Releases: BioinfoMachineLearning/PoseBench
Releases · BioinfoMachineLearning/PoseBench
v.0.5.0
What's Changed
Additions:
- Adds results with AlphaFold 3 predicted structures (now the default), which yield a 5-10% performance improvement over ESMFold structures on average
- Adds results for the new Chai-1 model from Chai Discovery
- Adds a new inference sweep pipeline for HPC clusters to allow users to quickly run an exhaustive sweep of all baseline methods, datasets, and tasks e.g., using generated batch scripts and a SLURM scheduler
Updates:
- Updates all Zenodo links to point to the latest version of the project's Zenodo record, which now includes the above-mentioned AlphaFold 3 predicted structures and baseline method results using them
- Updates documentation project-wide according to the additions listed above
Fixes:
- Fixes some CI testing issues
New Contributors
- @amorehead made their first contribution in #7
Full Changelog: v0.4.0...v0.5.0
v0.4.0
Full Changelog: v.0.3.0...v0.4.0
Updates:
- Renamed
src
root directory toposebench
to supportpip
packaging - Updated dataset documentation in
README.md
Additions:
- Added and documented
pip
installation option - Added mmCIF to PDB file conversion script
- Added apo-to-holo predicted protein structure accuracy assessment and plotting script
- Added support to
notebooks/dockgen_inference_results_plotting.ipynb
for analyzing the protein-ligand interactions within the PDBBind 2020 dataset's experimental structures
v0.3.0
v0.3.0 Release Notes
Additions:
- Added a notebook for plotting expanded DockGen benchmark results
- Added support for scoring relaxed-protein predictions
Corrections:
- Fixed runtime error for relaxed-protein energy minimization
- Fixed runtime error for compute benchmarking RoseTTAFold-All-Atom predictions
v0.2.0
v0.2.0 Release Notes
Additions:
- Added P2Rank as a new binding site prediction method available to use with AutoDock-Vina
- Added OpenJDK to the
PoseBench
Conda environment to enable P2Rank inference - Added a script to benchmark the required compute resources for each baseline method
Updates:
- Updated citation
Corrections:
- Corrected directory navigation instructions (i.e.,
cd
references) inREADME.md
to reflect the directory structure of each Zenodo archive file - Corrected Biopython, NumPy, and ProDy versions in the DiffDock Conda environment to avoid GCC compilation errors