bytedance

    bytedance/Protenix

    Toward High-Accuracy Open-Source Biomolecular Structure Prediction.

    backend
    ai4science
    research
    Python
    Apache-2.0
    2.1K stars
    331 forks
    2.1K GitHub watchers
    Updated Oct 28, 2026
    View on GitHub

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    Where it stands

    Rank, growth pace and release cadence relative to everything GStars tracks.

    No releases in the last 90 days; the most recent was 204 days ago, with 31 contributors on GitHub.

    Peaked at #63 in the weekly ranking the week of Feb 15, its best in the past year.

    Use Cases & Benefits

    • Provides high-accuracy open-source biomolecular structure prediction using advanced AI models.
    • Delivers superior accuracy compared to AlphaFold3 while maintaining open accessibility and extensibility for research.
    • Use for predicting protein and RNA complex structures in computational biology research.
    • Use for developing de novo protein-binder designs with enhanced experimental success rates.
    • Use for benchmarking and evaluating structure prediction models with a reproducible open-source toolkit.

    Should you depend on it?

    License terms, project hygiene and risks, from GitHub metadata and GStars' snapshots.

    License

    Apache 2.0

    Permissive: commercial use, modification and redistribution are allowed with attribution; includes an explicit patent grant from contributors.

    Community files

    • README: present
    • Contributing guide: present
    • Code of conduct: present

    Watch-outs

    No watch-outs from GStars' checks.

    General guidance from repository metadata, not legal advice. How we score

    From the README

    📣📣📣 We're hiring!
    Positions in Beijing 🇨🇳 and Seattle 🇺🇸
    Interested in machine learning, computational chemistry/biology, structural biology, or drug discovery? Join us to build cutting-edge AI for biology!
    👉 Join us »

    We’re excited to introduce Protenix — Toward High-Accuracy Open-Source Biomolecular Structure Prediction.

    Protenix is built for high-accuracy structure prediction. It serves as an initial step in our journey toward advancing accessible and extensible research tools for the computational biology community.

    Excerpt from the bytedance/Protenix README on GitHub (Apache-2.0 license). © its authors.Read the full README on GitHub

    Daily snapshots

    Stars gained per day, and how forks and open issues moved, from GStars' daily snapshots

    Forks

    331+33

    Open issues

    137+31

    Compared with peers in Backend

    Fastest-growing repositories GStars tracks in this cohort for the week of Nov 1, by 7-day star growth

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