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{bio}[foss/2022a] AlphaFold v2.3.1, HH-suite v3.3.0, Kalign v3.3.5, OpenMM 8.0.0 w/ Python 3.10.4 #17604
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{bio}[foss/2022a] AlphaFold v2.3.1, HH-suite v3.3.0, Kalign v3.3.5, OpenMM 8.0.0 w/ Python 3.10.4 #17604
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5ca7aa3
Add AlphaFold and deps
maxim-masterov ceb5300
Update to AlphaFold-2.3.1
maxim-masterov 3e57144
Add missing binutils
maxim-masterov 3e6e9bb
Add OpenMM-7.7.0
maxim-masterov 25466dc
Switch to OpenMM-8.0.0
maxim-masterov d86a6c9
Add CUDA to OpenMM
maxim-masterov 956625c
Fix comment
maxim-masterov b42386e
Add patch to resolve tree-vectorize issue
maxim-masterov 2b69ad1
Fix style
maxim-masterov b7c176b
Add CUDA versionsuffix to OpenMM
maxim-masterov 02e6688
Merge branch 'develop' of https://github.com/easybuilders/easybuild-e…
maxim-masterov 8af4143
Fix style
maxim-masterov a1f307a
update jax dependency of AlphaFold 2.3.1 to 0.3.25
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169 changes: 169 additions & 0 deletions
169
easybuild/easyconfigs/a/AlphaFold/AlphaFold-2.3.1-foss-2022a-CUDA-11.7.0.eb
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,169 @@ | ||
| easyblock = 'PythonBundle' | ||
|
|
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| name = 'AlphaFold' | ||
| version = '2.3.1' | ||
| versionsuffix = '-CUDA-%(cudaver)s' | ||
|
|
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| homepage = 'https://deepmind.com/research/case-studies/alphafold' | ||
| description = "AlphaFold can predict protein structures with atomic accuracy even where no similar structure is known" | ||
|
|
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| toolchain = {'name': 'foss', 'version': '2022a'} | ||
|
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| builddependencies = [ | ||
| # required for installing dm-tree | ||
| ('Bazel', '5.1.1'), | ||
| ('CMake', '3.23.1'), | ||
| ] | ||
|
|
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| dependencies = [ | ||
| ('Python', '3.10.4'), | ||
| ('CUDA', '11.7.0', '', SYSTEM), | ||
| ('SciPy-bundle', '2022.05'), | ||
| ('PyYAML', '6.0'), | ||
| ('TensorFlow', '2.11.0', versionsuffix), | ||
| ('Biopython', '1.79'), | ||
| ('HH-suite', '3.3.0'), | ||
| ('HMMER', '3.3.2'), | ||
| ('Kalign', '3.3.5'), | ||
| ('jax', '0.3.14', versionsuffix), # also provides absl-py | ||
| ('UCX-CUDA', '1.12.1', versionsuffix), | ||
| ('cuDNN', '8.4.1.50', versionsuffix, SYSTEM), | ||
| ('NCCL', '2.12.12', versionsuffix), | ||
| ('OpenMM', '8.0.0', versionsuffix), | ||
| ] | ||
|
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| # commit to use for downloading stereo_chemical_props.txt and copy to alphafold/common, | ||
| # see docker/Dockerfile in AlphaFold repository | ||
| local_scp_commit = '7102c6' | ||
|
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| components = [ | ||
| (name, version, { | ||
| 'easyblock': 'PythonPackage', | ||
| 'source_urls': [ | ||
| 'https://github.com/deepmind/alphafold/archive/refs/tags/', | ||
