Predicting direct protein-protein interactions with AlphaFold deep learning neural network models.
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Updated
Sep 8, 2024 - Python
Predicting direct protein-protein interactions with AlphaFold deep learning neural network models.
MetaBox: Benchmarking Platform for Meta-Black-Box Optimization
Protein-protein, protein-peptide and protein-DNA docking framework based on the GSO algorithm
MPI parallel version of the FTDock protein-protein docking algorithm
Python utility that bulk-submits receptor/ligand pairs to the HDOCK server, tracks job tokens
Full BM5.5 (257 complexes) protein-protein complex relaxation benchmark. AlphaFold 2.3.2 + Boltz-1 v0.4.1 with AMBER relaxation on all models, Rosetta 3.15 relaxation (6 protocols x 5 replicates).
A Deep-learning based dOcking decoy eValuation mEthod
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