In silico identification of vaccine targets for 2019-nCoV
Identifieur interne : 000A55 ( Main/Exploration ); précédent : 000A54; suivant : 000A56In silico identification of vaccine targets for 2019-nCoV
Auteurs : Chloe Hyun-Jung Lee [Royaume-Uni] ; Hashem Koohy [Royaume-Uni]Source :
- F1000Research [ 2046-1402 ] ; 2020.
Descripteurs français
- KwdFr :
- Antigène HLA-A2 (immunologie), Biologie informatique, Humains, Infections à coronavirus (), Infections à coronavirus (immunologie), Lymphocytes T CD8+ (immunologie), Pandémies, Peptides (immunologie), Pneumopathie virale, Protéines virales (immunologie), Protéome, Séquence d'acides aminés, Vaccins antiviraux (immunologie), Épitopes (immunologie).
- MESH :
English descriptors
- KwdEn :
- Amino Acid Sequence, Betacoronavirus (immunology), CD8-Positive T-Lymphocytes (immunology), Computational Biology, Coronavirus Infections (immunology), Coronavirus Infections (prevention & control), Epitopes (immunology), HLA-A2 Antigen (immunology), Humans, Pandemics, Peptides (immunology), Pneumonia, Viral, Proteome, Viral Proteins (immunology), Viral Vaccines (immunology).
- MESH :
- chemical , immunology : Epitopes, HLA-A2 Antigen, Peptides, Viral Proteins, Viral Vaccines.
- immunology : Betacoronavirus, CD8-Positive T-Lymphocytes, Coronavirus Infections.
- prevention & control : Coronavirus Infections.
- Amino Acid Sequence, Computational Biology, Humans, Pandemics, Pneumonia, Viral, Proteome.
Abstract
Url:
DOI: 10.12688/f1000research.22507.1
PubMed: 32269766
PubMed Central: 7111504
Affiliations:
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Le document en format XML
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identification of vaccine targets for 2019-nCoV</title>
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identification of vaccine targets for 2019-nCoV</title>
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<author><name sortKey="Koohy, Hashem" sort="Koohy, Hashem" uniqKey="Koohy H" first="Hashem" last="Koohy">Hashem Koohy</name>
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<profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Amino Acid Sequence</term>
<term>Betacoronavirus (immunology)</term>
<term>CD8-Positive T-Lymphocytes (immunology)</term>
<term>Computational Biology</term>
<term>Coronavirus Infections (immunology)</term>
<term>Coronavirus Infections (prevention & control)</term>
<term>Epitopes (immunology)</term>
<term>HLA-A2 Antigen (immunology)</term>
<term>Humans</term>
<term>Pandemics</term>
<term>Peptides (immunology)</term>
<term>Pneumonia, Viral</term>
<term>Proteome</term>
<term>Viral Proteins (immunology)</term>
<term>Viral Vaccines (immunology)</term>
</keywords>
<keywords scheme="KwdFr" xml:lang="fr"><term>Antigène HLA-A2 (immunologie)</term>
<term>Biologie informatique</term>
<term>Humains</term>
<term>Infections à coronavirus ()</term>
<term>Infections à coronavirus (immunologie)</term>
<term>Lymphocytes T CD8+ (immunologie)</term>
<term>Pandémies</term>
<term>Peptides (immunologie)</term>
<term>Pneumopathie virale</term>
<term>Protéines virales (immunologie)</term>
<term>Protéome</term>
<term>Séquence d'acides aminés</term>
<term>Vaccins antiviraux (immunologie)</term>
<term>Épitopes (immunologie)</term>
</keywords>
<keywords scheme="MESH" type="chemical" qualifier="immunology" xml:lang="en"><term>Epitopes</term>
<term>HLA-A2 Antigen</term>
<term>Peptides</term>
<term>Viral Proteins</term>
<term>Viral Vaccines</term>
</keywords>
<keywords scheme="MESH" qualifier="immunologie" xml:lang="fr"><term>Antigène HLA-A2</term>
<term>Infections à coronavirus</term>
<term>Lymphocytes T CD8+</term>
<term>Peptides</term>
<term>Protéines virales</term>
<term>Vaccins antiviraux</term>
<term>Épitopes</term>
</keywords>
<keywords scheme="MESH" qualifier="immunology" xml:lang="en"><term>Betacoronavirus</term>
<term>CD8-Positive T-Lymphocytes</term>
<term>Coronavirus Infections</term>
</keywords>
<keywords scheme="MESH" qualifier="prevention & control" xml:lang="en"><term>Coronavirus Infections</term>
</keywords>
<keywords scheme="MESH" xml:lang="en"><term>Amino Acid Sequence</term>
<term>Computational Biology</term>
<term>Humans</term>
<term>Pandemics</term>
<term>Pneumonia, Viral</term>
<term>Proteome</term>
</keywords>
<keywords scheme="MESH" xml:lang="fr"><term>Biologie informatique</term>
<term>Humains</term>
<term>Infections à coronavirus</term>
<term>Pandémies</term>
<term>Pneumopathie virale</term>
<term>Protéome</term>
<term>Séquence d'acides aminés</term>
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<front><div type="abstract" xml:lang="en"><p><bold>Background:</bold>
The newly identified coronavirus known as 2019-nCoV has posed a serious global health threat. According to the latest report (18-February-2020), it has infected more than 72,000 people globally and led to deaths of more than 1,016 people in China.</p>
<p><bold>Methods:</bold>
The 2019 novel coronavirus proteome was aligned to a curated database of viral immunogenic peptides. The immunogenicity of detected peptides and their binding potential to HLA alleles was predicted by immunogenicity predictive models and NetMHCpan 4.0.</p>
<p><bold>Results:</bold>
We report
<italic>in silico</italic>
identification of a comprehensive list of immunogenic peptides that can be used as potential targets for 2019 novel coronavirus (2019-nCoV) vaccine development. First, we found 28 nCoV peptides identical to Severe acute respiratory syndrome-related coronavirus (SARS CoV) that have previously been characterized immunogenic by T cell assays. Second, we identified 48 nCoV peptides having a high degree of similarity with immunogenic peptides deposited in The Immune Epitope Database (IEDB). Lastly, we conducted a
<italic>de novo</italic>
search of 2019-nCoV 9-mer peptides that i) bind to common HLA alleles in Chinese and European population and ii) have T Cell Receptor (TCR) recognition potential by positional weight matrices and a recently developed immunogenicity algorithm, iPred, and identified in total 63 peptides with a high immunogenicity potential.</p>
<p><bold>Conclusions:</bold>
Given the limited time and resources to develop vaccine and treatments for 2019-nCoV, our work provides a shortlist of candidates for experimental validation and thus can accelerate development pipeline.</p>
</div>
</front>
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