Identification of hot regions in hub protein-protein interactions by clustering and PPRA optimization.

ABSTRACT:

Background

Protein-protein interactions (PPIs) are the core of protein function, which provide an effective means to understand the function at cell level. Identification of PPIs is the crucial foundation of predicting drug-target interactions. Although traditional biological experiments of identifying PPIs are becoming available, these experiments remain to be extremely time-consuming and expensive. Therefore, various computational models have been introduced to identify PPIs. In protein-protein interaction network (PPIN), Hub protein, as a highly connected node, can coordinate PPIs and play biological functions. Detecting hot regions on Hub protein interaction interfaces is an issue worthy of discussing.

Methods

Two clustering methods, LCSD and RCNOIK are used to detect th

SUBMITTER: Lin X 

PROVIDER: S-EPMC8094484 | biostudies-literature | 2021 May

REPOSITORIES: biostudies-literature