What is recorded here?
Predicted pathogenicity-related effects of missense variants and published a large set of predictions for human amino-acid substitutions.
Source-linked catalogue note. A detailed explanatory guide has not yet been prepared for this entry.
Scientific scope
Model classifications are predictions, not diagnoses or experimental validation of every variant. Clinical use requires additional evidence.
Read the original work
- Accurate proteome-wide missense variant effect prediction with AlphaMissense
- Accurate proteome-wide missense variant effect prediction with AlphaMissense — deposited bibliography
This English explanation is an editorial reading view. It does not replace the complete original work or certify its science.
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People and systems
Jun Cheng; Guido Novati; Joshua Pan; Clare Bycroft; Akvilė Žemgulytė; Taylor Applebaum; Alexander Pritzel; Lai Hong Wong; Michal Zielinski; Tobias Sargeant; Rosalia G. Schneider; Andrew W. Senior; John Jumper; Demis Hassabis; Pushmeet Kohli; Žiga Avsec
Full deposited paper byline or identified author of the scoped historical source. Association does not measure individual effort.
AlphaMissense · Google DeepMind · AlphaMissense
Variant-effect prediction; human-led model development and evaluation. Source-reported attribution; provider attestation is unavailable.
Research locations and affiliations
Documented mapping · Included in country comparison
Documented countries / regions: United Kingdom
Google DeepMind, London, UK.
English catalogue narrative
AlphaMissense: predicting the effects of protein-changing variants
Predicted pathogenicity-related effects of missense variants and published a large set of predictions for human amino-acid substitutions.
Scientific scope
Model classifications are predictions, not diagnoses or experimental validation of every variant. Clinical use requires additional evidence.
Reading status
This is a source-linked WRS catalogue note. A full explanatory guide and independent scientific reconstruction have not been completed for this entry. Read the identified original work for its complete narrative and arguments.
People and systems
Jun Cheng; Guido Novati; Joshua Pan; Clare Bycroft; Akvilė Žemgulytė; Taylor Applebaum; Alexander Pritzel; Lai Hong Wong; Michal Zielinski; Tobias Sargeant; Rosalia G. Schneider; Andrew W. Senior; John Jumper; Demis Hassabis; Pushmeet Kohli; Žiga Avsec
Full deposited paper byline or identified author of the scoped historical source. Association does not measure individual effort.
AlphaMissense / Google DeepMind / AlphaMissense: Variant-effect prediction; human-led model development and evaluation (source reported).