About: Potentially highly potent drugs for 2019-nCoV

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An Entity of Type : schema:ScholarlyArticle, within Data Space : covidontheweb.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	Potentially highly potent drugs for 2019-nCoV
Creator	Wang, Rui Chen, Jiahui Duy Nguyen, Duc Gao, Kaifu Wei, Guo-Wei
Source	BioRxiv; MedRxiv; Medline
abstract	The World Health Organization (WHO) has declared the 2019 novel coronavirus (2019-nCoV) infection outbreak a global health emergency. Currently, there is no effective anti-2019-nCoV medication. The sequence identity of the 3CL proteases of 2019-nCoV and SARS is 96%, which provides a sound foundation for structural-based drug repositioning (SBDR). Based on a SARS 3CL protease X-ray crystal structure, we construct a 3D homology structure of 2019-nCoV 3CL protease. Based on this structure and existing experimental datasets for SARS 3CL protease inhibitors, we develop an SBDR model based on machine learning and mathematics to screen 1465 drugs in the DrugBank that have been approved by the U.S. Food and Drug Administration (FDA). We found that many FDA approved drugs are potentially highly potent to 2019-nCoV.
has issue date	2020-02-13(xsd:dateTime)
bibo:doi	10.1101/2020.02.05.936013
bibo:pmid	32511344
has license	biorxiv
sha1sum (hex)	0aff00101d5ccc6592987185ab833f95d842f98b
schema:url	https://doi.org/10.1101/2020.02.05.936013
resource representing a document's title	Potentially highly potent drugs for 2019-nCoV
has PubMed identifier	32511344
schema:publication	bioRxiv
resource representing a document's body	covid:0aff00101d5ccc6592987185ab833f95d842f98b#body_text
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