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#
Category: Supplementary
Add new attachment
Only authorized users are allowed to upload new attachments.
List of attachments
Kind | Attachment Name | Size | Version | Date Modified | Author | Change note |
---|---|---|---|---|---|---|
rar |
PRNAclass.rar | 4,206.6 kB | 2 | 08-Sep-2016 18:56 | ZhipingLiu |
«
This particular version was published on 12-Jan-2017 12:55 by ZhipingLiu.
JSPWiki v2.11.3