| 'https://git.scicore.unibas.ch/schwede/openstructure/-/raw/%s/modules/mol/alg/src/' % local_scp_commit, | ||
| ], | ||
| 'sources': [ | ||
| { | ||
| 'download_filename': 'v%(version)s.tar.gz', | ||
| 'filename': SOURCE_TAR_GZ, | ||
| }, | ||
| { | ||
| 'download_filename': 'stereo_chemical_props.txt', | ||
| 'filename': 'stereo_chemical_props-%s.txt' % local_scp_commit, | ||
| 'extract_cmd': "cp %s .", | ||
| }, | ||
| ], | ||
| 'patches': [ | ||
| 'AlphaFold-2.0.0_fix-packages.patch', | ||
| 'AlphaFold-2.3.0_data-dep-paths.patch', | ||
| 'AlphaFold-2.0.0_n-cpu.patch', | ||
| 'AlphaFold-2.1.0_fix-scp-path.patch', | ||
| 'AlphaFold-2.0.1_setup_rm_tfcpu.patch', | ||
| 'AlphaFold-2.3.1_use_openmm_7.7.0.patch', | ||
| ], | ||
| 'checksums': [ | ||
| '1161b2609fa896b16399b900ec2b813e5a0b363fe4e2b26bd826953ba234736a', # v2.3.1.tar.gz | ||
| '24510899eeb49167cffedec8fa45363a4d08279c0c637a403b452f7d0ac09451', # stereo_chemical_props-7102c6.txt | ||
| '826d2d1a5d6ac52c51a60ba210e1947d5631a1e2d76f8815305b5d23f74458db', # AlphaFold-2.0.0_fix-packages.patch | ||
| '5cff3fc7104e020ef546d23cb4fb1b8d6517562783f055cc55fc65fe2b0248d0', # AlphaFold-2.3.0_data-dep-paths.patch | ||
| 'dfda4dd5f9aba19fe2b6eb9a0ec583d12dcefdfee8ab8803fc57ad48d582db04', # AlphaFold-2.0.0_n-cpu.patch | ||
| '5363d403baf5ab73f4d3ddd72e19af9ff832de4b1d7ba25a5fbcc5846c1c890f', # AlphaFold-2.1.0_fix-scp-path.patch | ||
| '1a2e4e843bd9a4d15ee39e6c37cc63ba281311cc7a0a5610f0e43b52ef93faac', # AlphaFold-2.0.1_setup_rm_tfcpu.patch | ||
| # AlphaFold-2.3.1_use_openmm_7.7.0.patch | ||
| 'd800bb085deac7edbe2d72916c1194043964aaf51b88a3b5a5016ab68a1090ec', | ||
|
|
||
| ], | ||
| 'start_dir': 'alphafold-%(version)s', | ||
| 'use_pip': True, | ||
| }), | ||
| ] | ||
|
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| use_pip = True | ||
|
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| exts_list = [ | ||
| ('PDBFixer', '1.8.1', { | ||
| 'source_urls': ['https://github.com/openmm/pdbfixer/archive/refs/tags/'], | ||
| 'sources': [{'download_filename': 'v%(version)s.tar.gz', 'filename': '%(name)s-%(version)s.tar.gz'}], | ||
| 'checksums': ['d50551abfe9dbaefc066f4d9d400cdebe57f1fefd9de9d01e12beb87efd99595'], | ||
| }), | ||
| ('toolz', '0.12.0', { | ||
| 'checksums': ['88c570861c440ee3f2f6037c4654613228ff40c93a6c25e0eba70d17282c6194'], | ||
| }), | ||
| ('chex', '0.1.6', { | ||
| 'checksums': ['adb5d2352b5f0d248ccf594be1b1bf9ee7a2bee2a57f0eac78547538d479b0e7'], | ||
| }), | ||
| ('tabulate', '0.9.0', { | ||
| 'checksums': ['0095b12bf5966de529c0feb1fa08671671b3368eec77d7ef7ab114be2c068b3c'], | ||
| }), | ||
| ('jmp', '0.0.4', { | ||
| 'checksums': ['5dfeb0fd7c7a9f72a70fff0aab9d0cbfae32a809c02f4037ff3485ceb33e1730'], | ||
| }), | ||
| ('dm-haiku', '0.0.9', { | ||
| 'modulename': 'haiku', | ||
| 'source_urls': ['https://github.com/deepmind/dm-haiku/archive/refs/tags/'], | ||
| 'sources': [{'download_filename': 'v%(version)s.tar.gz', 'filename': '%(name)s-%(version)s.tar.gz'}], | ||
| 'checksums': ['d550f07f5891ede30ada5faafde98f549ed1b8ceadb7a601cca3d81db7d82414'], | ||
| }), | ||
| ('dm-tree', '0.1.8', { | ||
| 'modulename': 'tree', | ||
