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 Citations (Scopus)

Original language	English
Journal	Bioinformatics
Volume	35
Issue number	7
Pages (from-to)	1098-1107
ISSN	1367-4803
DOIs	https://doi.org/10.1093/bioinformatics/bty715
Publication status	Published - 1 Apr 2019

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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.
In: Bioinformatics, Vol. 35, No. 7, 01.04.2019, p. 1098-1107.

Research output: Contribution to journal › Journal article › Research › peer-review

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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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