 | # Copyright 2023 David Chin
4 | #
5 | # This file is part of alphafold_singularity.
6 | #
7 | # alphafold_singularity is free software: you can redistribute it and/or
8 | # modify it under the terms of the GNU General Public License as
9 | # published by the Free Software Foundation, either version 3 of the
10 | # License, or (at your option) any later version.
11 | #
12 | # alphafold_singularity is distributed in the hope that it will be
13 | # useful, but WITHOUT ANY WARRANTY; without even the implied warranty
14 | # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
15 | # General Public License for more details.
16 | #
17 | # You should have received a copy of the GNU General Public License
18 | # along with alphafold_singularity. If not, see .
19 |
20 | #SBATCH --partition=gpu
21 | #SBATCH --time=2:00:00
22 | #SBATCH --gpus=4
23 | #SBATCH --cpus-per-gpu=12
24 | #SBATCH --mem-per-gpu=36G
25 |
26 | ### NOTE
27 | ### This job script cannot be used without modification for your specific environment.
28 |
29 | module load python/gcc/3.11
30 | module load alphafold/2.3.2-1
31 |
32 | ### Check values of some environment variables
33 | echo INFO: SLURM_GPUS_ON_NODE=$SLURM_GPUS_ON_NODE
34 | echo INFO: SLURM_JOB_GPUS=$SLURM_JOB_GPUS
35 | echo INFO: SLURM_STEP_GPUS=$SLURM_STEP_GPUS
36 | echo INFO: ALPHAFOLD_DIR=$ALPHAFOLD_DIR
37 | echo INFO: ALPHAFOLD_DATADIR=$ALPHAFOLD_DATADIR
38 | echo INFO: TMP=$TMP
39 |
40 | ###
41 | ### README This runs AlphaFold 2.3.2 on the T1050.fasta file
42 | ###
43 |
44 | # AlphaFold should use all GPU devices available to the job by default.
45 | #
46 | # To run the CASP14 evaluation, use:
47 | # --model_preset=monomer_casp14
48 | # --db_preset=full_dbs (or delete the line; default is "full_dbs")
49 | #
50 | # On a test system with 4x Tesla V100-SXM2, this took about 50 minutes.
51 | #
52 | # To benchmark, running multiple JAX model evaluations (NB this
53 | # significantly increases run time):
54 | # --benchmark
55 | #
56 | # On a test system with 4x Tesla V100-SXM2, this took about 6 hours.
57 |
58 | # Create output directory in $TMP (which is cleaned up by Slurm at end
59 | # of job).
60 | output_dir=$TMP/output
61 | mkdir -p $output_dir
62 |
63 | echo INFO: output_dir=$output_dir
64 |
65 | # Run AlphaFold; default is to use GPUs
66 | python3 ${ALPHAFOLD_DIR}/singularity/run_singularity.py \
67 | --use_gpu \
68 | --output_dir=$output_dir \
69 | --data_dir=${ALPHAFOLD_DATADIR} \
70 | --fasta_paths=T1050.fasta \
71 | --max_template_date=2020-05-14 \
72 | --model_preset=monomer \
73 | --db_preset=reduced_dbs
74 |
75 | echo INFO: AlphaFold returned $?
76 |
77 | ### Copy Alphafold output back to directory where "sbatch" command was issued.
78 | mkdir $SLURM_SUBMIT_DIR/Output-$SLURM_JOB_ID
79 | cp -R $output_dir $SLURM_SUBMIT_DIR/Output-$SLURM_JOB_ID
80 |
81 |
--------------------------------------------------------------------------------
/requirements.txt:
--------------------------------------------------------------------------------
1 | # Copyright 2023 David Chin
2 | #
3 | # This file is part of alphafold_singularity.
4 | #
5 | # alphafold_singularity is free software: you can redistribute it and/or
6 | # modify it under the terms of the GNU General Public License as
7 | # published by the Free Software Foundation, either version 3 of the
8 | # License, or (at your option) any later version.
9 | #
10 | # alphafold_singularity is distributed in the hope that it will be
11 | # useful, but WITHOUT ANY WARRANTY; without even the implied warranty
12 | # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
13 | # General Public License for more details.
14 | #
15 | # You should have received a copy of the GNU General Public License
16 | # along with alphafold_singularity. If not, see .
17 | #
18 | # Dependencies necessary to execute run_singularity.py
19 | # absl-py version to match deepmind/alphafold
20 | absl-py==1.0.0
21 | spython==0.3.0
22 |
--------------------------------------------------------------------------------
/run_singularity.py:
--------------------------------------------------------------------------------
1 | #!/usr/bin/env python3
2 | # Copyright 2023 David Chin
3 | #
4 | # This file is part of alphafold_singularity.
