OpenFold
Trainable open reimplementation of AlphaFold 2.
Developer: AlQuraishi lab, Columbia University
Overview
- Developer
- AlQuraishi lab, Columbia University
- Category
- Structure and complex prediction
- Commercial rights
- Commercial OK
- Commercial cost
- Free commercially
- Compute
- Heavy GPU
- Open weights
- Yes
- Last verified
Capabilities
Trainable AlphaFold2 reimplementation. Input: FASTA/MSAs; output: predicted structures, with the ability to fine-tune or retrain on your own data - which the original AlphaFold code does not give you.
When to use it
Use when you need to fine-tune or retrain an AF2-class model on your own data rather than just run inference. Training is genuinely expensive in GPU time.
Input / Output
- Input
- FASTA/MSAs
- Output
- predicted structures, with the ability to fine-tune or retrain on your own data - which the original AlphaFold code does not give you
Compute
Heavy 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 file in the repo. The README notes DeepMind's pretrained parameters fall under CC BY 4.0, replacing the earlier CC BY-NC 4.0 terms; OpenFold's own trained weights are distributed with the project.
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 useNothing to pay: the licence read at the source grants commercial use with no fee, and the code and weights are public downloads. You still pay for your own compute.
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/openfold
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