# A broader map of human proteins.

Researchers applied AlphaFold to a broad collection of human proteins.

Canonical: https://brightaifuture.com/discoveries/proteome
Format: discovery
Source publication: 2021-07-22
Bright publication: 2026-09-05
Substantive update: None recorded
Evidence and review: Demonstrated; confidence: unassessed; source-checked; legacy source check. Legacy source check; no named human reviewer is recorded in this projection.

## The human problem

Many human proteins lacked experimentally determined structures.

## The prior constraint

Structural coverage was incomplete and uneven.

## AI’s actual role

AlphaFold predicted structures across the human proteome.

## The documented result

The study supplied predictions with per-region confidence estimates.

## Why it may matter

Scientists could investigate previously less accessible protein regions.

## Limitations

Coverage is not uniform accuracy; disordered regions and low-confidence predictions need care.

## Unresolved questions

Combine predictions with experimental biology.

## Provenance and history

{
  "dates": {
    "eventDate": null,
    "publicationDate": "2021-07-22",
    "captureDate": null,
    "lastReviewedDate": "2026-09-05"
  },
  "provenance": {
    "origin": "legacy-projection",
    "externalId": "proteome"
  },
  "revisions": [],
  "corrections": []
}

## Original sources

- [Highly accurate protein structure prediction for the human proteome](https://www.nature.com/articles/s41586-021-03828-1)

## Continue exploring

- [Health & biology](https://brightaifuture.com/worlds/health)
- [What becomes possible when we can see and shape life’s machinery?](https://brightaifuture.com/threads/biology)
- [Extended story and historical record](https://brightaifuture.com/stories/a-broader-map-of-human-proteins)
- [Open this record in the interactive world](https://brightaifuture.com/?event=proteome)