Deep learning reveals many more inter-protein residue-residue contacts than direct coupling analysis

Tian Ming Zhou; Sheng Wang; Jinbo Xu

Deep learning reveals many more inter-protein residue-residue contacts than direct coupling analysis

Tian Ming Zhou, Sheng Wang, Jinbo Xu^*

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Original language	English (US)
Title of host publication	Research in Computational Molecular Biology - 22nd Annual International Conference, RECOMB 2018, Proceedings
Publisher	Springer-Verlag
Pages	295-296
Number of pages	2
ISBN (Print)	9783319899282
State	Published - Jan 1 2018
Event	22nd International Conference on Research in Computational Molecular Biology, RECOMB 2018 - Paris, France Duration: Apr 21 2018 → Apr 24 2018

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	10812 LNBI
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	22nd International Conference on Research in Computational Molecular Biology, RECOMB 2018
Country	France
City	Paris
Period	04/21/18 → 04/24/18

ASJC Scopus subject areas

Theoretical Computer Science
Computer Science(all)

Cite this

Zhou, T. M., Wang, S., & Xu, J. (2018). Deep learning reveals many more inter-protein residue-residue contacts than direct coupling analysis. In Research in Computational Molecular Biology - 22nd Annual International Conference, RECOMB 2018, Proceedings (pp. 295-296). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10812 LNBI). Springer-Verlag.

Zhou, Tian Ming ; Wang, Sheng ; Xu, Jinbo. / Deep learning reveals many more inter-protein residue-residue contacts than direct coupling analysis. Research in Computational Molecular Biology - 22nd Annual International Conference, RECOMB 2018, Proceedings. Springer-Verlag, 2018. pp. 295-296 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{c18c1ba2ddc3410d8e94b5ac1ec1600d,

title = "Deep learning reveals many more inter-protein residue-residue contacts than direct coupling analysis",

author = "Zhou, {Tian Ming} and Sheng Wang and Jinbo Xu",

year = "2018",

month = jan,

day = "1",

language = "English (US)",

isbn = "9783319899282",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

publisher = "Springer-Verlag",

pages = "295--296",

booktitle = "Research in Computational Molecular Biology - 22nd Annual International Conference, RECOMB 2018, Proceedings",

note = "22nd International Conference on Research in Computational Molecular Biology, RECOMB 2018 ; Conference date: 21-04-2018 Through 24-04-2018",

}

Zhou, TM, Wang, S & Xu, J 2018, Deep learning reveals many more inter-protein residue-residue contacts than direct coupling analysis. in Research in Computational Molecular Biology - 22nd Annual International Conference, RECOMB 2018, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 10812 LNBI, Springer-Verlag, pp. 295-296, 22nd International Conference on Research in Computational Molecular Biology, RECOMB 2018, Paris, France, 04/21/18.

Deep learning reveals many more inter-protein residue-residue contacts than direct coupling analysis. / Zhou, Tian Ming; Wang, Sheng; Xu, Jinbo.

Research in Computational Molecular Biology - 22nd Annual International Conference, RECOMB 2018, Proceedings. Springer-Verlag, 2018. p. 295-296 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10812 LNBI).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Deep learning reveals many more inter-protein residue-residue contacts than direct coupling analysis

AU - Zhou, Tian Ming

AU - Wang, Sheng

AU - Xu, Jinbo

PY - 2018/1/1

Y1 - 2018/1/1

UR - http://www.scopus.com/inward/record.url?scp=85046153644&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:85046153644

SN - 9783319899282

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 295

EP - 296

BT - Research in Computational Molecular Biology - 22nd Annual International Conference, RECOMB 2018, Proceedings

PB - Springer-Verlag

T2 - 22nd International Conference on Research in Computational Molecular Biology, RECOMB 2018

Y2 - 21 April 2018 through 24 April 2018

ER -

Zhou TM, Wang S, Xu J. Deep learning reveals many more inter-protein residue-residue contacts than direct coupling analysis. In Research in Computational Molecular Biology - 22nd Annual International Conference, RECOMB 2018, Proceedings. Springer-Verlag. 2018. p. 295-296. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

Deep learning reveals many more inter-protein residue-residue contacts than direct coupling analysis

Publication series

Conference

ASJC Scopus subject areas

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