Inferring the molecular and phenotypic impact of amino acid variants with MutPred2

Abstract

Identifying variants capable of causing genetic disease is challenging. The authors use semisupervised learning to predict pathogenic missense variants and their impacts on protein structure and function, enabling a molecular mechanism-driven approach to studying different types of human disease.