Cross-reactivity and epitope analysis of Pru a 1, the major cherry allergen

Scheurer, Stephan; Son, Dae-Yeul; Boehm, Markus; Karamloo, Fariba; Franke, Sylvia; Hoffmann, Andreas; Haustein, Dieter; Vieths, Stefan

doi:10.1016/s0161-5890(99)00033-4

Cited by 113 publications

(83 citation statements)

References 17 publications

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“…Some examples of sequence comparison and analysis in the study of allergens include molecular characterization of an allergen group from dust mites (36), characterization of a superfamily of proteins containing the allergenic lipid transfer proteins (37), structural characterization of a rice allergen (38), cross-reactivity studies of allergens (27,39), analysis of mutations of pollen allergens (23), study of structural and molecular basis of allergenicity (25), and identification of characteristic motifs in cat (40) or cockroach (24) allergens.…”

Section: Common Bioinformatic Toolsmentioning

confidence: 99%

“…Advanced bioinformatic tools have been used for various predictions including secondary structure, allergenicity, sensitization, cross-reactivity, T-and B-cell epitopes and active sites in allergens. Secondary structure prediction of a selection of pollen, fruit and vegetable allergens using PredictProtein (41) software helped the identification of very similar structural elements and, in particular, the ÔP-loopÕ region as a common domain of pollen and related food allergens (27). This group of sequences displayed strong allergenic cross-reactivity and the presence of common and specific epitopes.…”

Section: Structural Motifs and 3-d Structure Analysismentioning

confidence: 99%

“…A large proportion of patients with pollen allergies show hypersensitivity after eating fresh fruit or vegetables. For example, the cross-reactivity of the major allergens of birch pollen (Bet v 1a), sweet cherry (Pru a 1), apple (Mal d 1), pear (Pyr c 1), celery tuber (Api g 1) and carrot (Dau c 1) were traced to high structural and amino acid sequence similarities (27). The cross-reactivity of IgE epitopes was traced down to a single amino acid and mutation studies showed that small changes in amino acid sequence can result in a significant reduction of allergenicity.…”

Section: Prediction Of Allergic Cross-reactivitymentioning

confidence: 99%

“…Nonanaphylactic allergen fragments or variants of the IgEreactive pollen allergens may serve as useful tools for new immunotherapies (27). The FAO/WHO expert recommendations provide guidelines for the assessment of potential cross-reactive allergenicity of food proteins (87).…”

Section: Prediction Of Allergic Cross-reactivitymentioning

confidence: 99%

“…Bioinformatic tools are available for prediction of allergenicity (25), allergen cross-reactivity (26), and T-cell epitopes (12). Structural analysis tools help identify structural properties of proteins, such as secondary structure (27), or tertiary structure (8,28) that may impart allergenicity, e.g. through affecting IgE binding sites.…”

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confidence: 99%

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Computational tools for the study of allergens

Brusic

Petrovsky

Gendel

et al. 2003

Allergy

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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.

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