Computer aided prediction and identification of potential epitopes in the receptor binding domain (RBD) of spike (S) glycoprotein of MERS-CoV.
Identifieur interne : 001838 ( PubMed/Curation ); précédent : 001837; suivant : 001839Computer aided prediction and identification of potential epitopes in the receptor binding domain (RBD) of spike (S) glycoprotein of MERS-CoV.
Auteurs : Mohammad Tuhin Ali [Bangladesh] ; Mohammed Monzur Morshed [Bangladesh] ; Md Amran Gazi [Bangladesh] ; Md Abu Musa [Bangladesh] ; Md Golam Kibria [Bangladesh] ; Md Jashim Uddin [Bangladesh] ; Md Anik Ashfaq Khan [Bangladesh] ; Shihab Hasan [Australie]Source :
- Bioinformation [ 0973-2063 ] ; 2014.
Abstract
Middle East Respiratory Syndrome Coronavirus (MERS-CoV) belongs to the coronaviridae family. In spite of several outbreaks in the very recent years, no vaccine against this deadly virus is developed yet. In this study, the receptor binding domain (RBD) of Spike (S) glycoprotein of MERS-CoV was analyzed through Computational Immunology approach to identify the antigenic determinants (epitopes). In order to do so, the sequences of S glycoprotein that belong to different geographical regions were aligned to observe the conservancy of MERS-CoV RBD. The immune parameters of this region were determined using different in silico tools and Immune Epitope Database (IEDB). Molecular docking study was also employed to check the affinity of the potential epitope towards the binding cleft of the specific HLA allele. The N-terminus RBD (S367-S606) of S glycoprotein was found to be conserved among all the available strains of MERS-CoV. Based on the lower IC50 value, a total of eight potential T-cell epitopes and 19 major histocompatibility complex (MHC) class-I alleles were identified for this conserved region. A 9-mer epitope CYSSLILDY displayed interactions with the maximum number of MHC class-I molecules and projected the highest peak in the B-cell antigenicity plot which concludes that it could be a better choice for designing an epitope based peptide vaccine against MERSCoV considering that it must undergo further in vitro and in vivo experiments. Moreover, in molecular docking study, this epitope was found to have a significant binding affinity of -8.5 kcal/mol towards the binding cleft of the HLA-C*12:03 molecule.
DOI: 10.6026/97320630010533
PubMed: 25258490
Links toward previous steps (curation, corpus...)
- to stream PubMed, to step Corpus: Pour aller vers cette notice dans l'étape Curation :001838
Links to Exploration step
pubmed:25258490Le document en format XML
<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">Computer aided prediction and identification of potential epitopes in the receptor binding domain (RBD) of spike (S) glycoprotein of MERS-CoV.</title>
<author><name sortKey="Ali, Mohammad Tuhin" sort="Ali, Mohammad Tuhin" uniqKey="Ali M" first="Mohammad Tuhin" last="Ali">Mohammad Tuhin Ali</name>
<affiliation wicri:level="1"><nlm:affiliation>Department of Biochemistry and Molecular Biology, University of Dhaka, Bangladesh.</nlm:affiliation>
<country xml:lang="fr">Bangladesh</country>
<wicri:regionArea>Department of Biochemistry and Molecular Biology, University of Dhaka</wicri:regionArea>
</affiliation>
</author>
<author><name sortKey="Morshed, Mohammed Monzur" sort="Morshed, Mohammed Monzur" uniqKey="Morshed M" first="Mohammed Monzur" last="Morshed">Mohammed Monzur Morshed</name>
<affiliation wicri:level="1"><nlm:affiliation>Department of Biochemistry and Molecular Biology, University of Dhaka, Bangladesh.</nlm:affiliation>
