ProtGPT2
GPT-2-style generative model that writes de novo protein sequences.
Noelia Ferruz et al.
What it does
Generates novel protein sequences unconditionally or from a seed. Input: an optional sequence prefix and sampling parameters; output: new sequences in natural-protein-like space, plus perplexity scores. A sequence-only generator: it says nothing about structure, so fold it afterwards.
Commercial use
Commercial use OKLicence as writtenApache License 2.0 (as declared on the model card)
The Hugging Face model card metadata declares apache-2.0 for the published weights, and the model is ungated. Verified against the Hugging Face model API.
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 weights, public download, no fee.
Price and rights are separate: this panel is about money, the panel above is about permission.
When to use it
Cheap sequence-space exploration and baseline generation, especially for scaffolds or linkers. Outputs need structure prediction and filtering; it has no notion of a target.
Facts
- Maker
- Noelia Ferruz et al.
- Cost for commercial use
- Free for commercial use
- Category
- Protein language models
- Compute
- Single GPU
- Open weights
- Yes
- Licence
- Apache License 2.0 (as declared on the model card)
- Official site / repo
- huggingface.co/nferruz/ProtGPT2
- 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.