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.
Revision & correction history
No corrections recorded.