<country xml:lang="fr">Bangladesh</country>
<wicri:regionArea>Department of Biochemistry and Molecular Biology, University of Dhaka</wicri:regionArea>
</affiliation>
</author>
<author><name sortKey="Gazi, Md Amran" sort="Gazi, Md Amran" uniqKey="Gazi M" first="Md Amran" last="Gazi">Md Amran Gazi</name>
<affiliation wicri:level="1"><nlm:affiliation>Laboratory Science Division, International Centre for Diarrhoeal Disease Research, Dhaka, Bangladesh.</nlm:affiliation>
<country xml:lang="fr">Bangladesh</country>
<wicri:regionArea>Laboratory Science Division, International Centre for Diarrhoeal Disease Research, Dhaka</wicri:regionArea>
</affiliation>
</author>
<author><name sortKey="Musa, Md Abu" sort="Musa, Md Abu" uniqKey="Musa M" first="Md Abu" last="Musa">Md Abu Musa</name>
<affiliation wicri:level="1"><nlm:affiliation>Laboratory Science Division, International Centre for Diarrhoeal Disease Research, Dhaka, Bangladesh.</nlm:affiliation>
<country xml:lang="fr">Bangladesh</country>
<wicri:regionArea>Laboratory Science Division, International Centre for Diarrhoeal Disease Research, Dhaka</wicri:regionArea>
</affiliation>
</author>
<author><name sortKey="Kibria, Md Golam" sort="Kibria, Md Golam" uniqKey="Kibria M" first="Md Golam" last="Kibria">Md Golam Kibria</name>
<affiliation wicri:level="1"><nlm:affiliation>Laboratory Science Division, International Centre for Diarrhoeal Disease Research, Dhaka, Bangladesh.</nlm:affiliation>
<country xml:lang="fr">Bangladesh</country>
<wicri:regionArea>Laboratory Science Division, International Centre for Diarrhoeal Disease Research, Dhaka</wicri:regionArea>
</affiliation>
</author>
<author><name sortKey="Uddin, Md Jashim" sort="Uddin, Md Jashim" uniqKey="Uddin M" first="Md Jashim" last="Uddin">Md Jashim Uddin</name>
<affiliation wicri:level="1"><nlm:affiliation>Laboratory Science Division, International Centre for Diarrhoeal Disease Research, Dhaka, Bangladesh.</nlm:affiliation>
<country xml:lang="fr">Bangladesh</country>
<wicri:regionArea>Laboratory Science Division, International Centre for Diarrhoeal Disease Research, Dhaka</wicri:regionArea>
</affiliation>
</author>
<author><name sortKey="Khan, Md Anik Ashfaq" sort="Khan, Md Anik Ashfaq" uniqKey="Khan M" first="Md Anik Ashfaq" last="Khan">Md Anik Ashfaq Khan</name>
<affiliation wicri:level="1"><nlm:affiliation>Laboratory Science Division, International Centre for Diarrhoeal Disease Research, Dhaka, Bangladesh.</nlm:affiliation>
<country xml:lang="fr">Bangladesh</country>
<wicri:regionArea>Laboratory Science Division, International Centre for Diarrhoeal Disease Research, Dhaka</wicri:regionArea>
</affiliation>
</author>
<author><name sortKey="Hasan, Shihab" sort="Hasan, Shihab" uniqKey="Hasan S" first="Shihab" last="Hasan">Shihab Hasan</name>
<affiliation wicri:level="1"><nlm:affiliation>Bioinformatics Lab, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia ; School of Medicine, The University of Queensland (UQ), Brisbane, Queensland, Australia.</nlm:affiliation>
<country xml:lang="fr">Australie</country>
<wicri:regionArea>Bioinformatics Lab, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia ; School of Medicine, The University of Queensland (UQ), Brisbane, Queensland</wicri:regionArea>
</affiliation>
</author>
</titleStmt>
<publicationStmt><idno type="wicri:source">PubMed</idno>
<date when="2014">2014</date>
<idno type="RBID">pubmed:25258490</idno>
<idno type="pmid">25258490</idno>
<idno type="doi">10.6026/97320630010533</idno>
