Standing
The preprint reports complex prediction above established methods, including antibody and antigen interactions, and binder discovery with nanomolar affinities for miniproteins and single-chain antibodies.
Predicts all-atom structures of proteins and their complexes from ESM C representations, with an optional alignment for difficult targets. It does not reuse the AlphaFold2-style structure module that ESMFold ended in.
The current end of the language-model-to-structure line: a large encoder in front, an all-atom generative decoder behind, and the alignment demoted from requirement to option.
The same pipeline as ESMFold, with a better reader at the front and a decoder that sketches rather than measures.
It is a preprint. The checkpoint you can download today is a small experimental variant whose own card tells you to use the main model for real work.
The preprint reports complex prediction above established methods, including antibody and antigen interactions, and binder discovery with nanomolar affinities for miniproteins and single-chain antibodies.
A preprint, not yet peer reviewed. The published experimental checkpoint is a 0.2B parameter fast variant released for reproducibility, and its card recommends the main model for research use.
| Repository | Size | Licence | Note |
|---|---|---|---|
| biohub/ESMFold2-Experimental-Fast | 0.2B | MIT | Experimental release; single-sequence or MSA-conditioned |
Evolution in, coordinates out.
Predicts the structure of a protein from its sequence, an alignment of its homologues and optional templates.
Explore the architecture Structure prediction2024One model for the whole complex.
Predicts the joint structure of complexes containing proteins, nucleic acids, small molecules, ions and modified residues.
Explore the architecture Structure prediction2023Fold without searching for relatives.
Predicts a structure from a single sequence with no alignment search at query time.
Explore the architecture