Systematic comparison and prediction of the effects of missense mutations on protein-DNA and protein-RNA interactions.

ABSTRACT: The binding affinities of protein-nucleic acid interactions could be altered due to missense mutations occurring in DNA- or RNA-binding proteins, therefore resulting in various diseases. Unfortunately, a systematic comparison and prediction of the effects of mutations on protein-DNA and protein-RNA interactions (these two mutation classes are termed MPDs and MPRs, respectively) is still lacking. Here, we demonstrated that these two classes of mutations could generate similar or different tendencies for binding free energy changes in terms of the properties of mutated residues. We then developed regression algorithms separately for MPDs and MPRs by introducing novel geometric partition-based energy features and interface-based structural features. Through feature selection and ensemble lear

SUBMITTER: Jiang Y 

PROVIDER: S-EPMC8084330 | biostudies-literature | 2021 Apr

REPOSITORIES: biostudies-literature