<idno type="wicri:Area/PubMed/Corpus">001838</idno>
<idno type="wicri:explorRef" wicri:stream="PubMed" wicri:step="Corpus" wicri:corpus="PubMed">001838</idno>
<idno type="wicri:Area/PubMed/Curation">001838</idno>
<idno type="wicri:explorRef" wicri:stream="PubMed" wicri:step="Curation">001838</idno>
</publicationStmt>
<sourceDesc><biblStruct><analytic><title xml:lang="en">Computer aided prediction and identification of potential epitopes in the receptor binding domain (RBD) of spike (S) glycoprotein of MERS-CoV.</title>
<author><name sortKey="Ali, Mohammad Tuhin" sort="Ali, Mohammad Tuhin" uniqKey="Ali M" first="Mohammad Tuhin" last="Ali">Mohammad Tuhin Ali</name>
<affiliation wicri:level="1"><nlm:affiliation>Department of Biochemistry and Molecular Biology, University of Dhaka, Bangladesh.</nlm:affiliation>
<country xml:lang="fr">Bangladesh</country>
<wicri:regionArea>Department of Biochemistry and Molecular Biology, University of Dhaka</wicri:regionArea>
</affiliation>
</author>
<author><name sortKey="Morshed, Mohammed Monzur" sort="Morshed, Mohammed Monzur" uniqKey="Morshed M" first="Mohammed Monzur" last="Morshed">Mohammed Monzur Morshed</name>
<affiliation wicri:level="1"><nlm:affiliation>Department of Biochemistry and Molecular Biology, University of Dhaka, Bangladesh.</nlm:affiliation>
<country xml:lang="fr">Bangladesh</country>
<wicri:regionArea>Department of Biochemistry and Molecular Biology, University of Dhaka</wicri:regionArea>
</affiliation>
</author>
<author><name sortKey="Gazi, Md Amran" sort="Gazi, Md Amran" uniqKey="Gazi M" first="Md Amran" last="Gazi">Md Amran Gazi</name>
<affiliation wicri:level="1"><nlm:affiliation>Laboratory Science Division, International Centre for Diarrhoeal Disease Research, Dhaka, Bangladesh.</nlm:affiliation>
<country xml:lang="fr">Bangladesh</country>
<wicri:regionArea>Laboratory Science Division, International Centre for Diarrhoeal Disease Research, Dhaka</wicri:regionArea>
</affiliation>
</author>
<author><name sortKey="Musa, Md Abu" sort="Musa, Md Abu" uniqKey="Musa M" first="Md Abu" last="Musa">Md Abu Musa</name>
<affiliation wicri:level="1"><nlm:affiliation>Laboratory Science Division, International Centre for Diarrhoeal Disease Research, Dhaka, Bangladesh.</nlm:affiliation>
<country xml:lang="fr">Bangladesh</country>
<wicri:regionArea>Laboratory Science Division, International Centre for Diarrhoeal Disease Research, Dhaka</wicri:regionArea>
</affiliation>
</author>
<author><name sortKey="Kibria, Md Golam" sort="Kibria, Md Golam" uniqKey="Kibria M" first="Md Golam" last="Kibria">Md Golam Kibria</name>
<affiliation wicri:level="1"><nlm:affiliation>Laboratory Science Division, International Centre for Diarrhoeal Disease Research, Dhaka, Bangladesh.</nlm:affiliation>
<country xml:lang="fr">Bangladesh</country>
<wicri:regionArea>Laboratory Science Division, International Centre for Diarrhoeal Disease Research, Dhaka</wicri:regionArea>
</affiliation>
</author>
<author><name sortKey="Uddin, Md Jashim" sort="Uddin, Md Jashim" uniqKey="Uddin M" first="Md Jashim" last="Uddin">Md Jashim Uddin</name>
<affiliation wicri:level="1"><nlm:affiliation>Laboratory Science Division, International Centre for Diarrhoeal Disease Research, Dhaka, Bangladesh.</nlm:affiliation>
<country xml:lang="fr">Bangladesh</country>
<wicri:regionArea>Laboratory Science Division, International Centre for Diarrhoeal Disease Research, Dhaka</wicri:regionArea>
</affiliation>
</author>
