About: COVID-19: CADD to the rescue

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

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
title	COVID-19: CADD to the rescue
Creator	Adegoke, Rukayat Akinde, Fatimo Kolapo, Temitope Onawole, Abdulmujeeb Sulaiman, Kazeem
source	Elsevier; Medline; PMC
abstract	The recent outbreak of the deadly COVID-19 disease, being caused by the novel coronavirus (SARS-CoV-2), has put the world on red alert as it keeps spreading and recording more fatalities. Research efforts are being carried out to curtail the disease from spreading as it has been declared as of global health emergency. Hence, there is an exigent need to identify and design drugs that are capable of curing the infection and hinder its continual spread across the globe. Herein, a computer-aided drug design tool known as the virtual screening method was used to screen a database of 44 million compounds to find compounds that have the potential to inhibit the surface glycoprotein responsible for virus entry and binding. The consensus scoring approach selected three compounds with promising physicochemical properties and favorable molecular interactions with the target protein. These selected compounds can undergo lead optimization to be further developed as drugs that can be used in treating the COVID-19 disease.
has issue date	2020-05-15(xsd:dateTime)
bibo:doi	10.1016/j.virusres.2020.198022
bibo:pmid	32417181
has license	no-cc
sha1sum (hex)	6f306de73534e79de7b1db4372aa58e2cdd4a2f5
schema:url	https://doi.org/10.1016/j.virusres.2020.198022
resource representing a document's title	COVID-19: CADD to the rescue
has PubMed Central identifier	PMC7228740
has PubMed identifier	32417181
schema:publication	Virus Res
resource representing a document's body	covid:6f306de73534e79de7b1db4372aa58e2cdd4a2f5#body_text
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