A generic deep convolutional neural network framework for prediction of receptor–ligand interactions - NetPhosPan: application to kinase phosphorylation prediction

Emilio Fenoy; Jose M.G. Izarzugaza; Vanessa Jurtz; Søren Brunak; Morten Nielsen

doi:10.1093/bioinformatics/bty715

A generic deep convolutional neural network framework for prediction of receptor–ligand interactions - NetPhosPan: application to kinase phosphorylation prediction

Emilio Fenoy, Jose M.G. Izarzugaza, Vanessa Jurtz, Søren Brunak, Morten Nielsen

Disease Systems Biology Program

5 Citationer (Scopus)

Originalsprog	Engelsk
Tidsskrift	Bioinformatics
Vol/bind	35
Udgave nummer	7
Sider (fra-til)	1098-1107
ISSN	1367-4803
DOI	https://doi.org/10.1093/bioinformatics/bty715
Status	Udgivet - 1 apr. 2019

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10.1093/bioinformatics/bty715

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A generic deep convolutional neural network framework for prediction of receptor–ligand interactions - NetPhosPan: application to kinase phosphorylation prediction. / Fenoy, Emilio; Izarzugaza, Jose M.G.; Jurtz, Vanessa et al.
I: Bioinformatics, Bind 35, Nr. 7, 01.04.2019, s. 1098-1107.

Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › peer review

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AU - Brunak, Søren

AU - Nielsen, Morten

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A generic deep convolutional neural network framework for prediction of receptor–ligand interactions - NetPhosPan: application to kinase phosphorylation prediction

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