<author><name sortKey="Khan, Md Anik Ashfaq" sort="Khan, Md Anik Ashfaq" uniqKey="Khan M" first="Md Anik Ashfaq" last="Khan">Md Anik Ashfaq Khan</name>
<affiliation wicri:level="1"><nlm:affiliation>Laboratory Science Division, International Centre for Diarrhoeal Disease Research, Dhaka, Bangladesh.</nlm:affiliation>
<country xml:lang="fr">Bangladesh</country>
<wicri:regionArea>Laboratory Science Division, International Centre for Diarrhoeal Disease Research, Dhaka</wicri:regionArea>
</affiliation>
</author>
<author><name sortKey="Hasan, Shihab" sort="Hasan, Shihab" uniqKey="Hasan S" first="Shihab" last="Hasan">Shihab Hasan</name>
<affiliation wicri:level="1"><nlm:affiliation>Bioinformatics Lab, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia ; School of Medicine, The University of Queensland (UQ), Brisbane, Queensland, Australia.</nlm:affiliation>
<country xml:lang="fr">Australie</country>
<wicri:regionArea>Bioinformatics Lab, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia ; School of Medicine, The University of Queensland (UQ), Brisbane, Queensland</wicri:regionArea>
</affiliation>
</author>
</analytic>
<series><title level="j">Bioinformation</title>
<idno type="ISSN">0973-2063</idno>
<imprint><date when="2014" type="published">2014</date>
</imprint>
</series>
</biblStruct>
</sourceDesc>
</fileDesc>
<profileDesc><textClass></textClass>
</profileDesc>
</teiHeader>
<front><div type="abstract" xml:lang="en">Middle East Respiratory Syndrome Coronavirus (MERS-CoV) belongs to the coronaviridae family. In spite of several outbreaks in the very recent years, no vaccine against this deadly virus is developed yet. In this study, the receptor binding domain (RBD) of Spike (S) glycoprotein of MERS-CoV was analyzed through Computational Immunology approach to identify the antigenic determinants (epitopes). In order to do so, the sequences of S glycoprotein that belong to different geographical regions were aligned to observe the conservancy of MERS-CoV RBD. The immune parameters of this region were determined using different in silico tools and Immune Epitope Database (IEDB). Molecular docking study was also employed to check the affinity of the potential epitope towards the binding cleft of the specific HLA allele. The N-terminus RBD (S367-S606) of S glycoprotein was found to be conserved among all the available strains of MERS-CoV. Based on the lower IC50 value, a total of eight potential T-cell epitopes and 19 major histocompatibility complex (MHC) class-I alleles were identified for this conserved region. A 9-mer epitope CYSSLILDY displayed interactions with the maximum number of MHC class-I molecules and projected the highest peak in the B-cell antigenicity plot which concludes that it could be a better choice for designing an epitope based peptide vaccine against MERSCoV considering that it must undergo further in vitro and in vivo experiments. Moreover, in molecular docking study, this epitope was found to have a significant binding affinity of -8.5 kcal/mol towards the binding cleft of the HLA-C*12:03 molecule. </div>
</front>
</TEI>
<pubmed><MedlineCitation Status="PubMed-not-MEDLINE" Owner="NLM"><PMID Version="1">25258490</PMID>
<DateCompleted><Year>2014</Year>
<Month>09</Month>
<Day>26</Day>
</DateCompleted>
<DateRevised><Year>2018</Year>
<Month>11</Month>
<Day>13</Day>
</DateRevised>
<Article PubModel="Electronic-eCollection"><Journal><ISSN IssnType="Print">0973-2063</ISSN>
<JournalIssue CitedMedium="Print"><Volume>10</Volume>
<Issue>8</Issue>
<PubDate><Year>2014</Year>
</PubDate>
</JournalIssue>
<Title>Bioinformation</Title>
