Bioinformatics for characterisation of allergens, allergenicity and allergic crossreactivity

Brusic, V and Petrovsky, N (2003) Bioinformatics for characterisation of allergens, allergenicity and allergic crossreactivity. Trends In Immunology, 24 5: 225-228. doi:10.1061/S1471-4906(03)00075-9


Author Brusic, V
Petrovsky, N
Title Bioinformatics for characterisation of allergens, allergenicity and allergic crossreactivity
Journal name Trends In Immunology   Check publisher's open access policy
ISSN 1471-4906
Publication date 2003-01-01
Sub-type Article (original research)
DOI 10.1061/S1471-4906(03)00075-9
Open Access Status DOI
Volume 24
Issue 5
Start page 225
End page 228
Total pages 4
Language eng
Abstract Allergies are a major cause of chronic ill health in industrialised countries with the incidence of reported cases steadily increasing. This Research Focus details how bioinformatics is transforming the field of allergy through providing databases for management of allergen data, algorithms for characterisation of allergic crossreactivity, structural motifs and B- and T-cell epitopes, tools for prediction of allergenicity and techniques for genomic and proteomic analysis of allergens.
Keyword Immunology
Multiple Sequence Alignment
Potential Allergenicity
Prediction
Molecules
Identification
Generation
Database
Epitope
Binding
Peptide
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status Unknown

Document type: Journal Article
Sub-type: Article (original research)
Collections: Excellence in Research Australia (ERA) - Collection
School of Agriculture and Food Sciences
 
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Citation counts: TR Web of Science Citation Count  Cited 23 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 23 times in Scopus Article | Citations
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Created: Mon, 13 Aug 2007, 23:35:22 EST