Protein Structure Prediction Python Packages

alphafold3-pytorch

Implementation of Alphafold 3 from Google Deepmind in Pytorch

protpy

Calculating a range of protein descriptors using their physicochemical, biological and structural properties 🔬.

prospr

Prospr is a universal toolbox for protein structure prediction within the HP-model. The Python package is based on a C++ core, which gives Prospr its high performance. The C++ core is made available as a separate zip file to facilitate high-performance computing applications. The package comes with many prediction algorithms and datasets to use.

uniprot-mcp-server

Model Context Protocol server for UniProt — Swiss-Prot and TrEMBL protein knowledgebase. 41 tools across 8 families with per-query SHA-256 provenance verification and offline replay.

biosaic

KMer level tokenizer for DNA & Proteins sequences

igfold-pytorch

IgFold - Pytorch

deepab-pytorch

Unofficial implementation of DeepAb in PyTorch.

dmpfold

Protein structure prediction with the DMPfold2 method