An improved DNA-binding hot spot residues prediction method by exploring interfacial neighbor properties.

ABSTRACT:

Background

DNA-binding hot spots are dominant and fundamental residues that contribute most of the binding free energy yet accounting for a small portion of protein-DNA interfaces. As experimental methods for identifying hot spots are time-consuming and costly, high-efficiency computational approaches are emerging as alternative pathways to experimental methods.

Results

Herein, we present a new computational method, termed inpPDH, for hot spot prediction. To improve the prediction performance, we extract hybrid features which incorporate traditional features and new interfacial neighbor properties. To remove redundant and irrelevant features, feature selection is employed using a two-step feature selection strategy. Finally, a subset of 7 optimal features are chosen to const

SUBMITTER: Zhang S 

PROVIDER: S-EPMC8130120 | biostudies-literature | 2021 May

REPOSITORIES: biostudies-literature