TY - JOUR
T1 - Bioinformatics Approaches to Classifying Allergens and Predicting Cross-Reactivity
AU - Schein, Catherine H.
AU - Ivanciuc, Ovidiu
AU - Braun, Werner
N1 - Funding Information:
This work was supported by grants from the Food and Drug Administration (FD-U-002249), the Texas Higher Education Coordinating Board (ATP grant 004952-0036-2003), the National Institute of Health (R01 AI 064913) and the U.S. Environmental Protection Agency under a STAR Research Assistance Agreement (No. RD 833137). The article has not been formally reviewed by the EPA, and the views expressed in this document are solely those of the authors.
PY - 2007/2
Y1 - 2007/2
N2 - Allergenic proteins from very different environmental sources have similar sequences and structures. This fact may account for multiple allergen syndromes, whereby a myriad of diverse plants and foods may induce a similar IgE-based reaction in certain patients. Identifying the common triggering protein in these sources, in silico, can aid designing individualized therapy for allergen sufferers. This article provides an overview of databases on allergenic proteins, and ways to identify common proteins that may be the cause of multiple allergy syndromes. The major emphasis is on the relational Structural Database of Allergenic Proteins (SDAP [http://fermi.utmb.edu/SDAP/]), which includes cross-referenced data on the sequence, structure, and IgE epitopes of over 800 allergenic proteins, coupled with specially developed bioinformatics tools to group all allergens and identify discrete areas that may account for cross-reactivity. SDAP is freely available on the Web to clinicians and patients.
AB - Allergenic proteins from very different environmental sources have similar sequences and structures. This fact may account for multiple allergen syndromes, whereby a myriad of diverse plants and foods may induce a similar IgE-based reaction in certain patients. Identifying the common triggering protein in these sources, in silico, can aid designing individualized therapy for allergen sufferers. This article provides an overview of databases on allergenic proteins, and ways to identify common proteins that may be the cause of multiple allergy syndromes. The major emphasis is on the relational Structural Database of Allergenic Proteins (SDAP [http://fermi.utmb.edu/SDAP/]), which includes cross-referenced data on the sequence, structure, and IgE epitopes of over 800 allergenic proteins, coupled with specially developed bioinformatics tools to group all allergens and identify discrete areas that may account for cross-reactivity. SDAP is freely available on the Web to clinicians and patients.
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U2 - 10.1016/j.iac.2006.11.005
DO - 10.1016/j.iac.2006.11.005
M3 - Review article
C2 - 17276876
AN - SCOPUS:33846631464
SN - 0889-8561
VL - 27
SP - 1
EP - 27
JO - Immunology and Allergy Clinics of North America
JF - Immunology and Allergy Clinics of North America
IS - 1
ER -