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Prediction of Virulence Factors Using Bioinformatics Approaches

Virulence factors produced by a pathogen are essential for causing disease in the host. They enable the pathogen to establish itself within the host thus enhancing its potential to cause disease and in some instances underlie evasion of host defense mechanisms. Identification of these molecules, esp...

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Detalles Bibliográficos
Autores principales: Chaudhuri, Rupanjali, Ramachandran, Srinivasan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7123293/
https://www.ncbi.nlm.nih.gov/pubmed/25048137
http://dx.doi.org/10.1007/978-1-4939-1115-8_22
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author Chaudhuri, Rupanjali
Ramachandran, Srinivasan
author_facet Chaudhuri, Rupanjali
Ramachandran, Srinivasan
author_sort Chaudhuri, Rupanjali
collection PubMed
description Virulence factors produced by a pathogen are essential for causing disease in the host. They enable the pathogen to establish itself within the host thus enhancing its potential to cause disease and in some instances underlie evasion of host defense mechanisms. Identification of these molecules, especially those of immunological interest and their use in vaccine development are attractive and are among the initial steps of reverse vaccinology. Surface localized virulence factors such as adhesins serve as excellent immunogenic candidates in this regard. In this chapter we have described the bioinformatics approaches for adhesin prediction, which include specific adhesin prediction algorithms.
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spelling pubmed-71232932020-04-06 Prediction of Virulence Factors Using Bioinformatics Approaches Chaudhuri, Rupanjali Ramachandran, Srinivasan Immunoinformatics Article Virulence factors produced by a pathogen are essential for causing disease in the host. They enable the pathogen to establish itself within the host thus enhancing its potential to cause disease and in some instances underlie evasion of host defense mechanisms. Identification of these molecules, especially those of immunological interest and their use in vaccine development are attractive and are among the initial steps of reverse vaccinology. Surface localized virulence factors such as adhesins serve as excellent immunogenic candidates in this regard. In this chapter we have described the bioinformatics approaches for adhesin prediction, which include specific adhesin prediction algorithms. 2014-05-06 /pmc/articles/PMC7123293/ /pubmed/25048137 http://dx.doi.org/10.1007/978-1-4939-1115-8_22 Text en © Springer Science+Business Media New York 2014 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Article
Chaudhuri, Rupanjali
Ramachandran, Srinivasan
Prediction of Virulence Factors Using Bioinformatics Approaches
title Prediction of Virulence Factors Using Bioinformatics Approaches
title_full Prediction of Virulence Factors Using Bioinformatics Approaches
title_fullStr Prediction of Virulence Factors Using Bioinformatics Approaches
title_full_unstemmed Prediction of Virulence Factors Using Bioinformatics Approaches
title_short Prediction of Virulence Factors Using Bioinformatics Approaches
title_sort prediction of virulence factors using bioinformatics approaches
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7123293/
https://www.ncbi.nlm.nih.gov/pubmed/25048137
http://dx.doi.org/10.1007/978-1-4939-1115-8_22
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