# Predicting a protein’s shape from its sequence

ESMFold applies a protein language model to infer three-dimensional structure directly from an amino-acid sequence, with checkpoints and bulk prediction tools available to researchers.

Canonical: https://brightaifuture.com/discoveries/esmfold-protein-structures
Format: discovery
Source publication: 2023-03-16
Bright publication: 2026-09-19
Substantive update: None recorded
Evidence and review: Demonstrated; confidence: unassessed; source-checked; ai-assisted. AI-assisted comparison with the cited sources. Source-checked means the record was checked against those sources; it does not claim independent reproduction, expert review, or validation of the publisher’s results.

## The human problem

Experimental structure determination cannot keep pace with the vast number of protein sequences found in nature.

## The prior constraint

Structure prediction and experimental measurement both demanded substantial time and compute per protein.

## AI’s actual role

Learned sequence representations are converted into predicted atomic structure without requiring a multiple-sequence alignment for every target.

## The documented result

The Science study used the approach to help create the ESM Metagenomic Atlas, a public collection of predicted structures for hundreds of millions of metagenomic proteins.

## Why it may matter

Portable predictions can help researchers choose where to investigate, but a model output is evidence to test rather than a measured structure.

## Limitations

Predicted structures vary in confidence and require scientific follow-up. The MIT repository and CC-BY-4.0 Atlas do not amount to a complete released training corpus and recipe.

The peer-reviewed paper and public artifacts establish the research result; neither establishes experimental validity for every predicted protein.

## Unresolved questions



## Provenance and history

{
  "dates": {
    "eventDate": null,
    "publicationDate": "2023-03-16",
    "captureDate": "2026-09-19",
    "lastReviewedDate": "2026-09-19"
  },
  "provenance": {
    "origin": "editorial",
    "externalId": "https://www.science.org/doi/10.1126/science.ade2574"
  },
  "revisions": [
    {
      "id": "revision:open-models-added:esmfold-protein-structures",
      "recordedAt": "2026-09-19",
      "summary": "Bright added this source-checked open-model application record. The cited source publication date is 2023-03-16; 2026-09-19 is when Bright added this record.",
      "sourceIds": [
        "esmfold-science-2023",
        "esm-repository",
        "esmfold-pubmed-record"
      ]
    }
  ],
  "corrections": []
}

## Original sources

- [Evolutionary-scale prediction of atomic-level protein structure with a language model](https://www.science.org/doi/10.1126/science.ade2574)
- [Evolutionary Scale Modeling](https://github.com/facebookresearch/esm)
- [Evolutionary-scale prediction of atomic-level protein structure with a language model](https://pubmed.ncbi.nlm.nih.gov/36927031/)

## Continue exploring

- [Open Models](https://brightaifuture.com/open-models)
- [Open intelligence](https://brightaifuture.com/worlds/open)
- [What changes when powerful models become open-weight?](https://brightaifuture.com/threads/open)
- [Someone builds on it](https://brightaifuture.com/open-intelligence)