OpenFold
Trainable open reimplementation of AlphaFold 2.
AlQuraishi lab, Columbia University
What it does
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.
Commercial use
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.
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.
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.
Facts
- Maker
- AlQuraishi lab, Columbia University
- Cost for commercial use
- Free for commercial use
- Category
- Structure and complex prediction
- Compute
- Heavy GPU
- Open weights
- Yes
- Licence
- Apache License 2.0
- Official site / repo
- github.com/aqlaboratory/openfold
- Paper
- nature.com
- Last verified
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.