Computational identification of binding energy hot spots in protein–RNA complexes using an ensemble approach-Reference-Cited by-同舟云学术

Computational identification of binding energy hot spots in protein–RNA complexes using an ensemble approach

Published:2017-12-21 Issue:9 Volume:34 Page:1473-1480
ISSN:1367-4803
Container-title:Bioinformatics
language:en
Short-container-title:

Author:

Pan Yuliang¹,Wang Zixiang¹,Zhan Weihua²,Deng Lei¹³

Affiliation:

1. School of Software, Central South University, Changsha, China

2. School of Electronics and Computer Science, Zhejiang Wanli University, Ningbo, China

3. Shanghai Key Laboratory of Intelligent Information Processing, Fudan University, Shanghai, China

Funder

National Natural Science Foundation of China

Shanghai Key Laboratory of Intelligent Information Processing

Publisher

Oxford University Press (OUP)

Subject

Computational Mathematics,Computational Theory and Mathematics,Computer Science Applications,Molecular Biology,Biochemistry,Statistics and Probability

Link

http://academic.oup.com/bioinformatics/article-pdf/34/9/1473/25120810/btx822.pdf

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2. Network analysis of protein structures identifies functional residues;Amitai;J. Mol. Biol,2004

3. Probing binding hot spots at protein–RNA recognition sites;Barik;Nucleic Acids Res,2016

4. Random forests;Breiman;Mach. Learn,2001

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