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

• Last updated: September 8, 2016

Introduction#

This is a supporting materails webpage for our paper "Network-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 questions, please contact me zpliu AT sdu.edu.cn.

Reference#

• Liu ZP, Liu S, Chen R, Huang X, Wu LY: Network-based classification of RNA-binding pockets reveals regional structure motifs of RNA recognition on protein surfaces. In submission, 2016.

Data and Code#

• PRNAclass.rar