Official git repository for Biopython (originally converted from CVS)
Trainable, memory-efficient, and GPU-friendly PyTorch reproduction of AlphaFold 2
Standardized data set for machine learning of protein structure
Protein Graph Library
Working with molecular structures in pandas DataFrames
Tasks Assessing Protein Embeddings (TAPE), a set of five biologically relevant semi-supervised learning tasks spread across different domains of protein biology.
Addon and nodes for working with structural biology and molecular data in Blender.
Optimizing AlphaFold Training and Inference on GPU Clusters
Remote protein homology detection suite.
EquiBind: geometric deep learning for fast predictions of the 3D structure in which a small molecule binds to a protein
Get protein embeddings from protein sequences
Recurrent Geometric Networks for end-to-end differentiable learning of protein structure
Protein-Ligand Interaction Profiler - Analyze and visualize non-covalent protein-ligand interactions in PDB files according to
Molecular simulation in Julia
Source code for "Learning protein sequence embeddings using information from structure" - ICLR 2019
A Python API for the RCSB Protein Data Bank (PDB)
An all-atom protein structure dataset for machine learning.
Foldseek enables fast and sensitive comparisons of large structure sets.
An open-source platform for developing protein models beyond AlphaFold.
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