Predicting commercially available antiviral drugs that may act on the novel coronavirus (SARS-CoV-2) through a drug-target interaction deep learning model

•The MT-DTI deep learning model was used to identify potent drugs for SARS-CoV-2.•Atazanavir, remdesivir, and Kaletra were predicted to inhibit SARS-CoV-2.•Rapamycin and tiotropium bromide may also be effective for SARS-CoV-2. The infection of a novel coronavirus found in Wuhan of China (SARS-CoV-2)...

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Bibliographic Details
Published in:	Computational and structural biotechnology journal Vol. 18; pp. 784 - 790
Main Authors:	Beck, Bo Ram, Shin, Bonggun, Choi, Yoonjung, Park, Sungsoo, Kang, Keunsoo
Format:	Journal Article
Language:	English
Published:	Netherlands Elsevier B.V 01.01.2020 Research Network of Computational and Structural Biotechnology Elsevier
Subjects:	antiretroviral agents Atazanavir chemical compounds China Communications Coronavirus COVID-19 Deep learning Drug repurposing drug therapy drugs Human immunodeficiency virus MT-DTI Orthocoronavirinae prediction proteinases SARS-CoV-2 viral proteins China COVID-19 Deep learning SARS-CoV-2 Coronavirus Atazanavir Drug repurposing MT-DTI
ISSN:	2001-0370, 2001-0370
Online Access:	Get full text
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