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 PRNAclass.rar 4,206.6 kB 2 08-Sep-2016 18:56 ZhipingLiu

This page (revision-6) was last changed on 03-Feb-2017 16:09 by ZhipingLiu

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* Last updated: September 8, 2016
* Last updated: Jan. 11, 2017
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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.
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.
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* 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.
* 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.
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4 08-Sep-2016 18:57 1.014 kB ZhipingLiu to previous | to last
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