Releases: google-deepmind/alphafold3
Releases · google-deepmind/alphafold3
AlphaFold v3.0.1
Version 3.0.1 provides new features, improves performance, improves documentation, and fixes bugs. We thank everyone who reported issues, proposed new features, and submitted PRs!
Change log
Below is a selection of new features, performance improvements and bug fixes. Full change log: v3.0.0...v3.0.1.
New features
- It is now possible to run template-free, but still search for MSA.
- It is now possible to run template search when MSA provided.
- It is now possible to specify MSA and templates as external files instead of inline in the input JSON.
- Added these new flags:
--max_template_date
,--diffusion_num_samples
,--num_recycles
,--num_seeds
. - Exposed
--conformer_max_iterations
as a flag to allow increasing number of RDKit iterations. - Added an option to return model embeddings and write them to a file.
- Made it possible to set which GPU to use on a multi-GPU system.
- The per-residue pLDDT is now added in the output mmCIF.
Performance improvements
- Replaced the database download script with a significantly faster one and added GCP post-processing scripts.
- Improved the Stockholm converter to not read more sequences than necessary when converting to A3M.
- Improved the Stockholm to A3M conversion to not read the whole file into RAM.
- Sped up template search by not reading and parsing irrelevant mmCIFs. Very significant if PDB stored on a slow filesystem.
- Refactored input JSON parsing as iterator, so that inputs are not all loaded into memory at once and cause an OOM.
- Added sequence deduplication when outputting the JSON, making it smaller for homomers.
Bug fixes
- The data pipeline is now skipped if blank MSA + templates provided.
- Silenced irrelevant Numpy warnings.
- Improved Singularity installation instructions.
- Fixed Pallas GLU kernel on large inputs and updated documentation for compilation buckets.
- Fixed setup to work with Python 3.12.
- If the output directory already exists, AlphaFold won't overwrite files in it, instead it will create a new one.
- Convert DATIVE bond type to SINGLE to match bond types used during training.
- Convert atom element to uppercase in embedding name to match training.
- Fixed user and permissions when untar-ing the PDB mmCIF files.
- Explicitly use
conformer_id
when getting generated conformers. - Fixed A3M -> Stockholm conversion when description contains tabs.
- Sort the input files returned by glob - otherwise in arbitrary order.
- Ensure user CCD contains all necessary fields and improve docs.
- Fixed incorrect handling of two-letter atoms in SMILES ligands.
- Use OpenEye canonical SMILES when available.
- Raise clear errors if cannot create molecule definitions.
- Add XLA flag workaround for CUDA Capability 7.x GPUs.
- Small fix for numerical precision when handling PIDs in Pallas kernel.
- Deal properly with non-standard residues in the single-letter sequence.
- Fixed RASA calculation to work with arbitrary chain IDs.
- Use true chain type for paired MSA creation.
We thank the following people for their pull requests and/or great suggestions:
@alchemistcai, @amorehead, @aozalevsky, @ccoulombe, @dailypartita, @DanFosing, @davidecarlson, @eltociear, @hegelab @jkosinski, @jpcartailler, @jpcartailler, @linuxfold, @lucajovine, @noghte, @orbsmiv, @Saharsha-N, @smg3d, @vatese, @YoshitakaMo.
AlphaFold v3.0.0
Initial release of AlphaFold 3.
PiperOrigin-RevId: 695257954