Hotspot Hunter: a computational system for large-scale screening and selection of candidate immunological hotspots in pathogen proteomes


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Zhang G. L., KHAN M. A., Srinivasan K. N., Heiny A. T., Lee K. X., Kwoh C. K., ...More

BMC BIOINFORMATICS, vol.9, 2008 (SCI-Expanded) identifier identifier identifier

  • Publication Type: Article / Article
  • Volume: 9
  • Publication Date: 2008
  • Doi Number: 10.1186/1471-2105-9-s1-s19
  • Journal Name: BMC BIOINFORMATICS
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Bezmialem Vakıf University Affiliated: Yes

Abstract

Background: T-cell epitopes that promiscuously bind to multiple alleles of a human leukocyte antigen (HLA) supertype are prime targets for development of vaccines and immunotherapies because they are relevant to a large proportion of the human population. The presence of clusters of promiscuous T-cell epitopes, immunological hotspots, has been observed in several antigens. These clusters may be exploited to facilitate the development of epitope-based vaccines by selecting a small number of hotspots that can elicit all of the required T-cell activation functions. Given the large size of pathogen proteomes, including of variant strains, computational tools are necessary for automated screening and selection of immunological hotspots.