Identifying protein-protein interface via a novel multi-scale local sequence and structural representation.

ABSTRACT:

Background

Protein-protein interaction plays a key role in a multitude of biological processes, such as signal transduction, de novo drug design, immune responses, and enzymatic activities. Gaining insights of various binding abilities can deepen our understanding of the interaction. It is of great interest to understand how proteins in a complex interact with each other. Many efficient methods have been developed for identifying protein-protein interface.

Results

In this paper, we obtain the local information on protein-protein interface, through multi-scale local average block and hexagon structure construction. Given a pair of proteins, we use a trained support vector regression (SVR) model to select best configurations. On Benchmark v4.0, our method achieves average I

SUBMITTER: Guo F 

PROVIDER: S-EPMC6929278 | biostudies-literature | 2019 Dec

REPOSITORIES: biostudies-literature