Immunoinformatics-aided identification of T cell and B cell epitopes in the surface glycoprotein of 2019-nCoV.
Identifieur interne : 000817 ( Ncbi/Curation ); précédent : 000816; suivant : 000818Immunoinformatics-aided identification of T cell and B cell epitopes in the surface glycoprotein of 2019-nCoV.
Auteurs : Vargab Baruah [Inde] ; Sujoy Bose [Inde]Source :
- Journal of medical virology [ 1096-9071 ] ; 2020.
Abstract
The 2019 novel coronavirus (2019-nCoV) outbreak has caused a large number of deaths with thousands of confirmed cases worldwide, especially in East Asia. This study took an immunoinformatics approach to identify significant cytotoxic T lymphocyte (CTL) and B cell epitopes in the 2019-nCoV surface glycoprotein. Also, interactions between identified CTL epitopes and their corresponding major histocompatibility complex (MHC) class I supertype representatives prevalent in China were studied by molecular dynamics simulations. We identified five CTL epitopes, three sequential B cell epitopes and five discontinuous B cell epitopes in the viral surface glycoprotein. Also, during simulations, the CTL epitopes were observed to be binding MHC class I peptide-binding grooves via multiple contacts, with continuous hydrogen bonds and salt bridge anchors, indicating their potential in generating immune responses. Some of these identified epitopes can be potential candidates for the development of 2019-nCoV vaccines.
DOI: 10.1002/jmv.25698
PubMed: 32022276
Links toward previous steps (curation, corpus...)
- to stream PubMed, to step Corpus: Pour aller vers cette notice dans l'étape Curation :000582
- to stream PubMed, to step Curation: Pour aller vers cette notice dans l'étape Curation :000582
- to stream PubMed, to step Checkpoint: Pour aller vers cette notice dans l'étape Curation :000300
- to stream Ncbi, to step Merge: Pour aller vers cette notice dans l'étape Curation :000817
Links to Exploration step
pubmed:32022276Le document en format XML
<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">Immunoinformatics-aided identification of T cell and B cell epitopes in the surface glycoprotein of 2019-nCoV.</title>
<author><name sortKey="Baruah, Vargab" sort="Baruah, Vargab" uniqKey="Baruah V" first="Vargab" last="Baruah">Vargab Baruah</name>
<affiliation wicri:level="1"><nlm:affiliation>Department of Biotechnology, Gauhati University, Guwahati, Assam, India.</nlm:affiliation>
<country xml:lang="fr">Inde</country>
<wicri:regionArea>Department of Biotechnology, Gauhati University, Guwahati, Assam</wicri:regionArea>
<wicri:noRegion>Assam</wicri:noRegion>
</affiliation>
</author>
<author><name sortKey="Bose, Sujoy" sort="Bose, Sujoy" uniqKey="Bose S" first="Sujoy" last="Bose">Sujoy Bose</name>
<affiliation wicri:level="1"><nlm:affiliation>Department of Biotechnology, Gauhati University, Guwahati, Assam, India.</nlm:affiliation>
<country xml:lang="fr">Inde</country>
<wicri:regionArea>Department of Biotechnology, Gauhati University, Guwahati, Assam</wicri:regionArea>
<wicri:noRegion>Assam</wicri:noRegion>
</affiliation>
</author>
</titleStmt>
<publicationStmt><idno type="wicri:source">PubMed</idno>
<date when="2020">2020</date>
<idno type="RBID">pubmed:32022276</idno>
<idno type="pmid">32022276</idno>
<idno type="doi">10.1002/jmv.25698</idno>
<idno type="wicri:Area/PubMed/Corpus">000582</idno>
<idno type="wicri:explorRef" wicri:stream="PubMed" wicri:step="Corpus" wicri:corpus="PubMed">000582</idno>
<idno type="wicri:Area/PubMed/Curation">000582</idno>
<idno type="wicri:explorRef" wicri:stream="PubMed" wicri:step="Curation">000582</idno>
