ESM-2 / ESMFold vs ProtTrans
ESM-2 / ESMFold: Protein language models and single-sequence structure prediction (Meta repo archived; models still widely used via Hugging Face). ProtTrans: Transformer protein language models (ProtT5, ProtBERT and others) pretrained on UniRef and BFD, used for embeddings and fine-tuning.
Facts below come from each project's own website, repository and paper. We don't publish benchmark claims here; see the papers for evaluations.
| Field | ESM-2 / ESMFold | ProtTrans |
|---|---|---|
| Task | Protein language model, structure prediction | Protein embeddings / property prediction |
| Modalities | Protein (single chain) | Sequence |
| MSA required | No (single sequence) | No |
| Open weights | Yes | Yes (MIT) |
| GPU need | — | GPU recommended; CPU works for small models |
| License | MIT | MIT |
| Pricing | Open source | Open source |
| Released | 2022-07-21 | 2020-05-11 |
| Paper | Link | Link |
| GitHub | GitHub | GitHub |
| GitHub stars | 4,170 | 1,324 |
| Interface | Package, Colab | — |
License and commercial use
| Field | ESM-2 / ESMFold | ProtTrans |
|---|---|---|
| Code license | MIT | MIT |
| Weights license | — | MIT |
| Commercial use | Permissive (commercial OK) | Permissive (commercial OK) |
| Answer | Yes. The recorded license is permissive, so closed-source commercial use is allowed if you keep the notices. Details | Yes. The recorded license is permissive, so closed-source commercial use is allowed if you keep the notices. Details |
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