About: COVID-3D: An online resource to explore the structural distribution of genetic variation in SARS-CoV-2 and its implication on therapeutic development

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About: COVID-3D: An online resource to explore the structural distribution of genetic variation in SARS-CoV-2 and its implication on therapeutic development Goto Sponge NotDistinct Permalink

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-3D: An online resource to explore the structural distribution of genetic variation in SARS-CoV-2 and its implication on therapeutic development
Creator	Rodrigues, Carlos Olshansky, Moshe Alavi, Azadeh Ascher, David D'souza, Elston Myung, Yoochan Pires, Douglas Portelli, Stephanie Silk, Michael
source	BioRxiv
abstract	The emergence of the COVID-19 pandemic has spurred a global rush to uncover basic biological mechanisms, to inform effective vaccine and drug development. Despite viral novelty, global sequencing efforts have already identified genomic variation across isolates. To enable easy exploration and spatial visualization of the potential implications of SARS-CoV-2 mutations on infection, host immunity and drug development we have developed COVID-3D (http://biosig.unimelb.edu.au/covid3d/).
has issue date	2020-05-30(xsd:dateTime)
bibo:doi	10.1101/2020.05.29.124610
has license	biorxiv
sha1sum (hex)	df461b9d50fff05cf31bde43f1eddf3feec4dc01
schema:url	https://doi.org/10.1101/2020.05.29.124610
resource representing a document's title	COVID-3D: An online resource to explore the structural distribution of genetic variation in SARS-CoV-2 and its implication on therapeutic development
schema:publication	bioRxiv
resource representing a document's body	covid:df461b9d50fff05cf31bde43f1eddf3feec4dc01#body_text
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