ESMFold2
Structure prediction · Biohub · 2026

ESMFold2

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.

In plain language

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.

One way to picture it

The same pipeline as ESMFold, with a better reader at the front and a decoder that sketches rather than measures.

Commonly misread as

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.

01 / Why it is here

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.

02 / What sets it apart

Distinctions

  • The alignment becomes optional rather than absent or required.
  • The decoder is diffusion over atoms, which is the same shift AlphaFold3 made.
  • Inverting the model is used as a design procedure, not only a prediction one.
03 / Where it stops

Limits

A preprint, not yet peer reviewed.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.

Weights and code

Checked against the registry, not from memory
RepositorySizeLicenceNote
biohub/ESMFold2-Experimental-Fast0.2BMITExperimental release; single-sequence or MSA-conditioned

Sources

Each number above comes from one of these

Same task, other answers

Structure prediction