About: Decoding asymptomatic COVID-19 infection and transmission

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About: Decoding asymptomatic COVID-19 infection and transmission Goto Sponge NotDistinct Permalink

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
title	Decoding asymptomatic COVID-19 infection and transmission
Creator	Wang, Rui Yin, Changchuan Chen, Jiahui Wei, Guo-Wei Hozumi, Yuta
source	ArXiv
abstract	Coronavirus disease 2019 (COVID-19) is a continuously devastating public health and the world economy. One of the major challenges in controlling the COVID-19 outbreak is its asymptomatic infection and transmission, which are elusive and defenseless in most situations. The pathogenicity and virulence of asymptomatic COVID-19 remain mysterious. Based on the genotyping of 20656 Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) genome isolates, we reveal that asymptomatic infection is linked to SARS-CoV-2 11083G>T mutation, i.e., leucine (L) to phenylalanine (F) substitution at the residue 37 (L37F) of nonstructure protein 6 (NSP6). By analyzing the distribution of 11083G>T in various countries, we unveil that 11083G>T may correlate with the hypotoxicity of SARS-CoV-2. Moreover, we show a global decaying tendency of the 11083G>T mutation ratio indicating that 11083G>T hinders SARS-CoV-2 transmission capacity. Sequence alignment found both NSP6 and residue 37 neighborhoods are relatively conservative over a few coronaviral species, indicating their importance in regulating host cell autophagy to undermine innate cellular defense against viral infection. Using machine learning and topological data analysis, we demonstrate that mutation L37F has made NSP6 energetically less stable. The rigidity and flexibility index and several network models suggest that mutation L37F may have compromised the NSP6 function, leading to a relatively weak SARS-CoV subtype. This assessment is a good agreement with our genotyping of SARS-CoV-2 evolution and transmission across various countries and regions over the past few months.
has issue date	2020-07-02(xsd:dateTime)
has license	arxiv
sha1sum (hex)	ebeb56cd62f70db5d563028aeb6f69659ff69bde
resource representing a document's title	Decoding asymptomatic COVID-19 infection and transmission
resource representing a document's body	covid:ebeb56cd62f70db5d563028aeb6f69659ff69bde#body_text
is schema:about of	named entity 'SARS-CoV-2' named entity 'SARS-CoV-2' named entity 'autophagy' named entity 'asymptomatic infection' named entity 'transmission' »more»

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