by Seq2Study

Protenix

Open AlphaFold3-class complex predictor from ByteDance, Apache-2.0 for code and v1 parameters.

ByteDance (AML AI for Science)

What it does

Predicts all-atom structures of biomolecular complexes. Input: a JSON/YAML of protein, nucleic-acid and ligand entities (optionally MSAs); output: ranked all-atom complexes with confidence scores. Also ships lightweight 'Mini' variants that cut inference cost.

Commercial use

Commercial use OK

Licence as writtenApache License 2.0 (code and released model parameters)

The README's License section states the project, code and model parameters, is released under Apache 2.0 and is 'free for both academic research and commercial use'. Important exception read in the same README: the newer Protenix-v2 weights are described as proprietary and confidential, not released under any open-source licence - so the free commercial grant covers the openly released checkpoints, not v2.

The licence read at the source allows use by a company. Attribution or copyleft conditions may still apply — read the note.

Is commercial use free of charge?

Free for commercial use

No fee for the open checkpoints - the README states Apache 2.0 for code and parameters and explicitly says commercial use is free. Protenix-v2 is not available at any published price.

Price and rights are separate: this panel is about money, the panel above is about permission.

When to use it

A third commercially usable AlphaFold3 substitute alongside Boltz-2 and Chai-1, with a stated antibody-antigen focus in later versions. Use the openly licensed checkpoints; do not assume v2 weights come with the same rights.

Facts

Maker
ByteDance (AML AI for Science)
Cost for commercial use
Free for commercial use
Compute
Heavy GPU
Open weights
Yes
Licence
Apache License 2.0 (code and released model parameters)
Official site / repo
github.com/bytedance/Protenix
Last verified

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