ComplexContact: a web server for inter-protein contact prediction using deep learning-Reference-Cited by-同舟云学术

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ComplexContact: a web server for inter-protein contact prediction using deep learning

Published:2018-05-22 Issue:W1 Volume:46 Page:W432-W437
ISSN:0305-1048
Container-title:Nucleic Acids Research
language:en
Short-container-title:

Author:

Zeng Hong¹,Wang Sheng²³,Zhou Tianming³⁴,Zhao Feifeng¹,Li Xiufeng¹,Wu Qing¹,Xu Jinbo³

Affiliation:

1. School of Computer Science and Technology, Hangzhou Dianzi University, China

2. King Abdullah University of Science and Technology (KAUST), Saudi Arabia

3. Toyota Technological Institute at Chicago, USA

4. Institute for Interdisciplinary Information Sciences, Tsinghua University, China

Funder

National Institutes of Health

National Science Foundation

Publisher

Oxford University Press (OUP)

Subject

Genetics

Link

http://academic.oup.com/nar/article-pdf/46/W1/W432/25110594/gky420.pdf

Reference40 articles.

1. Principles of protein-protein interactions;Jones;Proc. Natl. Acad. Sci. U.S.A.,1996

2. Modeling protein–protein and protein–peptide complexes: CAPRI 6th edition;Lensink;Proteins: Struct. Funct. Bioinform.,2017

3. Interactome3D: adding structural details to protein networks;Mosca;Nat. Methods,2013

4. Robust and accurate prediction of residue–residue interactions across protein interfaces using evolutionary information;Ovchinnikov;Elife,2014

5. Sequence co-evolution gives 3D contacts and structures of protein complexes;Hopf;Elife,2014

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