Information technologies for vaccine research

被引：22
|
作者：
Brusic, Vladimir
August, J. Thomas
Petrovsky, Nikolai
机构：
[1] Inst Infocomm Res, Singapore 119613, Singapore
[2] Univ Queensland, Sch Land & Food Sci, Brisbane, Qld, Australia
[3] Univ Queensland, Inst Mol Biotechnol, Brisbane, Qld, Australia
[4] Johns Hopkins Univ, Sch Med, Baltimore, MD 21205 USA
[5] Flinders Med Ctr, Dept Endocrinol & Diabet, Bedford Pk, SA 5042, Australia
来源：
EXPERT REVIEW OF VACCINES | 2005年 / 4卷 / 03期
关键词：
computational vaccinology; immunoinformatics; immunomics; immunologic databases; T-cell epitope prediction;
D O I：
10.1586/14760584.4.3.407
中图分类号：
R392 [医学免疫学]; Q939.91 [免疫学];
学科分类号：
100102 ;
摘要：
Vaccinology is a combinatorial science which studies the diversity of pathogens and the human immune system, and formulations that can modulate immune responses and prevent or cure disease. Huge amounts of data are produced by genomics and proteomics projects and large-scale screening of pathogen-host and antigen-host interactions. Current developments in computational vaccinology mainly support the analysis of antigen processing and presentation and the characterization of targets of immune response. Future development will also include systemic models of vaccine responses. Immunomics, the large-scale screening of immune processes which includes powerful immunoinformatic tools, offers great promise for future translation of basic immunology research advances into successful vaccines.
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页码：407 / 417
页数：11
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