https://scholars.lib.ntu.edu.tw/handle/123456789/573116
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Chen T.-F | en_US |
dc.contributor.author | Chang Y.-C | en_US |
dc.contributor.author | Hsiao Y | en_US |
dc.contributor.author | Lee K.-H | en_US |
dc.contributor.author | Hsiao Y.-C | en_US |
dc.contributor.author | Lin Y.-H | en_US |
dc.contributor.author | Tu Y.-C.E | en_US |
dc.contributor.author | Huang H.-C | en_US |
dc.contributor.author | Chen C.-Y | en_US |
dc.contributor.author | CHIEN-YU CHEN | en_US |
dc.contributor.author | Juan, H.-F. | en_US |
dc.creator | Chen T.-F;Chang Y.-C;Hsiao Y;Lee K.-H;Hsiao Y.-C;Lin Y.-H;Tu Y.-C.E;Huang H.-C;Chen C.-Y;Juan H.-F. | - |
dc.date.accessioned | 2021-07-26T10:01:31Z | - |
dc.date.available | 2021-07-26T10:01:31Z | - |
dc.date.issued | 2021 | - |
dc.identifier.issn | 3051048 | - |
dc.identifier.uri | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85099428918&doi=10.1093%2fnar%2fgkaa861&partnerID=40&md5=3a968a2101d47b4906f791bc1cd82fe5 | - |
dc.identifier.uri | https://scholars.lib.ntu.edu.tw/handle/123456789/573116 | - |
dc.description.abstract | The current state of the COVID-19 pandemic is a global health crisis. To fight the novel coronavirus, one of the best-known ways is to block enzymes essential for virus replication. Currently, we know that the SARS-CoV-2 virus encodes about 29 proteins such as spike protein, 3C-like protease (3CLpro), RNA-dependent RNA polymerase (RdRp), Papain-like protease (PLpro), and nucleocapsid (N) protein. SARS-CoV-2 uses human angiotensin-converting enzyme 2 (ACE2) for viral entry and transmembrane serine protease family member II (TMPRSS2) for spike protein priming. Thus in order to speed up the discovery of potential drugs, we develop DockCoV2, a drug database for SARS-CoV-2. DockCoV2 focuses on predicting the binding affinity of FDA-approved and Taiwan National Health Insurance (NHI) drugs with the seven proteins mentioned above. This database contains a total of 3,109 drugs. DockCoV2 is easy to use and search against, is well cross-linked to external databases, and provides the state-of-the-art prediction results in one site. Users can download their drug-protein docking data of interest and examine additional drug-related information on DockCoV2. Furthermore, DockCoV2 provides experimental information to help users understand which drugs have already been reported to be effective against MERS or SARS-CoV. DockCoV2 is available at https://covirus.cc/drugs/. ? 2021 The Author(s) 2020. Published by Oxford University Press on behalf of Nucleic Acids Research. | - |
dc.relation.ispartof | Nucleic Acids Research | - |
dc.subject | angiotensin converting enzyme 2; coronavirus 3C protease; coronavirus papain-like protease; coronavirus RNA dependent RNA polymerase; transmembrane protease serine 2; antivirus agent; protein binding; viral protein; Article; binding affinity; controlled study; cross linking; data processing; DockCoV2; drug database; drug repositioning; high throughput screening; human; information processing; ligand binding; molecular docking; Severe acute respiratory syndrome coronavirus 2; surface area; virtual reality; virus entry; virus nucleocapsid; chemistry; data mining; drug database; drug effect; drug therapy; epidemiology; Internet; metabolism; molecular model; pandemic; physiology; procedures; protein domain; virology; virus replication; Antiviral Agents; COVID-19; Data Curation; Data Mining; Databases, Pharmaceutical; Humans; Internet; Models, Molecular; Pandemics; Protein Binding; Protein Domains; SARS-CoV-2; Viral Proteins; Virus Replication | - |
dc.subject.classification | [SDGs]SDG3 | - |
dc.subject.other | angiotensin converting enzyme 2; coronavirus 3C protease; coronavirus papain-like protease; coronavirus RNA dependent RNA polymerase; transmembrane protease serine 2; antivirus agent; protein binding; viral protein; Article; binding affinity; controlled study; cross linking; data processing; DockCoV2; drug database; drug repositioning; high throughput screening; human; information processing; ligand binding; molecular docking; Severe acute respiratory syndrome coronavirus 2; surface area; virtual reality; virus entry; virus nucleocapsid; chemistry; data mining; drug database; drug effect; drug therapy; epidemiology; Internet; metabolism; molecular model; pandemic; physiology; procedures; protein domain; virology; virus replication; Antiviral Agents; COVID-19; Data Curation; Data Mining; Databases, Pharmaceutical; Humans; Internet; Models, Molecular; Pandemics; Protein Binding; Protein Domains; SARS-CoV-2; Viral Proteins; Virus Replication | - |
dc.title | DockCoV2: A drug database against SARS-CoV-2 | en_US |
dc.type | journal article | en |
dc.identifier.doi | 10.1093/nar/gkaa861 | - |
dc.identifier.pmid | 33035337 | - |
dc.identifier.scopus | 2-s2.0-85099428918 | - |
dc.relation.pages | D1152-D1159 | - |
dc.relation.journalvolume | 49 | - |
dc.relation.journalissue | D1 | - |
item.openairecristype | http://purl.org/coar/resource_type/c_6501 | - |
item.grantfulltext | none | - |
item.fulltext | no fulltext | - |
item.openairetype | journal article | - |
item.cerifentitytype | Publications | - |
crisitem.author.dept | Biomechatronics Engineering | - |
crisitem.author.dept | Center for Biotechnology | - |
crisitem.author.dept | Genome and Systems Biology Degree Program | - |
crisitem.author.dept | Molecular and Cellular Biology | - |
crisitem.author.dept | Life Science | - |
crisitem.author.dept | Genome and Systems Biology Degree Program | - |
crisitem.author.dept | Office of Research and Development | - |
crisitem.author.orcid | 0000-0002-6940-6389 | - |
crisitem.author.orcid | 0000-0003-4876-3309 | - |
crisitem.author.parentorg | College of Bioresources and Agriculture | - |
crisitem.author.parentorg | Others: University-Level Research Centers | - |
crisitem.author.parentorg | College of Life Science | - |
crisitem.author.parentorg | College of Life Science | - |
crisitem.author.parentorg | College of Life Science | - |
crisitem.author.parentorg | College of Life Science | - |
crisitem.author.parentorg | Administrative Unit | - |
Appears in Collections: | 生物機電工程學系 |
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