<ISOAbbreviation>Bioinformation</ISOAbbreviation>
</Journal>
<ArticleTitle>Computer aided prediction and identification of potential epitopes in the receptor binding domain (RBD) of spike (S) glycoprotein of MERS-CoV.</ArticleTitle>
<Pagination><MedlinePgn>533-8</MedlinePgn>
</Pagination>
<ELocationID EIdType="doi" ValidYN="Y">10.6026/97320630010533</ELocationID>
<Abstract><AbstractText>Middle East Respiratory Syndrome Coronavirus (MERS-CoV) belongs to the coronaviridae family. In spite of several outbreaks in the very recent years, no vaccine against this deadly virus is developed yet. In this study, the receptor binding domain (RBD) of Spike (S) glycoprotein of MERS-CoV was analyzed through Computational Immunology approach to identify the antigenic determinants (epitopes). In order to do so, the sequences of S glycoprotein that belong to different geographical regions were aligned to observe the conservancy of MERS-CoV RBD. The immune parameters of this region were determined using different in silico tools and Immune Epitope Database (IEDB). Molecular docking study was also employed to check the affinity of the potential epitope towards the binding cleft of the specific HLA allele. The N-terminus RBD (S367-S606) of S glycoprotein was found to be conserved among all the available strains of MERS-CoV. Based on the lower IC50 value, a total of eight potential T-cell epitopes and 19 major histocompatibility complex (MHC) class-I alleles were identified for this conserved region. A 9-mer epitope CYSSLILDY displayed interactions with the maximum number of MHC class-I molecules and projected the highest peak in the B-cell antigenicity plot which concludes that it could be a better choice for designing an epitope based peptide vaccine against MERSCoV considering that it must undergo further in vitro and in vivo experiments. Moreover, in molecular docking study, this epitope was found to have a significant binding affinity of -8.5 kcal/mol towards the binding cleft of the HLA-C*12:03 molecule. </AbstractText>
</Abstract>
<AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Ali</LastName>
<ForeName>Mohammad Tuhin</ForeName>
<Initials>MT</Initials>
<AffiliationInfo><Affiliation>Department of Biochemistry and Molecular Biology, University of Dhaka, Bangladesh.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Morshed</LastName>
<ForeName>Mohammed Monzur</ForeName>
<Initials>MM</Initials>
<AffiliationInfo><Affiliation>Department of Biochemistry and Molecular Biology, University of Dhaka, Bangladesh.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Gazi</LastName>
<ForeName>Md Amran</ForeName>
<Initials>MA</Initials>
<AffiliationInfo><Affiliation>Laboratory Science Division, International Centre for Diarrhoeal Disease Research, Dhaka, Bangladesh.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Musa</LastName>
<ForeName>Md Abu</ForeName>
<Initials>MA</Initials>
<AffiliationInfo><Affiliation>Laboratory Science Division, International Centre for Diarrhoeal Disease Research, Dhaka, Bangladesh.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Kibria</LastName>
<ForeName>Md Golam</ForeName>
<Initials>MG</Initials>
<AffiliationInfo><Affiliation>Laboratory Science Division, International Centre for Diarrhoeal Disease Research, Dhaka, Bangladesh.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Uddin</LastName>
<ForeName>Md Jashim</ForeName>
<Initials>MJ</Initials>
