ESM C
Creates protein-sequence embeddings for tasks such as function and property prediction.
- Field
- Biology & genomics
- Method
- Foundation model
- Data it takes
- sequence
- License
- MIT
ESM C is a protein language model producing per-residue and whole-sequence embeddings. These feed downstream predictors of function, stability and localization, and generally outperform hand-designed sequence features.
It is the default protein representation model in this catalog. The license is MIT and the weights are ungated.
Catalog entry last checked 2026-08-17. All models →
Run ESM C on your data
The lab runs this on its own compute, in a container, with the inputs and parameters recorded alongside the result. Initial scoping conversations are free.
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