Structure alignment-based classification of RNA-binding pockets reveals regional RNA recognition motifs on protein surfaces.

ABSTRACT:

Background

Many critical biological processes are strongly related to protein-RNA interactions. Revealing the protein structure motifs for RNA-binding will provide valuable information for deciphering protein-RNA recognition mechanisms and benefit complementary structural design in bioengineering. RNA-binding events often take place at pockets on protein surfaces. The structural classification of local binding pockets determines the major patterns of RNA recognition.

Results

In this work, we provide a novel framework for systematically identifying the structure motifs of protein-RNA binding sites in the form of pockets on regional protein surfaces via a structure alignment-based method. We first construct a similarity network of RNA-binding pockets based on a non-sequential-

SUBMITTER: Liu ZP 

PROVIDER: S-EPMC5225598 | biostudies-literature | 2017 Jan

REPOSITORIES: biostudies-literature