Literature DB >> 12067413

Immuno-informatics: Mining genomes for vaccine components.

Anne S De Groot1, Hakima Sbai, Caitlin Saint Aubin, Julie McMurry, William Martin.   

Abstract

The complete genome sequences of more than 60 microbes have been completed in the past decade. Concurrently, a series of new informatics tools, designed to harness this new wealth of information, have been developed. Some of these new tools allow researchers to select regions of microbial genomes that trigger immune responses. These regions, termed epitopes, are ideal components of vaccines. When the new tools are used to search for epitopes, this search is usually coupled with in vitro screening methods; an approach that has been termed computational immunology or immuno-informatics. Researchers are now implementing these combined methods to scan genomic sequences for vaccine components. They are thereby expanding the number of different proteins that can be screened for vaccine development, while narrowing this search to those regions of the proteins that are extremely likely to induce an immune response. As the tools improve, it may soon be feasible to skip over many of the in vitro screening steps, moving directly from genome sequence to vaccine design. The present article reviews the work of several groups engaged in the development of immuno-informatics tools and illustrates the application of these tools to the process of vaccine discovery.

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Year:  2002        PMID: 12067413     DOI: 10.1046/j.1440-1711.2002.01092.x

Source DB:  PubMed          Journal:  Immunol Cell Biol        ISSN: 0818-9641            Impact factor:   5.126


  52 in total

Review 1.  Immunoinformatics: an integrated scenario.

Authors:  Namrata Tomar; Rajat K De
Journal:  Immunology       Date:  2010-08-16       Impact factor: 7.397

2.  A probabilistic meta-predictor for the MHC class II binding peptides.

Authors:  Oleksiy Karpenko; Lei Huang; Yang Dai
Journal:  Immunogenetics       Date:  2007-12-19       Impact factor: 2.846

Review 3.  Advances in FIV vaccine technology.

Authors:  Elizabeth W Uhl; Marcus Martin; James K Coleman; Janet K Yamamoto
Journal:  Vet Immunol Immunopathol       Date:  2008-01-20       Impact factor: 2.046

Review 4.  Overview of computational vaccinology: vaccine development through information technology.

Authors:  Nishita Vaishnav; Aparna Gupta; Sneha Paul; Georrge J John
Journal:  J Appl Genet       Date:  2014-12-23       Impact factor: 3.240

5.  The role of glutamic or aspartic acid in position four of the epitope binding motif and thyrotropin receptor-extracellular domain epitope selection in Graves' disease.

Authors:  Hidefumi Inaba; William Martin; Matt Ardito; Anne Searls De Groot; Leslie J De Groot
Journal:  J Clin Endocrinol Metab       Date:  2010-04-14       Impact factor: 5.958

Review 6.  Coccidioidomycosis: host response and vaccine development.

Authors:  Rebecca A Cox; D Mitchell Magee
Journal:  Clin Microbiol Rev       Date:  2004-10       Impact factor: 26.132

7.  Analysis and prediction of affinity of TAP binding peptides using cascade SVM.

Authors:  Manoj Bhasin; G P S Raghava
Journal:  Protein Sci       Date:  2004-03       Impact factor: 6.725

8.  IMMUNOCAT-a data management system for epitope mapping studies.

Authors:  Jo L Chung; Jian Sun; John Sidney; Alessandro Sette; Bjoern Peters
Journal:  J Biomed Biotechnol       Date:  2010-05-17

Review 9.  A systems biology approach to the effect of aging, immunosenescence and vaccine response.

Authors:  Gregory A Poland; Inna G Ovsyannikova; Richard B Kennedy; Nathaniel D Lambert; James L Kirkland
Journal:  Curr Opin Immunol       Date:  2014-05-13       Impact factor: 7.486

10.  Prediction of MHC class I binding peptides using probability distribution functions.

Authors:  Sudhir Singh Soam; Feroz Khan; Bharat Bhasker; Bhartendu Nath Mishra
Journal:  Bioinformation       Date:  2009-06-28
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