Genie 2
Diffusion model for unconditional backbone generation and multi-motif scaffolding.
Developer: AQ Laboratory (Mohammed AlQuraishi lab, Columbia University)
Overview
- Developer
- AQ Laboratory (Mohammed AlQuraishi lab, Columbia University)
- Commercial rights
- Commercial OK
- Commercial cost
- Free commercially
- Compute
- Single GPU
- Open weights
- Yes
- Last verified
Capabilities
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.
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.
Input / Output
- 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
Compute
Single GPU. Other tools with this compute profile →
Commercial Licensing
Commercial rights — may a company use it?
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.
Commercial cost — 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.
- Commercial OK ≠ Free of charge. A tool can be licensed for company use and still need a paid licence for a dependency (BindCraft → PyRosetta).
- Free download ≠ Commercially licensed. Weights you can download at no cost may still forbid commercial use (AlphaFold 3).
- Unverified ≠ Commercially permitted. If no published statement settles it, treat it as unknown — not as a yes.
- Every component counts. Each status considers the code licence, the model-weights terms, required dependencies and any terms of use.
Model Weights
Open weights. A separate weights licence is Not documented as its own field; where weights carry different terms from the code, that is stated in the licence explanation above.
Dependencies
Not documented as a separate field. Any dependency that affects commercial use (for example a paid PyRosetta licence) is named in the licence and cost explanations above.
Official References
- Official site / repo
- github.com/aqlaboratory/genie2
From the makers of FoldScout
From AI Design to Wet-Lab Validation
Designed a promising protein or antibody? Seq2Study helps translate AI-generated sequences into experimental data.
- Protein Expression
- Protein Purification
- Binding Affinity
- Aggregation Assessment
- Stability Evaluation
- Developability Assessment
Get told when a licence changes
Licences on these tools do change. One short email when a status flips or a tool is added. No other use of your address.