The structure-based cancer-related single amino acid variation prediction.

ABSTRACT: Single amino acid variation (SAV) is an amino acid substitution of the protein sequence that can potentially influence the entire protein structure or function, as well as its binding affinity. Protein destabilization is related to diseases, including several cancers, although using traditional experiments to clarify the relationship between SAVs and cancer uses much time and resources. Some SAV prediction methods use computational approaches, with most predicting SAV-induced changes in protein stability. In this investigation, all SAV characteristics generated from protein sequences, structures and the microenvironment were converted into feature vectors and fed into an integrated predicting system using a support vector machine and genetic algorithm. Critical features were used to estima

SUBMITTER: Liu JJ 

PROVIDER: S-EPMC8245468 | biostudies-literature | 2021 Jun

REPOSITORIES: biostudies-literature