Special Features: Immuno-informatics
Immunology and Cell Biology (2002) 80, 255–269; doi:10.1046/j.1440-1711.2002.01092.x
Immuno-informatics: Mining genomes for vaccine components
Two of the contributing authors, W Martin and AS DeGroot, are senior officers and majority shareholders at EpiVax, a privately owned vaccine design company located in Providence, Rhode Island, USA. These authors acknowledge that there is a potential conflict of interest related to their relationship with EpiVax and attest that the work contained in this research report is free of any bias that might be associated with the commercial goals of the company.
Anne S De Groot1,2, Hakima Sbai1, Caitlin Saint Aubin1, Julie McMurry1 and William Martin2
- 1 TB/HIV Research Laboratory, Brown University, Providence, Rhode Island, USA
- 2 EpiVax, Providence, Rhode Island, USA
Correspondence: Dr AS De Groot, TB/HIV Research Lab, Brown University, Providence, Rhode Island 02912, USA. Email: anne_degroot@brown.edu
Received 28 February 2002; Accepted 28 February 2002.
Abstract
The complete genome sequences of more than 60 microbes have been completed in the past decade. Concurrently, a series of new informatic stools, 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 scangenomic 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-informatic stools and illustrates the application of these tools to the process of vaccine discovery.
Keywords:
algorithm, bioinformatics, epitope, genome, T cell, vaccine

