by Seq2Study

AlphaProteo

DeepMind's binder design system - no code or weights released; trusted-tester access only.

Google DeepMind

What it does

Designs de novo protein binders to a specified target site, with reported nanomolar-to-picomolar affinities straight out of the model. Input (per the trusted-tester notebook): a target PDB ID and the target region; output: binder designs returned by DeepMind, not computed locally. There is no model you can run.

Commercial use

Unverified

Licence as writtenApache License 2.0 covers only the input-preparation notebooks in the public repo; the model itself is unreleased

The only public artefact is the ap_trusted_testers repository, whose README describes a Colab that helps 'users of the AlphaProteo Trusted Tester Program' prototype requests and visualise target regions - an input builder, not the model. No weights, no inference code and no terms for commercial use of the designs are published, so rights are unverified.

We could not find a published statement that settles it (often: the model weights carry no licence). Treat as unknown.

Is commercial use free of charge?

Cost unverified

No price exists because no product exists. Access is by DeepMind's trusted-tester programme, whose commercial terms are not published.

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

When to use it

Nothing to adopt today: include it in a landscape review, not a pipeline. BindCraft, RFdiffusion and BoltzGen are what you can actually run for binder design.

Facts

Maker
Google DeepMind
Cost for commercial use
Cost unverified
Open weights
No
Licence
Apache License 2.0 covers only the input-preparation notebooks in the public repo; the model itself is unreleased
Last verified

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