(Q84367629)

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Predicting commercially available antiviral drugs that may act on the novel coronavirus (2019-nCoV), Wuhan, China through a drug-target interaction deep learning model

scientific article published on 2 February 2020

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Predicting commercially available antiviral drugs that may act on the novel coronavirus (2019-nCoV), Wuhan, China through a drug-target interaction deep learning model (English)

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Bo Ram Beck

1

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Bonggun Shin

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2

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Yoonjung Choi

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3

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Sungsoo Park

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4

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Keunsoo Kang

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5

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publication date

2 February 2020

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published in

bioRxiv

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10.1101/2020.01.31.929547

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1124494081

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stated in

Dimensions COVID-19 publications, datasets and clinical trials

DOI

10.6084/M9.FIGSHARE.11961063

retrieved

28 May 2020

Semantic Scholar corpus ID

213587930

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(Q84367629)

Predicting commercially available antiviral drugs that may act on the novel coronavirus (2019-nCoV), Wuhan, China through a drug-target interaction deep learning model

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