<idno type="wicri:Area/PubMed/Checkpoint">000300</idno>
<idno type="wicri:explorRef" wicri:stream="Checkpoint" wicri:step="PubMed">000300</idno>
<idno type="wicri:Area/Ncbi/Merge">000817</idno>
<idno type="wicri:Area/Ncbi/Curation">000817</idno>
</publicationStmt>
<sourceDesc><biblStruct><analytic><title xml:lang="en">Immunoinformatics-aided identification of T cell and B cell epitopes in the surface glycoprotein of 2019-nCoV.</title>
<author><name sortKey="Baruah, Vargab" sort="Baruah, Vargab" uniqKey="Baruah V" first="Vargab" last="Baruah">Vargab Baruah</name>
<affiliation wicri:level="1"><nlm:affiliation>Department of Biotechnology, Gauhati University, Guwahati, Assam, India.</nlm:affiliation>
<country xml:lang="fr">Inde</country>
<wicri:regionArea>Department of Biotechnology, Gauhati University, Guwahati, Assam</wicri:regionArea>
<wicri:noRegion>Assam</wicri:noRegion>
</affiliation>
</author>
<author><name sortKey="Bose, Sujoy" sort="Bose, Sujoy" uniqKey="Bose S" first="Sujoy" last="Bose">Sujoy Bose</name>
<affiliation wicri:level="1"><nlm:affiliation>Department of Biotechnology, Gauhati University, Guwahati, Assam, India.</nlm:affiliation>
<country xml:lang="fr">Inde</country>
<wicri:regionArea>Department of Biotechnology, Gauhati University, Guwahati, Assam</wicri:regionArea>
<wicri:noRegion>Assam</wicri:noRegion>
</affiliation>
</author>
</analytic>
<series><title level="j">Journal of medical virology</title>
<idno type="eISSN">1096-9071</idno>
<imprint><date when="2020" type="published">2020</date>
</imprint>
</series>
</biblStruct>
</sourceDesc>
</fileDesc>
<profileDesc><textClass></textClass>
</profileDesc>
</teiHeader>
<front><div type="abstract" xml:lang="en">The 2019 novel coronavirus (2019-nCoV) outbreak has caused a large number of deaths with thousands of confirmed cases worldwide, especially in East Asia. This study took an immunoinformatics approach to identify significant cytotoxic T lymphocyte (CTL) and B cell epitopes in the 2019-nCoV surface glycoprotein. Also, interactions between identified CTL epitopes and their corresponding major histocompatibility complex (MHC) class I supertype representatives prevalent in China were studied by molecular dynamics simulations. We identified five CTL epitopes, three sequential B cell epitopes and five discontinuous B cell epitopes in the viral surface glycoprotein. Also, during simulations, the CTL epitopes were observed to be binding MHC class I peptide-binding grooves via multiple contacts, with continuous hydrogen bonds and salt bridge anchors, indicating their potential in generating immune responses. Some of these identified epitopes can be potential candidates for the development of 2019-nCoV vaccines.</div>
</front>
</TEI>
</record>
Pour manipuler ce document sous Unix (Dilib)
EXPLOR_STEP=$WICRI_ROOT/Wicri/Sante/explor/CovidV1/Data/Ncbi/Curation
HfdSelect -h $EXPLOR_STEP/biblio.hfd -nk 000817 | SxmlIndent | more
Ou
HfdSelect -h $EXPLOR_AREA/Data/Ncbi/Curation/biblio.hfd -nk 000817 | SxmlIndent | more
Pour mettre un lien sur cette page dans le réseau Wicri
{{Explor lien |wiki= Wicri/Sante |area= CovidV1 |flux= Ncbi |étape= Curation |type= RBID |clé= pubmed:32022276 |texte= Immunoinformatics-aided identification of T cell and B cell epitopes in the surface glycoprotein of 2019-nCoV. }}
Pour générer des pages wiki
HfdIndexSelect -h $EXPLOR_AREA/Data/Ncbi/Curation/RBID.i -Sk "pubmed:32022276" \ | HfdSelect -Kh $EXPLOR_AREA/Data/Ncbi/Curation/biblio.hfd \ | NlmPubMed2Wicri -a CovidV1
This area was generated with Dilib version V0.6.33. |