Download
9e9114aa-0f54-4b1f-af59-ba43301e9273_22357_-_sheng_chen_v2.pdf 4,35MB
WeightNameValue
1000 Titel
  • Genomic and protein structure modelling analysis depicts the origin and pathogenicity of 2019-nCoV, a new coronavirus which caused a pneumonia outbreak in Wuhan, China
1000 Autor/in
  1. Dong, Ning |
  2. YANG, Xuemei |
  3. Ye, Lianwei |
  4. Chen, Kaichao |
  5. Chan, Edward Wai-Chi |
  6. Chen, Sheng |
1000 Erscheinungsjahr 2020
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2020-02-18
1000 Erschienen in
1000 Quellenangabe
  • 9:121
1000 Copyrightjahr
  • 2020
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.12688/f1000research.22357.2 |
1000 Ergänzendes Material
  • https://doi.org/10.6084/m9.figshare.11848224 |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • BACKGROUND: A pandemic outbreak caused by a novel coronavirus, 2019-nCoV, has originated from Wuhan, China and spread to many countries around the world. The outbreak has led to around 45 thousand cases and over one thousand death so far. METHODS: Phylogenetic analysis and sequence alignment were used to align the whole genome sequence of 2019-nCoV with other over 200 sequences of coronaviruses to predict the origin of this novel virus. In addition, protein modeling and analysis were performed to access the potential binding of the spike protein of 2019-nCoV with human cell receptor, angiotensin-converting enzyme 2 (ACE2). RESULTS: Detailed genomic and structure-based analysis of a new coronavirus, namely 2019-nCoV, showed that the new virus is a new type of bat coronavirus and is genetically fairly distant from the human SARS coronavirus. Structure analysis of the spike (S) protein of this new virus showed that its S protein only binds much weaker to the ACE2 receptor on human cells whereas the human SARS coronavirus exhibits strongly affinity to the ACE receptor. CONCLUSIONS: These findings suggest that the new virus should theoretically not be able to cause very serious human infection when compared to human SARS virus. However, the lower pathogenicity of this new virus may lead to longer incubation time and better adaption to human, which may favor its efficient transmission in human. These data are important to guide design of infection control policy and inform the public on the nature of threat imposed by 2019-nCov. Most importantly, using the analysis platform that we have developed, we should be able to predict whether the new mutations could lead to the increase of infectivity of the mutated virus in a very short time.
1000 Sacherschließung
gnd 1206347392 COVID-19
lokal Genomics
lokal Wuhan
lokal Origin
lokal Protein modelling
lokal 2019-nCoV
lokal Pathogenicity
1000 Fächerklassifikation (DDC)
1000 Liste der Beteiligten
  1. https://frl.publisso.de/adhoc/uri/RG9uZywgTmluZw==|https://orcid.org/0000-0003-4005-978X|https://frl.publisso.de/adhoc/uri/WWUsIExpYW53ZWk=|https://frl.publisso.de/adhoc/uri/Q2hlbiwgS2FpY2hhbw==|https://frl.publisso.de/adhoc/uri/Q2hhbiwgRWR3YXJkIFdhaS1DaGk=|https://orcid.org/0000-0003-3526-7808
1000 Hinweis
  • First published: 18 Feb 2020, 9:121. https://doi.org/10.12688/f1000research.22357.1
1000 Label
1000 Fördernummer
  1. -
1000 Förderprogramm
  1. -
1000 Dateien
1000 Objektart article
1000 Beschrieben durch
1000 @id frl:6423826.rdf
1000 Erstellt am 2020-10-29T17:27:56.281+0100
1000 Erstellt von 218
1000 beschreibt frl:6423826
1000 Bearbeitet von 25
1000 Zuletzt bearbeitet Fri Nov 06 08:56:52 CET 2020
1000 Objekt bearb. Fri Nov 06 08:56:41 CET 2020
1000 Vgl. frl:6423826
1000 Oai Id
  1. oai:frl.publisso.de:frl:6423826 |
1000 Sichtbarkeit Metadaten public
1000 Sichtbarkeit Daten public
1000 Gegenstand von

View source