Literature DB >> 16204345

An attempt to define allergen-specific molecular surface features: a bioinformatic approach.

Ruta Furmonaviciene1, Brian J Sutton, Fabian Glaser, Charlie A Laughton, Nick Jones, Herb F Sewell, Farouk Shakib.   

Abstract

Allergens are proteins that elicit T helper lymphocyte type 2 (Th2) responses culminating in IgE antibody production and allergic disease. However, we have no answer to the fundamental question of why certain proteins are allergens, while others are not. We hypothesized that analysis of the surface of diverse allergens may reveal common structural features which might enable them to be recognized as Th2-inducing antigens by cells of the innate immune system. We have therefore used the ConSurf server to search for allergen-specific motifs. This has enabled us to identify residue conservation patterns in the homologues of Ara t 8 (plant profilin), Act c 1 (actinidin), Bet v 1 (plant pathogenesis-related protein) and Ves v 5 (venom allergen). The results demonstrate the presence of allergen-specific patches consisting of an unusually high proportion of surface-exposed hydrophobic residues. The patches that have been identified may represent molecular patterns recognizable by cells of the innate immune system.

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Year:  2005        PMID: 16204345     DOI: 10.1093/bioinformatics/bti700

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  11 in total

Review 1.  Bioinformatics approaches to classifying allergens and predicting cross-reactivity.

Authors:  Catherine H Schein; Ovidiu Ivanciuc; Werner Braun
Journal:  Immunol Allergy Clin North Am       Date:  2007-02       Impact factor: 3.479

2.  The protease allergen Pen c 13 induces allergic airway inflammation and changes in epithelial barrier integrity and function in a murine model.

Authors:  Jui-Chieh Chen; Jiing-Guang Chuang; Yu-Yi Su; Bor-Luen Chiang; You-Shuei Lin; Lu-Ping Chow
Journal:  J Biol Chem       Date:  2011-05-25       Impact factor: 5.157

3.  Characteristic motifs for families of allergenic proteins.

Authors:  Ovidiu Ivanciuc; Tzintzuni Garcia; Miguel Torres; Catherine H Schein; Werner Braun
Journal:  Mol Immunol       Date:  2008-10-31       Impact factor: 4.407

4.  The glycosylation pattern of common allergens: the recognition and uptake of Der p 1 by epithelial and dendritic cells is carbohydrate dependent.

Authors:  Abeer Al-Ghouleh; Ramneek Johal; Inas K Sharquie; Mohammed Emara; Helen Harrington; Farouk Shakib; Amir M Ghaemmaghami
Journal:  PLoS One       Date:  2012-03-30       Impact factor: 3.240

5.  Physical properties of intact proteins may predict allergenicity or lack thereof.

Authors:  Suchita Singh; Bhupesh Taneja; Sundeep Santosh Salvi; Anurag Agrawal
Journal:  PLoS One       Date:  2009-07-17       Impact factor: 3.240

6.  AllerTOP--a server for in silico prediction of allergens.

Authors:  Ivan Dimitrov; Darren R Flower; Irini Doytchinova
Journal:  BMC Bioinformatics       Date:  2013-04-17       Impact factor: 3.169

7.  Group 10 allergens (tropomyosins) from house-dust mites may cause covariation of sensitization to allergens from other invertebrates.

Authors:  Rubaba Hamid Shafique; Muhammad Inam; Muhammad Ismail; