PRNAclass: Network-based classification of RNA-binding pockets reveals regional structure motifs of RNA recognition on protein surfaces

• Last updated: Jan. 11, 2017

Introduction#

This is a supporting materails webpage for our paper "Structure alignment-based classification of RNA-binding pockets reveals regional structure motifs of RNA recognition on protein surfaces". In the paper, we proposed a protein local structure multiple alignment algorithm and built a similarity-network-based classification strategy to identify the main groups of protein-RNA binding pockets. The dataset, source code and supporting materials are available here. Any question, please contact me via zpliu AT sdu.edu.cn.

Reference#

• Liu ZP, Liu S, Chen R, Huang X, Wu LY: Structure alignment-based classification of RNA-binding pockets reveals regional structure motifs of RNA recognition on protein surfaces. BMC Bioinformatics, Vol.18:27, 2017.

Data and Code#

• PRNAclass.rar