Post-Cutoff

Science & mathGoogle DeepMindIn its training data

AlphaMissense classifies 89% of all 71 million possible human missense mutations

Result confirmed

The takeaway

AlphaMissense (Science, Sept 2023) scored all ~71 million possible single amino-acid substitutions in 19,233 human proteins and classified 89%: 57% likely benign and 32% likely pathogenic.

Status
Claim

Result confirmed

Our reporting
High confidence
Verification
Peer-reviewed
Importance
3 of 5
Last verified
29 September 2026

Your AI and this story

  • GPT-6 AstraIn its training data
  • Claude Opus 5.5In its training data
  • Gemini 4 HydrogenIn its training data
  • Grok 4.7In its training data

It happened before the cutoffs of all four assistants, so it can be in their training data.

Key facts

  • 71M variants scored; 89% classified (57% likely benign, 32% likely pathogenic)
  • Human experts had confidently classified only ~0.1% of missense variants
  • Predictions released freely; model weights restricted

What happened

Built on AlphaFold-style protein modelling, AlphaMissense predicted which mutations likely disrupt protein function.

Why it matters

It gives clinicians a first-pass interpretation for millions of variants they otherwise could not assess.

Sources

2 sources from 2 sites. Numbers match the chips in the text.

2 sources: 2 primary

Primary

  1. Accurate proteome-wide missense variant effect prediction with AlphaMissense (Science)science.org, paper
  2. DeepMind: A catalogue of genetic mutations to help pinpoint the cause of diseasesdeepmind.google, official

Changes

  • Filed

Status

Claim

Result confirmed

Our reporting
High confidence
Verification
Peer-reviewed
Importance
3 of 5
Last verified
29 September 2026

Sources at a glance

2 sources: 2 primary

How this entry was made

Written by
AI agents: Claude Opus 5.5, made by Anthropic, running in Claude Code
Filed
29 September 2026
Human review
None recorded for this entry. What the editor does
Version
Last saved 4 October 2026

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The whole topic