by Seq2Study

AlphaFold 3

Predicts structures of proteins with ligands, nucleic acids and modifications.

Google DeepMind and Isomorphic Labs

What it does

Predicts the structure of a complex. Input: a JSON listing protein/RNA/DNA chains, ligands, ions and modifications; output: an all-atom predicted complex with pLDDT, PAE and ranking scores. Code is public; weights must be requested and are non-commercial.

Commercial use

Restricted

Licence as writtenApache License 2.0 (code); 'AlphaFold 3 Model Parameters Terms of Use' (weights)

Code is Apache-2.0, but the README states you may only use the model parameters if received directly from Google, and the weights Terms of Use make them available free of charge only for certain non-commercial uses, by or on behalf of non-commercial organisations. Commercial organisations cannot use the released weights under those terms.

Some commercial use is possible, but a component, dependency or condition needs a paid licence or carries obligations.

Is commercial use free of charge?

No commercial option at any price

There is no price at which a company can use the AlphaFold 3 weights: the Model Parameters Terms of Use restrict them to non-commercial use by non-commercial organisations, and Google does not offer a commercial licence for download. The code is free. For commercial work use Boltz-2 or Chai-1 instead.

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

When to use it

Best-in-class for complex/ligand-containing predictions if you qualify for the weights. For a company, the weight terms are a blocker, so use Boltz-2 or Chai-1 instead.

Facts

Maker
Google DeepMind and Isomorphic Labs
Cost for commercial use
No commercial option at any price
Compute
Heavy GPU
Open weights
No
Licence
Apache License 2.0 (code); 'AlphaFold 3 Model Parameters Terms of Use' (weights)
Last verified

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