5 | #
6 | # alphafold_singularity is free software: you can redistribute it and/or
7 | # modify it under the terms of the GNU General Public License as
8 | # published by the Free Software Foundation, either version 3 of the
9 | # License, or (at your option) any later version.
10 | #
11 | # alphafold_singularity is distributed in the hope that it will be
12 | # useful, but WITHOUT ANY WARRANTY; without even the implied warranty
13 | # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
14 | # General Public License for more details.
15 | #
16 | # You should have received a copy of the GNU General Public License
17 | # along with alphafold_singularity. If not, see .
18 |
19 | """Singularity launch script for Alphafold Singularity image."""
20 |
21 | import os
22 | import sys
23 | import pathlib
24 | import signal
25 | from typing import Tuple
26 |
27 | from absl import app
28 | from absl import flags
29 | from absl import logging
30 | from spython.main import Client
31 |
32 | import tempfile
33 | import subprocess
34 |
35 |
36 | #### USER CONFIGURATION ####
37 |
38 | # Path to AlphaFold Singularity image. This relies on
39 | # the environment variable ALPHAFOLD_DIR which is the
40 | # directory where AlphaFold is installed.
41 | singularity_image = Client.load(os.path.join(os.environ['ALPHAFOLD_DIR'], 'alphafold.sif'))
42 |
43 | # tmp directory
44 | if 'TMP' in os.environ:
45 | tmp_dir = os.environ['TMP']
46 | elif 'TMPDIR' in os.environ:
47 | tmp_dir = os.environ['TMPDIR']
48 | else:
49 | tmp_dir = '/tmp'
50 |
51 | # Default path to a directory that will store the results.
52 | output_dir_default = tempfile.mkdtemp(dir=tmp_dir, prefix='alphafold')
53 |
54 | logging.info(f'INFO: tmp_dir = {tmp_dir}')
55 | logging.info(f'INFO: output_dir_default = {output_dir_default}')
56 |
57 | #### END USER CONFIGURATION ####
58 |
59 | ### These flags correspond to the flags defined in ../run_alphafold.py
60 | flags.DEFINE_bool(
61 | 'use_gpu', True, 'Enable NVIDIA runtime to run with GPUs.')
62 | flags.DEFINE_enum(
63 | 'models_to_relax', 'best', ['best', 'all', 'none'],
64 | 'The models to run the final relaxation step on. '
65 | 'If `all`, all models are relaxed, which may be time '
66 | 'consuming. If `best`, only the most confident model is '
67 | 'relaxed. If `none`, relaxation is not run. Turning off '
68 | 'relaxation might result in predictions with '
69 | 'distracting stereochemical violations but might help '
70 | 'in case you are having issues with the relaxation '
71 | 'stage.')
72 | flags.DEFINE_bool(
73 | 'enable_gpu_relax', True, 'Run relax on GPU if GPU is enabled.')
74 | flags.DEFINE_string(
75 | 'gpu_devices', 'all',
76 | 'Comma separated list of devices to pass to NVIDIA_VISIBLE_DEVICES.')
77 | flags.DEFINE_list(
78 | 'fasta_paths', None, 'Paths to FASTA files, each containing a prediction '
79 | 'target that will be folded one after another. If a FASTA file contains '
80 | 'multiple sequences, then it will be folded as a multimer. Paths should be '
81 | 'separated by commas. All FASTA paths must have a unique basename as the '
82 | 'basename is used to name the output directories for each prediction.')
83 | flags.DEFINE_string(
84 | 'output_dir', output_dir_default,
85 | 'Path to a directory that will store the results.')
86 | flags.DEFINE_string(
87 | 'data_dir', None,
88 | 'Path to directory with supporting data: AlphaFold parameters and genetic '
89 | 'and template databases. Set to the target of download_all_databases.sh.')
90 | flags.DEFINE_string(
91 | 'docker_image_name', 'alphafold', 'Name of the AlphaFold Docker image.')
92 | flags.DEFINE_string(
93 | 'max_template_date', None,
94 | 'Maximum template release date to consider (ISO-8601 format: YYYY-MM-DD). '
95 | 'Important if folding historical test sets.')
