Author: Bo Ram Beck; Bonggun Shin; Yoonjung Choi; Sungsoo Park; Keunsoo Kang
Title: Predicting commercially available antiviral drugs that may act on the novel coronavirus (2019-nCoV), Wuhan, China through a drug-target interaction deep learning model Document date: 2020_2_2
ID: cszqykpu_1
Snippet: Coronaviruses (CoVs), belonging to the family Coronaviridae, are positive-sense enveloped RNA viruses and cause infections in birds, mammals, and humans (1) (2) (3) . The family includes four genera, such as Alphacoronavirus, Betacoronavirus, Deltacoronavirus, and Gammacoronavirus (4) . Two infamous infectious coronaviruses in the genus Betacoronavirus are severe acute respiratory syndrome coronavirus (SARS-CoV) (5) and Middle East respiratory sy.....
Document: Coronaviruses (CoVs), belonging to the family Coronaviridae, are positive-sense enveloped RNA viruses and cause infections in birds, mammals, and humans (1) (2) (3) . The family includes four genera, such as Alphacoronavirus, Betacoronavirus, Deltacoronavirus, and Gammacoronavirus (4) . Two infamous infectious coronaviruses in the genus Betacoronavirus are severe acute respiratory syndrome coronavirus (SARS-CoV) (5) and Middle East respiratory syndrome coronavirus (MERS-CoV) (6) , which have infected more than 10,000 people around the world in the past two decades. Unfortunately, the incidence was accompanied by high mortality rates (9.6% for SARS-CoV and 34.4% for MERS-CoV), indicating that there is an urgent need for effective treatment at the beginning of the outbreak to prevent the spread (7, 8) . However, this cannot be achieved with current drug development or an application system, taking several years for newly developed drugs to come to the market.
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