About: Use of the informational spectrum methodology for rapid biological analysis of the novel coronavirus 2019-nCoV: prediction of potential receptor, natural reservoir, tropism and therapeutic/vaccine target

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About: Use of the informational spectrum methodology for rapid biological analysis of the novel coronavirus 2019-nCoV: prediction of potential receptor, natural reservoir, tropism and therapeutic/vaccine target Goto Sponge NotDistinct Permalink

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

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type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
title	Use of the informational spectrum methodology for rapid biological analysis of the novel coronavirus 2019-nCoV: prediction of potential receptor, natural reservoir, tropism and therapeutic/vaccine target
Creator	Paessler, Slobodan Segalés, Joaquim Vergara-Alert, Júlia Veljkovic, Veljko
topic	covid:bbc8b65f5849c2007f27b94a1ddcf83598f645ee#this
source	Medline; PMC; WHO
abstract	A novel coronavirus recently identified in Wuhan, China (SARS-CoV-2) has expanded the number of highly pathogenic coronaviruses affecting humans. The SARS-CoV-2 represents a potential epidemic or pandemic threat, which requires a quick response for preparedness against this infection. The present report uses the informational spectrum methodology to identify the possible origin and natural host of the new virus, as well as putative therapeutic and vaccine targets. The performed in silico analysis indicates that the newly emerging SARS-CoV-2 is closely related to severe acute respiratory syndrome (SARS)-CoV and, to a lesser degree, Middle East respiratory syndrome (MERS)-CoV. Moreover, the well-known SARS-CoV receptor (ACE2) might be a putative receptor for the novel virus as well. Actin protein was also suggested as a host factor that participates in cell entry and pathogenesis of SARS-CoV-2; therefore, drugs modulating biological activity of this protein (e.g. ibuprofen) were suggested as potential candidates for treatment of this viral infection. Additional results indicated that civets and poultry are potential candidates for the natural reservoir of the SARS-CoV-2, and that domain 288-330 of S1 protein from the SARS-CoV-2 represents promising therapeutic and/or vaccine target.
has issue date	2020-04-27(xsd:dateTime)
bibo:doi	10.12688/f1000research.22149.3
bibo:pmid	32419926
has license	cc-by
sha1sum (hex)	bbc8b65f5849c2007f27b94a1ddcf83598f645ee
schema:url	https://doi.org/10.12688/f1000research.22149.3
resource representing a document's title	Use of the informational spectrum methodology for rapid biological analysis of the novel coronavirus 2019-nCoV: prediction of potential receptor, natural reservoir, tropism and therapeutic/vaccine target
has PubMed Central identifier	PMC7202090
has PubMed identifier	32419926
schema:publication	F1000Res
resource representing a document's body	covid:bbc8b65f5849c2007f27b94a1ddcf83598f645ee#body_text
is http://vocab.deri.ie/void#inDataset of	proxy:http/ns.inria.fr/covid19/bbc8b65f5849c2007f27b94a1ddcf83598f645ee
is schema:about of	named entity 'degree' named entity 'SARS-CoV-2' named entity 'suggested' named entity 'pathogenesis' named entity 'therapeutic' named entity 'PANDEMIC' named entity 'BIOLOGICAL ACTIVITY' named entity 'TREATMENT' named entity 'PRESENT' named entity 'DEGREE' named entity 'SARS-COV-2' named entity 'SPECTRUM' named entity 'EPIDEMIC' named entity 'protein' named entity 'severe acute respiratory syndrome (SARS)' named entity 'highly' named entity 'host factor' named entity 'represents' named entity 'vaccine' named entity 'SARS-CoV-2' named entity 'identify' named entity '2019-nCoV' named entity 'coronaviruses' named entity 'MERS' named entity 'natural reservoir' named entity 'China' named entity 'biological activity' named entity 'SARS-CoV-2' named entity 'pathogenesis' named entity 'Actin' named entity 'Middle East respiratory syndrome' named entity 'poultry' named entity 'Wuhan' named entity 'protein' named entity 'tropism' named entity 'peer review' named entity 'natural reservoir' named entity 'ACE2' named entity 'SARS-CoV-2' named entity 'SARS-CoV-2' named entity 'nucleotides' named entity 'viruses' named entity 'nucleotide sequences' named entity 'Sequence homology' named entity 'actin' named entity 'SARS-CoV-2' named entity 'intermolecular interactions' named entity 'SARS-CoV-2' named entity 'infection' named entity 'SARS-CoV-2' named entity 'Wuhan' named entity 'Wuhan' named entity 'MERS-CoV' named entity 'SARS-CoV' named entity 'SARS-CoV-2' named entity 'actin' named entity 'database' named entity 'interleukin-1β' named entity 'Fourier transformation' named entity 'sequence analysis' named entity 'WHO' named entity 'data mining' named entity 'actin' named entity 'SARS-CoV' named entity 'nucleotide sequence' named entity 'virus' named entity 'coronavirus' named entity 'infectious agents' named entity 'ACE2' named entity 'ACE2' named entity 'database' named entity 'SARS-CoV' named entity 'FDA' named entity 'amino acid' named entity 'poultry' named entity 'protein'

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