96 | flags.DEFINE_enum(
97 | 'db_preset', 'full_dbs', ['full_dbs', 'reduced_dbs'],
98 | 'Choose preset MSA database configuration - smaller genetic database '
99 | 'config (reduced_dbs) or full genetic database config (full_dbs)')
100 | flags.DEFINE_enum(
101 | 'model_preset', 'monomer',
102 | ['monomer', 'monomer_casp14', 'monomer_ptm', 'multimer'],
103 | 'Choose preset model configuration - the monomer model, the monomer model '
104 | 'with extra ensembling, monomer model with pTM head, or multimer model')
105 | flags.DEFINE_integer('num_multimer_predictions_per_model', 5, 'How many '
106 | 'predictions (each with a different random seed) will be '
107 | 'generated per model. E.g. if this is 2 and there are 5 '
108 | 'models then there will be 10 predictions per input. '
109 | 'Note: this FLAG only applies if model_preset=multimer')
110 | flags.DEFINE_boolean(
111 | 'benchmark', False,
112 | 'Run multiple JAX model evaluations to obtain a timing that excludes the '
113 | 'compilation time, which should be more indicative of the time required '
114 | 'for inferencing many proteins.')
115 | flags.DEFINE_boolean(
116 | 'use_precomputed_msas', False,
117 | 'Whether to read MSAs that have been written to disk instead of running '
118 | 'the MSA tools. The MSA files are looked up in the output directory, so it '
119 | 'must stay the same between multiple runs that are to reuse the MSAs. '
120 | 'WARNING: This will not check if the sequence, database or configuration '
121 | 'have changed.')
122 | flags.DEFINE_string(
123 | 'docker_user', f'{os.geteuid()}:{os.getegid()}',
124 | 'UID:GID with which to run the Docker container. The output directories '
125 | 'will be owned by this user:group. By default, this is the current user. '
126 | 'Valid options are: uid or uid:gid, non-numeric values are not recognised '
127 | 'by Docker unless that user has been created within the container.')
128 |
129 | FLAGS = flags.FLAGS
130 |
131 | _ROOT_MOUNT_DIRECTORY = '/mnt/'
132 |
133 |
134 | def _create_bind(bind_name: str, path: str) -> Tuple[str, str]:
135 | """Create a bind point for each file and directory used by the model."""
136 | path = os.path.abspath(path)
137 | source_path = os.path.dirname(path) if bind_name != 'data_dir' else path
138 | target_path = os.path.join(_ROOT_MOUNT_DIRECTORY, bind_name)
139 |
140 | logging.info('Binding %s -> %s', source_path, target_path)
141 |
142 | # NOTE singularity binds are read-only by default
143 | if bind_name == 'data_dir':
144 | data_path = target_path
145 | else:
146 | data_path = f'{os.path.join(target_path, os.path.basename(path))}'
147 |
148 | return (f'{source_path}:{target_path}', f'{data_path}')
149 |
150 |
151 | def main(argv):
152 | if len(argv) > 1:
153 | raise app.UsageError('Too many command-line arguments.')
154 |
155 | # You can individually override the following paths if you have placed the
156 | # data in locations other than the FLAGS.data_dir.
157 |
158 | # Path to the Uniref90 database for use by JackHMMER.
159 | uniref90_database_path = os.path.join(
160 | FLAGS.data_dir, 'uniref90', 'uniref90.fasta')
161 |
162 | # Path to the Uniprot database for use by JackHMMER.
163 | uniprot_database_path = os.path.join(
164 | FLAGS.data_dir, 'uniprot', 'uniprot.fasta')
165 |
166 | # Path to the MGnify database for use by JackHMMER.
167 | mgnify_database_path = os.path.join(
168 | FLAGS.data_dir, 'mgnify', 'mgy_clusters_2022_05.fa')
169 |
170 | # Path to the BFD database for use by HHblits.
171 | bfd_database_path = os.path.join(
172 | FLAGS.data_dir, 'bfd',
173 | 'bfd_metaclust_clu_complete_id30_c90_final_seq.sorted_opt')
174 |
175 | # Path to the Small BFD database for use by JackHMMER.
176 | small_bfd_database_path = os.path.join(
177 | FLAGS.data_dir, 'small_bfd', 'bfd-first_non_consensus_sequences.fasta')
178 |
179 | # Path to the Uniref30 database for use by HHblits.
180 | uniref30_database_path = os.path.join(
181 | FLAGS.data_dir, 'uniref30', 'UniRef30_2021_03')
182 |
183 | # Path to the PDB70 database for use by HHsearch.
184 | pdb70_database_path = os.path.join(FLAGS.data_dir, 'pdb70', 'pdb70')
185 |
186 | # Path to the PDB seqres database for use by hmmsearch.
187 | pdb_seqres_database_path = os.path.join(
188 | FLAGS.data_dir, 'pdb_seqres', 'pdb_seqres.txt')
189 |
190 | # Path to a directory with template mmCIF structures, each named .cif.
191 | template_mmcif_dir = os.path.join(FLAGS.data_dir, 'pdb_mmcif', 'mmcif_files')
192 |
193 | # Path to a file mapping obsolete PDB IDs to their replacements.
