Abstract
Antigenic variation, which is the result of amino acid substitution and genetic evolution, poses a major challenge in the development of vaccines against pathogens with unstable genomes, such as HIV-1 and Influenza. Thus, it is highly important to characterize the relationship of genetic evolution, antigenic variation and positional mutation (GAP) from the perspective of vaccine development. For this purpose, we introduce an automatic and simple GAP analysis approach, which is based on the fundamental concept of “mutational behavior” in genomic research, to predict the specificity- determining positions in protein families. This approach identifies cross-neutralization determinants by mutational behavior correlation to antigenic and genetic changes. Correlated mutation analysis and structure mapping further refine the cross-neutralization determinants. The usability of this approach is confirmed by analysis of an Influenza H3N2 crossreactive dataset.
Keywords: Neutralizing antibody, cross-neutralization, CDPs, GAP, vaccine, Influenza, HIV-1
Current HIV Research
Title: Identification of Cross-Neutralization Determinants by GAP Analysis: A Mutational Behavior Approach
Volume: 5 Issue: 1
Author(s): Fusheng Li, Peter B. Gilbert and Steve G. Self
Affiliation:
Keywords: Neutralizing antibody, cross-neutralization, CDPs, GAP, vaccine, Influenza, HIV-1
Abstract: Antigenic variation, which is the result of amino acid substitution and genetic evolution, poses a major challenge in the development of vaccines against pathogens with unstable genomes, such as HIV-1 and Influenza. Thus, it is highly important to characterize the relationship of genetic evolution, antigenic variation and positional mutation (GAP) from the perspective of vaccine development. For this purpose, we introduce an automatic and simple GAP analysis approach, which is based on the fundamental concept of “mutational behavior” in genomic research, to predict the specificity- determining positions in protein families. This approach identifies cross-neutralization determinants by mutational behavior correlation to antigenic and genetic changes. Correlated mutation analysis and structure mapping further refine the cross-neutralization determinants. The usability of this approach is confirmed by analysis of an Influenza H3N2 crossreactive dataset.
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Cite this article as:
Li Fusheng, Gilbert B. Peter and Self G. Steve, Identification of Cross-Neutralization Determinants by GAP Analysis: A Mutational Behavior Approach, Current HIV Research 2007; 5 (1) . https://dx.doi.org/10.2174/157016207779316305
DOI https://dx.doi.org/10.2174/157016207779316305 |
Print ISSN 1570-162X |
Publisher Name Bentham Science Publisher |
Online ISSN 1873-4251 |
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