<AffiliationInfo><Affiliation>Laboratory Science Division, International Centre for Diarrhoeal Disease Research, Dhaka, Bangladesh.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Khan</LastName>
<ForeName>Md Anik Ashfaq</ForeName>
<Initials>MA</Initials>
<AffiliationInfo><Affiliation>Laboratory Science Division, International Centre for Diarrhoeal Disease Research, Dhaka, Bangladesh.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Hasan</LastName>
<ForeName>Shihab</ForeName>
<Initials>S</Initials>
<AffiliationInfo><Affiliation>Bioinformatics Lab, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia ; School of Medicine, The University of Queensland (UQ), Brisbane, Queensland, Australia.</Affiliation>
</AffiliationInfo>
</Author>
</AuthorList>
<Language>eng</Language>
<PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType>
</PublicationTypeList>
<ArticleDate DateType="Electronic"><Year>2014</Year>
<Month>08</Month>
<Day>30</Day>
</ArticleDate>
</Article>
<MedlineJournalInfo><Country>Singapore</Country>
<MedlineTA>Bioinformation</MedlineTA>
<NlmUniqueID>101258255</NlmUniqueID>
<ISSNLinking>0973-2063</ISSNLinking>
</MedlineJournalInfo>
<KeywordList Owner="NOTNLM"><Keyword MajorTopicYN="N">Epitope</Keyword>
<Keyword MajorTopicYN="N">HLA ligand</Keyword>
<Keyword MajorTopicYN="N">MERS-CoV</Keyword>
<Keyword MajorTopicYN="N">Receptor Binding Domain</Keyword>
<Keyword MajorTopicYN="N">Spike glycoprotein</Keyword>
</KeywordList>
</MedlineCitation>
<PubmedData><History><PubMedPubDate PubStatus="received"><Year>2014</Year>
<Month>06</Month>
<Day>23</Day>
</PubMedPubDate>
<PubMedPubDate PubStatus="revised"><Year>2014</Year>
<Month>07</Month>
<Day>07</Day>
</PubMedPubDate>
<PubMedPubDate PubStatus="accepted"><Year>2014</Year>
<Month>07</Month>
<Day>08</Day>
</PubMedPubDate>
<PubMedPubDate PubStatus="entrez"><Year>2014</Year>
<Month>9</Month>
<Day>27</Day>
<Hour>6</Hour>
<Minute>0</Minute>
</PubMedPubDate>
<PubMedPubDate PubStatus="pubmed"><Year>2014</Year>
<Month>9</Month>
<Day>27</Day>
<Hour>6</Hour>
<Minute>0</Minute>
</PubMedPubDate>
<PubMedPubDate PubStatus="medline"><Year>2014</Year>
<Month>9</Month>
<Day>27</Day>
<Hour>6</Hour>
<Minute>1</Minute>
</PubMedPubDate>
</History>
<PublicationStatus>epublish</PublicationStatus>
<ArticleIdList><ArticleId IdType="pubmed">25258490</ArticleId>
<ArticleId IdType="doi">10.6026/97320630010533</ArticleId>
<ArticleId IdType="pii">97320630010533</ArticleId>
<ArticleId IdType="pmc">PMC4166774</ArticleId>
</ArticleIdList>
<ReferenceList><Reference><Citation>Mol Syst Biol. 2011 Oct 11;7:539</Citation>
<ArticleIdList><ArticleId IdType="pubmed">21988835</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>J Virol. 2013 Sep;87(17):9939-42</Citation>
<ArticleIdList><ArticleId IdType="pubmed">23824801</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Cell Res. 2013 Aug;23(8):986-93</Citation>
<ArticleIdList><ArticleId IdType="pubmed">23835475</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>J Comput Chem. 2009 Dec;30(16):2785-91</Citation>
<ArticleIdList><ArticleId IdType="pubmed">19399780</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>J Infect Dis. 2014 May 1;209(9):1331-42</Citation>
<ArticleIdList><ArticleId IdType="pubmed">24065148</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Immunogenetics. 1999 Nov;50(3-4):213-9</Citation>
<ArticleIdList><ArticleId IdType="pubmed">10602881</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>BMC Bioinformatics. 2005 May 31;6:132</Citation>
<ArticleIdList><ArticleId IdType="pubmed">15927070</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>BMC Bioinformatics. 2007 Sep 26;8:361</Citation>
