Computational tools for the study of allergens

被引：40

作者：

Brusic, V

Petrovsky, N

Gendel, SM

Millot, M

Gigonzac, O

Stelman, SJ

机构：

[1] Inst Infocomm Res, Singapore 119631, Singapore

[2] Univ Canberra, Ctr Med Informat, Canberra, ACT, Australia

[3] US FDA, Biotechnol Studies Branch, Natl Ctr Food Safety & Technol, Summit Argo, IL USA

[4] Commiss European Communities, Joint Res Ctr, IHCP, I-21020 Ispra, Italy

[5] Aventis CropSci, Evry, France

[6] Dow AgroSci, San Diego, CA USA

来源：

ALLERGY | 2003年 / 58卷 / 11期

关键词：

allergen; molecular modelling; prediction of allergenicity; prediction of cross-reactivity; sequence analysis;

D O I：

10.1034/j.1398-9995.2003.00224.x

中图分类号：

R392 [医学免疫学];

学科分类号：

100102 ;

摘要：

Allergy is a major cause of morbidity worldwide. The number of characterized allergens and related information is increasing rapidly creating demands for advanced information storage, retrieval and analysis. Bioinformatics provides useful tools for analysing allergens and these are complementary to traditional laboratory techniques for the study of allergens. Specific applications include structural analysis of allergens, identification of B- and T-cell epitopes, assessment of allergenicity and cross-reactivity, and genome analysis. In this paper, the most important bioinformatic tools and methods with relevance to the study of allergy have been reviewed.

引用

页码：1083 / 1092

页数：10

共 105 条

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