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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...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2014
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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. |
format | Online Article Text |
id | pubmed-7123293 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT chaudhurirupanjali predictionofvirulencefactorsusingbioinformaticsapproaches AT ramachandransrinivasan predictionofvirulencefactorsusingbioinformaticsapproaches |