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AlphaMissense

Predicts the functional impacts of all possible human amino acid substitutions and missense mutations

CommonProductOthersDeep LearningDevelopment Programming

AlphaMissense is an open-source protein variant effect prediction model that predicts theFunctional impact of all possible human amino acid substitutions. It employs deep learning to predict at the protein sequence level without requiring experimental structural information. AlphaMissense can accurately predict the functional impacts of pathogenic variants that have been verified by cell experiments, which is significant for drug design and the study of genetic diseases.

AlphaMissense

Predicts the functional impact of amino acid substitutions using deep learning
No protein structural information needed; predictions are based solely on sequences
Provides predictions for all possible human amino acid substitutions

Drug Design
Study of Genetic Diseases
Protein Engineering

Predicting the pathogenicity of unknown variants in the BRCA1 gene using AlphaMissense
Predicting the effect of amino acid substitutions on ligand affinity in GPCR receptor proteins using AlphaMissense
Designing BRCA1 protein variants for structural biology research based on the results of AlphaMissense

AlphaMissense Visit Over Time

Monthly Visits

499904316

Bounce Rate

37.31%

Page per Visit

5.8

Visit Duration

00:06:52

AlphaMissense Visit Trend

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