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bytedance/Protenix ★ 2048 310 APPLICATION

Protenix is a production-oriented PyTorch implementation of AlphaFold 3 for biomolecular structure prediction, maintained by ByteDance. It is best classified as an application rather than a pure research codebase: it ships a `protenix` CLI with commands for prediction, input conversion, MSA/template/RNA-MSA search, and data preparation, plus training/fine-tuning entry points, batch inference runners, Docker deployment, web-service helpers, and PyPI packaging. The code ingests PDB/CIF, FASTA, SMILES/SDF, and JSON descriptors covering proteins, DNA, RNA, ligands, ions, modified residues, covalent bonds, and contact/pocket constraints, then outputs predicted 3D CIF structures with confidence metrics such as pLDDT, PAE, pTM, and ipTM.

RATING: 8.8/10 MAINT: active DRIFT: low
#protein-structure-prediction #alphafold3 #pytorch #diffusion-model #bioinformatics #structural-biology #deep-learning #ai4science #research
▸ 6 reusable components found
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