194 | obsolete_pdbs_path = os.path.join(FLAGS.data_dir, 'pdb_mmcif', 'obsolete.dat')
195 |
196 | alphafold_path = pathlib.Path(__file__).parent.parent
197 | data_dir_path = pathlib.Path(FLAGS.data_dir)
198 | if alphafold_path == data_dir_path or alphafold_path in data_dir_path.parents:
199 | raise app.UsageError(
200 | f'The download directory {FLAGS.data_dir} should not be a subdirectory '
201 | f'in the AlphaFold repository directory. If it is, the Singularity build is '
202 | f'slow since the large databases are copied during the image creation.')
203 |
204 | binds = []
205 | command_args = []
206 |
207 | # Mount each fasta path as a unique target directory.
208 | target_fasta_paths = []
209 | for i, fasta_path in enumerate(FLAGS.fasta_paths):
210 | bind, target_path = _create_bind(f'fasta_path_{i}', fasta_path)
211 | binds.append(bind)
212 | target_fasta_paths.append(target_path)
213 | command_args.append(f'--fasta_paths={",".join(target_fasta_paths)}')
214 |
215 | database_paths = [
216 | ('uniref90_database_path', uniref90_database_path),
217 | ('mgnify_database_path', mgnify_database_path),
218 | ('data_dir', FLAGS.data_dir),
219 | ('template_mmcif_dir', template_mmcif_dir),
220 | ('obsolete_pdbs_path', obsolete_pdbs_path),
221 | ]
222 |
223 | if FLAGS.model_preset == 'multimer':
224 | database_paths.append(('uniprot_database_path', uniprot_database_path))
225 | database_paths.append(('pdb_seqres_database_path',
226 | pdb_seqres_database_path))
227 | else:
228 | database_paths.append(('pdb70_database_path', pdb70_database_path))
229 |
230 | if FLAGS.db_preset == 'reduced_dbs':
231 | database_paths.append(('small_bfd_database_path', small_bfd_database_path))
232 | else:
233 | database_paths.extend([
234 | ('uniref30_database_path', uniref30_database_path),
235 | ('bfd_database_path', bfd_database_path),
236 | ])
237 |
238 | # NB for binds:
239 | # - first arg = path on host
240 | # - second arg = path in container
241 | for name, path in database_paths:
242 | if path:
243 | bind, target_path = _create_bind(name, path)
244 | binds.append(bind)
245 | command_args.append(f'--{name}={target_path}')
246 |
247 | output_target_path = os.path.join(_ROOT_MOUNT_DIRECTORY, 'output')
248 | binds.append(f'{FLAGS.output_dir}:{output_target_path}')
249 | logging.info('Binding %s -> %s', FLAGS.output_dir, output_target_path)
250 |
251 | tmp_target_path = '/tmp'
252 | binds.append(f'{tmp_dir}:{tmp_target_path}')
253 | logging.info('Binding %s -> %s', tmp_dir, tmp_target_path)
254 |
255 | use_gpu_relax = FLAGS.enable_gpu_relax and FLAGS.use_gpu
256 |
257 | command_args.extend([
258 | f'--output_dir={output_target_path}',
259 | f'--max_template_date={FLAGS.max_template_date}',
260 | f'--db_preset={FLAGS.db_preset}',
261 | f'--model_preset={FLAGS.model_preset}',
262 | f'--benchmark={FLAGS.benchmark}',
263 | f'--use_precomputed_msas={FLAGS.use_precomputed_msas}',
264 | f'--num_multimer_predictions_per_model={FLAGS.num_multimer_predictions_per_model}',
265 | f'--models_to_relax={FLAGS.models_to_relax}',
266 | f'--use_gpu_relax={use_gpu_relax}',
267 | '--logtostderr',
268 | ])
269 |
270 | options = [
271 | '--bind', f'{",".join(binds)}',
272 | '--env', f'NVIDIA_VISIBLE_DEVICES={FLAGS.gpu_devices}',
273 | # The following flags allow us to make predictions on proteins that
274 | # would typically be too long to fit into GPU memory.
275 | '--env', 'TF_FORCE_UNIFIED_MEMORY=1',
276 | '--env', 'XLA_PYTHON_CLIENT_MEM_FRACTION=4.0',
277 | ]
278 |
279 | # Run the container.
280 | # Result is a dict with keys "message" (value = all output as a single string),
281 | # and "return_code" (value = integer return code)
282 | result = Client.run(
283 | singularity_image,
284 | command_args,
285 | nv=True if FLAGS.use_gpu else None,
286 | return_result=True,
287 | options=options
288 | )
289 |
290 |
291 | if __name__ == '__main__':
292 | flags.mark_flags_as_required([
293 | 'data_dir',
294 | 'fasta_paths',
295 | 'max_template_date',
296 | ])
297 | app.run(main)
298 |
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