Predicting commercially available antiviral drugs that may act on the novel coronavirus (SARS-CoV-2) through a drug-target interaction deep learning model
Identifieur interne : 000383 ( 2020/Analysis ); précédent : 000382; suivant : 000384Predicting commercially available antiviral drugs that may act on the novel coronavirus (SARS-CoV-2) through a drug-target interaction deep learning model
Auteurs : Bo Ram Beck [Corée du Sud] ; Bonggun Shin [Corée du Sud, États-Unis] ; Yoonjung Choi [Corée du Sud] ; Sungsoo Park [Corée du Sud] ; Keunsoo Kang [Corée du Sud]Source :
- Computational and Structural Biotechnology Journal [ 2001-0370 ] ; 2020.
Abstract
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.
Url:
DOI: 10.1016/j.csbj.2020.03.025
PubMed: 32280433
PubMed Central: 7118541
Affiliations:
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Daejeon</wicri:regionArea><wicri:noRegion>Daejeon</wicri:noRegion></affiliation></author><author><name sortKey="Shin, Bonggun" sort="Shin, Bonggun" uniqKey="Shin B" first="Bonggun" last="Shin">Bonggun Shin</name><affiliation wicri:level="1"><nlm:aff id="af005">Deargen, Inc., Daejeon, Republic of Korea</nlm:aff><country xml:lang="fr">Corée du Sud</country><wicri:regionArea>Deargen, Inc., Daejeon</wicri:regionArea><wicri:noRegion>Daejeon</wicri:noRegion></affiliation><affiliation wicri:level="2"><nlm:aff id="af010">Department of Computer Science, Emory University, Atlanta, GA, United States</nlm:aff><country xml:lang="fr">États-Unis</country><wicri:regionArea>Department of Computer Science, Emory University, Atlanta, GA</wicri:regionArea><placeName><region type="state">Géorgie (États-Unis)</region></placeName></affiliation></author><author><name sortKey="Choi, Yoonjung" sort="Choi, Yoonjung" uniqKey="Choi Y" first="Yoonjung" last="Choi">Yoonjung Choi</name><affiliation wicri:level="1"><nlm:aff id="af005">Deargen, Inc., Daejeon, Republic of Korea</nlm:aff><country xml:lang="fr">Corée du Sud</country><wicri:regionArea>Deargen, Inc., Daejeon</wicri:regionArea><wicri:noRegion>Daejeon</wicri:noRegion></affiliation></author><author><name sortKey="Park, Sungsoo" sort="Park, Sungsoo" uniqKey="Park S" first="Sungsoo" last="Park">Sungsoo Park</name><affiliation wicri:level="1"><nlm:aff id="af005">Deargen, Inc., Daejeon, Republic of Korea</nlm:aff><country xml:lang="fr">Corée du Sud</country><wicri:regionArea>Deargen, Inc., Daejeon</wicri:regionArea><wicri:noRegion>Daejeon</wicri:noRegion></affiliation></author><author><name sortKey="Kang, Keunsoo" sort="Kang, Keunsoo" uniqKey="Kang K" first="Keunsoo" last="Kang">Keunsoo Kang</name><affiliation wicri:level="1"><nlm:aff id="af015">Department of Microbiology, College of Natural Sciences, Dankook University, Cheonan, Republic of Korea</nlm:aff><country xml:lang="fr">Corée du Sud</country><wicri:regionArea>Department of Microbiology, College of Natural Sciences, Dankook University, Cheonan</wicri:regionArea><wicri:noRegion>Cheonan</wicri:noRegion></affiliation></author></analytic><series><title level="j">Computational and Structural Biotechnology Journal</title><idno type="eISSN">2001-0370</idno><imprint><date when="2020">2020</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en"><title>Highlights</title><p><list list-type="simple" id="l0005"><list-item id="o0005"><label>•</label><p id="p0005">The MT-DTI deep learning model was used to identify potent drugs for SARS-CoV-2.</p></list-item><list-item id="o0010"><label>•</label><p id="p0010">Atazanavir, remdesivir, and Kaletra were predicted to inhibit SARS-CoV-2.</p></list-item><list-item id="o0015"><label>•</label><p id="p0015">Rapamycin and tiotropium bromide may also be effective for 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Maxmen</name></author></analytic></biblStruct></listBibl></div1></back></TEI><affiliations><list><country><li>Corée du Sud</li><li>États-Unis</li></country><region><li>Géorgie (États-Unis)</li></region></list><tree><country name="Corée du Sud"><noRegion><name sortKey="Beck, Bo Ram" sort="Beck, Bo Ram" uniqKey="Beck B" first="Bo Ram" last="Beck">Bo Ram Beck</name></noRegion><name sortKey="Choi, Yoonjung" sort="Choi, Yoonjung" uniqKey="Choi Y" first="Yoonjung" last="Choi">Yoonjung Choi</name><name sortKey="Kang, Keunsoo" sort="Kang, Keunsoo" uniqKey="Kang K" first="Keunsoo" last="Kang">Keunsoo Kang</name><name sortKey="Park, Sungsoo" sort="Park, Sungsoo" uniqKey="Park S" first="Sungsoo" last="Park">Sungsoo Park</name><name sortKey="Shin, Bonggun" sort="Shin, Bonggun" uniqKey="Shin B" first="Bonggun" last="Shin">Bonggun Shin</name></country><country name="États-Unis"><region name="Géorgie (États-Unis)"><name sortKey="Shin, Bonggun" sort="Shin, Bonggun" uniqKey="Shin B" first="Bonggun" last="Shin">Bonggun Shin</name></region></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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|texte= Predicting commercially available antiviral drugs that may act on the novel coronavirus (SARS-CoV-2) through a drug-target interaction deep learning model
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