| 'checksums': ['0fcaabbb14e7980377439e7140bd05552739ca5e515ecb3119f234acee4b9430'], | ||
| }), | ||
| ('websocket-client', '1.5.1', { | ||
| 'modulename': 'websocket', | ||
| 'checksums': ['3f09e6d8230892547132177f575a4e3e73cfdf06526e20cc02aa1c3b47184d40'], | ||
| }), | ||
| ('docker', '6.0.1', { | ||
| 'checksums': ['896c4282e5c7af5c45e8b683b0b0c33932974fe6e50fc6906a0a83616ab3da97'], | ||
| }), | ||
| ('immutabledict', '2.2.3', { | ||
| 'checksums': ['0e1e8a3f2b3ff062daa19795f947e9ec7a58add269d44e34d3ab4319e1343853'], | ||
| }), | ||
| ('contextlib2', '21.6.0', { | ||
| 'checksums': ['ab1e2bfe1d01d968e1b7e8d9023bc51ef3509bba217bb730cee3827e1ee82869'], | ||
| }), | ||
| ('ml_collections', '0.1.1', { | ||
| 'preinstallopts': "touch requirements.txt && touch requirements-test.txt && ", | ||
| 'checksums': ['3fefcc72ec433aa1e5d32307a3e474bbb67f405be814ea52a2166bfc9dbe68cc'], | ||
| }), | ||
| ] | ||
|
|
||
| postinstallcmds = [ | ||
| "mkdir -p %(installdir)s/bin", | ||
| # run_alphafold.py script is missing a shebang... | ||
| "echo '#!/usr/bin/env python' > %(installdir)s/bin/run_alphafold.py", | ||
| "cat %(builddir)s/alphafold-%(version)s/run_alphafold.py >> %(installdir)s/bin/run_alphafold.py", | ||
| "chmod a+x %(installdir)s/bin/run_alphafold*.py", | ||
| "cd %(installdir)s/bin && ln -s run_alphafold.py alphafold", | ||
| "cp -a %(builddir)s/alphafold-%(version)s/scripts %(installdir)s/", | ||
| "cp %%(builddir)s/stereo_chemical_props-%s.txt %%(installdir)s/stereo_chemical_props.txt" % local_scp_commit, | ||
| # run tests for run_alphafold.py script; | ||
| # shouldn't do this in sanity check to avoid breaking use of --module-only | ||
| "PYTHONPATH=%(installdir)s/lib/python%(pyshortver)s/site-packages:$PYTHONPATH " | ||
| "python %(builddir)s/alphafold-%(version)s/run_alphafold_test.py", | ||
| ] | ||
|
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| sanity_check_paths = { | ||
| 'files': ['bin/alphafold', 'bin/pdbfixer', 'bin/run_alphafold.py', 'stereo_chemical_props.txt'], | ||
| 'dirs': ['lib/python%(pyshortver)s/site-packages', 'scripts'], | ||
| } | ||
|
|
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| sanity_check_commands = [ | ||
| "pdbfixer --help", | ||
| "python -m openmm.testInstallation", | ||
| "python -c 'import alphafold'", | ||
| "alphafold --help 2>&1 | grep 'Full AlphaFold protein structure prediction script'", | ||
| ] | ||
|
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| sanity_pip_check = True | ||
|
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| # these allow to make predictions on proteins that would typically be too long to fit into GPU memory; | ||
| # see https://github.com/deepmind/alphafold/blob/main/docker/run_docker.py | ||
| modextravars = { | ||
| 'TF_FORCE_UNIFIED_MEMORY': '1', | ||
| 'XLA_PYTHON_CLIENT_MEM_FRACTION': '3', | ||
| # 'ALPHAFOLD_DATA_DIR': '/path/to/AlphaFold_DBs', # please adapt | ||
| 'OPENMM_RELAX': 'CUDA' # unset or set to 'CPU' in order not to run the energy minimization on GPU; PR#189 | ||
| } | ||
|
|
||
| moduleclass = 'bio' | ||
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