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BRIGHT EVIDENCE PACK / Demonstrated

Seeing the shape of life.

Researchers used AlphaFold to predict protein structures with accuracy competitive with experimental structures on many CASP14 targets. Bright's interactive p53 view uses a separate, later AlphaFold DB prediction: human p53 AF-P04637-F1 model v6, created on 2025-08-01.

Canonical Bright record · JSON evidence pack · Key-facts embed

Dates and assessment

Source published
2021-07-15
Bright published
2026-09-05
Substantive update
2026-09-25
Evidence state
Demonstrated
Independent verification
Not established by this source review
Last source review
2026-09-25

The claim in context

The human problem

A protein’s shape helps explain its function, but determining that shape can be difficult.

The prior constraint

Experimental structure determination required specialized instruments and substantial work.

AI’s actual role

A neural network integrated sequence and structural information to predict three-dimensional structure.

The documented result

The 2021 AlphaFold2 paper reported strong performance in the blind CASP14 assessment. On September 24, 2026, AlphaFold Database separately added high-confidence predictions covering 2,812 viral proteomes: 5,279 heterodimers and 2,749 homodimers, plus 4,681 high-confidence homodimers from the separate Viral Assembly Database collection.

Why it may matter

Researchers gained another way to investigate biological mechanisms. The later viral-pair resource gives pandemic-preparedness teams research hypotheses to inspect, prioritize and test experimentally.

Limitations

Original evidence

Attribution

Credit Bright AI Future and link the canonical Bright record.

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