SrasV1, 2020, Analysis, bibRecord, 000A55

In silico identification of vaccine targets for 2019-nCoV

Identifieur interne : 000A55 ( 2020/Analysis ); précédent : 000A54; suivant : 000A56

In silico identification of vaccine targets for 2019-nCoV

Auteurs : Chloe Hyun-Jung Lee [Royaume-Uni] ; Hashem Koohy [Royaume-Uni]

Source :

F1000Research [ 2046-1402 ] ; 2020.

RBID : PMC:7111504

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 :
- immunologie : Antigène HLA-A2, Infections à coronavirus, Lymphocytes T CD8+, Peptides, Protéines virales, Vaccins antiviraux, Épitopes.
- Biologie informatique, Humains, Infections à coronavirus, Pandémies, Pneumopathie virale, Protéome, Séquence d'acides aminés.

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

Background: 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.

Methods: 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.

Results: We report in silico 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 de novo 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.

Conclusions: 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.

Url:

http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7111504

DOI: 10.12688/f1000research.22507.1
PubMed: 32269766
PubMed Central: 7111504

Affiliations:

Links to Exploration step

PMC:7111504

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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<term>Protéines virales</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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Serveur d'exploration SRAS

In silico identification of vaccine targets for 2019-nCoV

In silico identification of vaccine targets for 2019-nCoV

Source :

Descripteurs français

English descriptors

Abstract

Links toward previous steps (curation, corpus...)

Links to Exploration step

Le document en format XML

Pour manipuler ce document sous Unix (Dilib)

Pour mettre un lien sur cette page dans le réseau Wicri

Pour générer des pages wiki

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