ESMFold — end-to-end single-sequence protein structure prediction using the ESM-2 protein language model. Predicts 3D atomic coordinates directly from amino acid sequence without multiple sequence ali

10

ESM-2

ESM-2 — Meta AI protein language model family (8M–15B parameters) for sequence embedding, contact prediction, and structure prediction via ESMFold. Generates per-residue and per-sequence representatio

8

ESM-2/ESM-IF

ESM-2/ESM-IF — Meta AI protein language models for embeddings, structure prediction, and inverse folding. ESM-2 provides learned representations (up to 15B parameters) for zero-shot variant effect pre

8

ESM1v

ESM-1v zero-shot variant-effect prediction for protein mutations from sequence. Use when users ask for ESM1v, mutation effect scoring, deep mutational scan labeling, or Meier et al. 2021 workflows wit

8

Tool	Registry	Domain	Docs
ESMFold ESMFold — end-to-end single-sequence protein structure prediction using the ESM-2 protein language model. Predicts 3D atomic coordinates directly from amino acid sequence without multiple sequence ali	facebookresearch/esm	Structure Prediction	10
ESM-2 ESM-2 — Meta AI protein language model family (8M–15B parameters) for sequence embedding, contact prediction, and structure prediction via ESMFold. Generates per-residue and per-sequence representatio	facebookresearch/esm	Proteomics	8
ESM-2/ESM-IF ESM-2/ESM-IF — Meta AI protein language models for embeddings, structure prediction, and inverse folding. ESM-2 provides learned representations (up to 15B parameters) for zero-shot variant effect pre	facebookresearch/esm	Structure Prediction	8
ESM1v ESM-1v zero-shot variant-effect prediction for protein mutations from sequence. Use when users ask for ESM1v, mutation effect scoring, deep mutational scan labeling, or Meier et al. 2021 workflows wit	facebookresearch/esm	Genomics	8

Tool	Registry	Domain	Docs
ESMFold ESMFold — end-to-end single-sequence protein structure prediction using the ESM-2 protein language model. Predicts 3D atomic coordinates directly from amino acid sequence without multiple sequence ali	facebookresearch/esm	Structure Prediction	10
ESM-2 ESM-2 — Meta AI protein language model family (8M–15B parameters) for sequence embedding, contact prediction, and structure prediction via ESMFold. Generates per-residue and per-sequence representatio	facebookresearch/esm	Proteomics	8
ESM-2/ESM-IF ESM-2/ESM-IF — Meta AI protein language models for embeddings, structure prediction, and inverse folding. ESM-2 provides learned representations (up to 15B parameters) for zero-shot variant effect pre	facebookresearch/esm	Structure Prediction	8
ESM1v ESM-1v zero-shot variant-effect prediction for protein mutations from sequence. Use when users ask for ESM1v, mutation effect scoring, deep mutational scan labeling, or Meier et al. 2021 workflows wit	facebookresearch/esm	Genomics	8

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