<ArticleIdList><ArticleId IdType="pubmed">17897458</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Nat Rev Microbiol. 2009 Mar;7(3):226-36</Citation>
<ArticleIdList><ArticleId IdType="pubmed">19198616</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>BMC Bioinformatics. 2007 Oct 31;8:424</Citation>
<ArticleIdList><ArticleId IdType="pubmed">17973982</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>PLoS Pathog. 2013;9(9):e1003595</Citation>
<ArticleIdList><ArticleId IdType="pubmed">24039577</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Bioinformatics. 2003 May 22;19(8):1009-14</Citation>
<ArticleIdList><ArticleId IdType="pubmed">12761064</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>FEBS Lett. 1990 Dec 10;276(1-2):172-4</Citation>
<ArticleIdList><ArticleId IdType="pubmed">1702393</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Nature. 2013 Mar 14;495(7440):251-4</Citation>
<ArticleIdList><ArticleId IdType="pubmed">23486063</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>J Immunol. 2003 Aug 15;171(4):1741-9</Citation>
<ArticleIdList><ArticleId IdType="pubmed">12902473</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>J Comput Chem. 2010 Jan 30;31(2):455-61</Citation>
<ArticleIdList><ArticleId IdType="pubmed">19499576</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Cell Mol Life Sci. 2005 May;62(9):1025-37</Citation>
<ArticleIdList><ArticleId IdType="pubmed">15868101</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Science. 2003 May 30;300(5624):1394-9</Citation>
<ArticleIdList><ArticleId IdType="pubmed">12730500</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>J Gen Virol. 1988 Dec;69 ( Pt 12):2939-52</Citation>
<ArticleIdList><ArticleId IdType="pubmed">3058868</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Eur J Immunol. 2005 Aug;35(8):2295-303</Citation>
<ArticleIdList><ArticleId IdType="pubmed">15997466</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Lancet Infect Dis. 2013 Sep;13(9):752-61</Citation>
<ArticleIdList><ArticleId IdType="pubmed">23891402</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Microbiol Mol Biol Rev. 2005 Dec;69(4):635-64</Citation>
<ArticleIdList><ArticleId IdType="pubmed">16339739</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Immunol Cell Biol. 2002 Jun;80(3):248-54</Citation>
<ArticleIdList><ArticleId IdType="pubmed">12067412</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>J Infect. 2013 May;66(5):464-6</Citation>
<ArticleIdList><ArticleId IdType="pubmed">23266463</ArticleId>
</ArticleIdList>
</Reference>
</ReferenceList>
</PubmedData>
</pubmed>
</record>
Pour manipuler ce document sous Unix (Dilib)
EXPLOR_STEP=$WICRI_ROOT/Sante/explor/MersV1/Data/PubMed/Curation
HfdSelect -h $EXPLOR_STEP/biblio.hfd -nk 001838 | SxmlIndent | more
Ou
HfdSelect -h $EXPLOR_AREA/Data/PubMed/Curation/biblio.hfd -nk 001838 | SxmlIndent | more
Pour mettre un lien sur cette page dans le réseau Wicri
{{Explor lien |wiki= Sante |area= MersV1 |flux= PubMed |étape= Curation |type= RBID |clé= pubmed:25258490 |texte= Computer aided prediction and identification of potential epitopes in the receptor binding domain (RBD) of spike (S) glycoprotein of MERS-CoV. }}
Pour générer des pages wiki
HfdIndexSelect -h $EXPLOR_AREA/Data/PubMed/Curation/RBID.i -Sk "pubmed:25258490" \ | HfdSelect -Kh $EXPLOR_AREA/Data/PubMed/Curation/biblio.hfd \ | NlmPubMed2Wicri -a MersV1
![]() | This area was generated with Dilib version V0.6.33. | ![]() |