English
AlphaMissense is an open source protein variant effect prediction model that can predict functional effects for all possible human amino acid substitutions. It uses deep learning to make predictions at the protein sequence level and does not require experimental structural information. AlphaMissense can accurately predict the functional impact of pathogenic variants verified by cell experiments, which is of great significance for drug design and genetic disease research.
Demand group:
["Drug Design", "Genetic Disease Research", "Protein Engineering"]
Example of usage scenario:
Use AlphaMissense to predict unknown mutations in the BRCA1 gene and determine their pathogenicity
Using AlphaMissense to predict the impact of amino acid substitutions on ligand affinity in GPCR receptor proteins
Design of BRCA1 protein variants for structural biology research based on AlphaMissense results
Product features:
Predicting the functional impact of amino acid substitutions using deep learning
No protein structure information is required, prediction is based only on sequence
Provides predictions for all possible human amino acid substitutions
