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Computational Epitopes-Based Vaccine against Sin Nombre Virus: Immunoinformatics Predication and Modelling of a Cocktail of B- and T-cells Epitopes from Glycoprotein and Nucleocapsid - Brossura
Sinossi
Sin Numbre virus is a Category A pathogen with a reported mortality rate ranging from 30% to 50%. It was responsible for the 2012 Yosemite National Park outbreak. Until now, Specific therapy is not available for the treatment of HCPS caused by SNV. Despite many efforts to develop safe and effective vaccines against SNV, included conventional as well as molecular vaccine approaches, to date there are no vaccines proven to be highly efficacious against SNV. In our study, we analyzed envelope glycoprotein and nucleocapsid of SNV by using immunoinformatics tools housed in IEDB resources; in order to determine the most conserved and immunogenic epitopes for B- and T- cells. Then the predicted epitopes were assessed for the population coverage against the whole world population with the MHC-I and MHC-II restricted alleles. Among predicted epitopes for B-cell, the best candidates for glycoprotein and nuclocapsid were the epitope 743CKKYAYPWQT752 and the epitope 271QVDESKVS278, respectively. To the best of our knowledge, our study for the first time has predicted a cocktail of B- and T-cell epitopes for designing an effective vaccine against HCPS caused by SNV.
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Computational Epitopes-Based Vaccine against Sin Nombre Virus: Immunoinformatics Predication and Modelling of a Cocktail of B- and T-cells Epitopes from Glycoprotein and Nucleocapsid
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LAP LAMBERT Academic Publishing, 2018
ISBN 10: 6137383210
ISBN 13: 9786137383216
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Computational Epitopes-Based Vaccine against Sin Nombre Virus: Immunoinformatics Predication and Modelling of a Cocktail of B- and T-cells Epitopes from Glycoprotein and Nucleocapsid
Editore:
LAP LAMBERT Academic Publishing, 2018
ISBN 10: 6137383210
ISBN 13: 9786137383216
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Condizione: New. Print on Demand. Codice articolo 401658026
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Computational Epitopes-Based Vaccine against Sin Nombre Virus: Immunoinformatics Predication and Modelling of a Cocktail of B- and T-cells Epitopes from Glycoprotein and Nucleocapsid
Editore:
LAP LAMBERT Academic Publishing, 2018
ISBN 10: 6137383210
ISBN 13: 9786137383216
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Da: Biblios, Frankfurt am main, HESSE, Germania
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Computational Epitopes-Based Vaccine against Sin Nombre Virus
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LAP LAMBERT Academic Publishing, 2018
ISBN 10: 6137383210
ISBN 13: 9786137383216
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Da: moluna, Greven, Germania
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Babiker Idris AbeerAbeer Babiker Idris, BSc (Hons), MSc and currently pursuing PhD in Medical Microbiology and teaching assistant at University of Khartoum, Sudan. Research interests include molecular characterization of microbes, im. Codice articolo 385845762
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Computational Epitopes-Based Vaccine against Sin Nombre Virus: Immunoinformatics Predication and Modelling of a Cocktail of B- and T-cells Epitopes from Glycoprotein and Nucleocapsid
Editore:
LAP LAMBERT Academic Publishing, 2018
ISBN 10: 6137383210
ISBN 13: 9786137383216
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Da: Revaluation Books, Exeter, Regno Unito
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Paperback. Condizione: Brand New. 56 pages. 8.66x5.91x0.13 inches. In Stock. Codice articolo zk6137383210
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Computational Epitopes-Based Vaccine against Sin Nombre Virus
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LAP Lambert Academic Publishing Mär 2018, 2018
ISBN 10: 6137383210
ISBN 13: 9786137383216
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Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
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Taschenbuch. Condizione: Neu. Neuware -Sin Numbre virus is a Category A pathogen with a reported mortality rate ranging from 30% to 50%. It was responsible for the 2012 Yosemite National Park outbreak. Until now, Specific therapy is not available for the treatment of HCPS caused by SNV. Despite many efforts to develop safe and effective vaccines against SNV, included conventional as well as molecular vaccine approaches, to date there are no vaccines proven to be highly efficacious against SNV. In our study, we analyzed envelope glycoprotein and nucleocapsid of SNV by using immunoinformatics tools housed in IEDB resources; in order to determine the most conserved and immunogenic epitopes for B- and T- cells. Then the predicted epitopes were assessed for the population coverage against the whole world population with the MHC-I and MHC-II restricted alleles. Among predicted epitopes for B-cell, the best candidates for glycoprotein and nuclocapsid were the epitope 743CKKYAYPWQT752 and the epitope 271QVDESKVS278, respectively. To the best of our knowledge, our study for the first time has predicted a cocktail of B- and T-cell epitopes for designing an effective vaccine against HCPS caused by SNV.Books on Demand GmbH, Überseering 33, 22297 Hamburg 56 pp. Englisch. Codice articolo 9786137383216
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Computational Epitopes-Based Vaccine against Sin Nombre Virus : Immunoinformatics Predication and Modelling of a Cocktail of B- and T-cells Epitopes from Glycoprotein and Nucleocapsid
Editore:
LAP Lambert Academic Publishing, 2018
ISBN 10: 6137383210
ISBN 13: 9786137383216
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Taschenbuch
Da: AHA-BUCH GmbH, Einbeck, Germania
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Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Sin Numbre virus is a Category A pathogen with a reported mortality rate ranging from 30% to 50%. It was responsible for the 2012 Yosemite National Park outbreak. Until now, Specific therapy is not available for the treatment of HCPS caused by SNV. Despite many efforts to develop safe and effective vaccines against SNV, included conventional as well as molecular vaccine approaches, to date there are no vaccines proven to be highly efficacious against SNV. In our study, we analyzed envelope glycoprotein and nucleocapsid of SNV by using immunoinformatics tools housed in IEDB resources; in order to determine the most conserved and immunogenic epitopes for B- and T- cells. Then the predicted epitopes were assessed for the population coverage against the whole world population with the MHC-I and MHC-II restricted alleles. Among predicted epitopes for B-cell, the best candidates for glycoprotein and nuclocapsid were the epitope 743CKKYAYPWQT752 and the epitope 271QVDESKVS278, respectively. To the best of our knowledge, our study for the first time has predicted a cocktail of B- and T-cell epitopes for designing an effective vaccine against HCPS caused by SNV. Codice articolo 9786137383216
Quantità: 1 disponibili