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Open weightsByteDance/10 trustVerified
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Protenix

Open-source AlphaFold 3 reproduction for biomolecular structure prediction.

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About

Protenix is ByteDance's open-source reproduction of AlphaFold 3 for high-accuracy biomolecular structure prediction. The Pairformer plus diffusion architecture predicts all-atom 3D structures for complexes mixing proteins, DNA, RNA, small-molecule ligands, and ions, with support for post-translational modifications, MSAs, structural templates, and soft pocket or contact constraints.

The full stack ships under Apache 2.0: training and inference code, pretrained weights, data and MSA pipelines, and a browser-based web server. Protenix was the first open-source model to match or beat AlphaFold 3 on head-to-head benchmarks, and the family includes lightweight Protenix-Mini variants plus PXDesign for binder design. The honest caveats: full-accuracy runs want a 24GB+ GPU and the MSA pipeline adds real latency, and as a reproduction it inherits AlphaFold 3's blind spots on highly flexible or disordered regions.

Specs

Context window

Pricing

Free quota

API access

Weights

Open weights

Released

September 1, 2024

Benchmarks

Provider-reported unless a source says otherwise. Benchmarks are marketing-adjacent by nature — treat them as directional.

Use cases

protein-structure-predictiondrug-discoverymolecular-modelingbioinformatics

Trust score — 8/10

/10 trustVerified

Scored 8/10 (verified tier, metrics-v1). Evidence: Verified via vendor site/docs/GitHub and reputable coverage, wave 95; Trending score 82/100 from researcher assessment.

Sources