Liftoff.bio illustration — cat structural

Protenix

High-accuracy open-source AlphaFold3 reproduction from ByteDance

What's new

Protenix-v2 (2026) is a 464M-parameter model with large gains on antibody–antigen complexes and training-free geometric guidance during diffusion.

Protenix is a production-grade, open reproduction of AlphaFold 3 built by ByteDance. Protenix-v1 was the first fully open-source model to outperform AlphaFold 3 across diverse benchmarks under the same data cutoff and inference budget.

Highlights

  • Apache-2.0 code and weights with support for MSA, RNA MSA and templates.
  • Protenix-v2 adds a training-free guidance module that enforces steric, torsion and bond constraints during diffusion sampling.
  • Inference-time scaling (more samples) yields consistent gains on hard antibody–antigen targets.

Related tools

Liftoff.bio illustration — post structure models
Free for academia

AI Models

AlphaFold 3

Predict the joint structure of proteins, nucleic acids and ligands

Web appModel weightsCommand line
Liftoff.bio illustration — cat ai models
Open source

AI Models

Boltz-2

Open-source structure and binding-affinity prediction, MIT licensed

Python libraryCommand lineModel weights
Liftoff.bio illustration — cat ai models
Open source

AI Models

OpenFold3

A community, bitwise-faithful open reproduction of AlphaFold 3

Python libraryCommand lineModel weights