Genie 2
Diffusion model for unconditional backbone generation and multi-motif scaffolding.
AQ Laboratory (Mohammed AlQuraishi lab, Columbia University)
What it does
Generates protein backbones, optionally scaffolding several functional motifs at once. Input: a length range, or one or more motif PDB fragments with their desired spacing; output: backbone PDBs, which you then sequence-design and refold to check designability. Checkpoints ship in the v1.0.0 release.
Commercial use
Commercial use OKLicence as writtenApache License 2.0
Apache-2.0 LICENSE in the repo. The README states the repository provides training and inference code 'as well as model weights', released from the same repository, and no separate weight terms are given - so the permissive grant is the only licence in play.
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 useFree: Apache-2.0 code and checkpoints downloaded from the GitHub release, no fee.
Price and rights are separate: this panel is about money, the panel above is about permission.
When to use it
The practical option when you need multi-motif scaffolding, which RFdiffusion handles less directly. Research-grade: expect to filter heavily and to pair it with ProteinMPNN plus a refolding check.
Facts
- Maker
- AQ Laboratory (Mohammed AlQuraishi lab, Columbia University)
- Cost for commercial use
- Free for commercial use
- Compute
- Single GPU
- Open weights
- Yes
- Licence
- Apache License 2.0
- Official site / repo
- github.com/aqlaboratory/genie2
- Paper
- arxiv.org
- Last verified
Get told when a licence changes
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