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ABSTRACT: Motivation
Structure-based stability prediction upon mutation is crucial for protein engineering and design, and for understanding genetic diseases or drug resistance events. For this task, we adopted a simple residue-based orientational potential that considers only three backbone atoms, previously applied in protein modeling. Its application to stability prediction only requires parametrizing 12 amino acid-dependent weights using cross-validation strategies on a curated dataset in which we tried to reduce the mutations that belong to protein-protein or protein-ligand interfaces, extreme conditions and the alanine over-representation.Results
Our method, called KORPM, accurately predicts mutational effects on an independent benchmark dataset, whether the wild-type or mutate
SUBMITTER: Hernandez IM
PROVIDER: S-EPMC9850275 | biostudies-literature | 2023 Jan
REPOSITORIES: biostudies-literature