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Documentation Index

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ESM is a family of large protein language models trained on evolutionary-scale sequence data. Variants (ESM-1b/2/ESMFold/ESM-3) support representation learning, zero-shot mutational effects, and structure prediction.

Type

Protein language model

Primary tasks

Embeddings, structure prediction (ESMFold), design

Input

Amino acid sequences (e.g., FASTA)

Origin

Meta AI

License

MIT

Resources

Use ESM embeddings for downstream tasks (e.g., fitness prediction) or ESMFold for fast single-sequence structure prediction.