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A broader map of human proteins.

Researchers applied AlphaFold to a broad collection of human proteins.

Original sources ↓ · Revision history ↓

Demonstrated · source published 2021-07-22

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.

Source history & evidence assessment
Maturity
Demonstrated
Claim confidence
unassessed
Event date
Not recorded
Source published
2021-07-22
Captured
Not recorded
Last source review
2026-09-05
Editorial method
Original source check
Place / relevance
Hinxton, United Kingdom · institution-location

Legacy source check; no named human reviewer is recorded in this projection.

Maturity describes the tested or operational setting. Confidence describes support for the particular claim; one does not determine the other.

Original sources

Highly accurate protein structure prediction for the human proteome · paper

Institutions: DeepMind & EMBL-EBI

Explore the underlying question

Related developments

Editorial connections between distinct settings and results; these links do not imply replication.

Seeing the shape of life.

Seeing molecules together.

Revision & correction history

No corrections recorded.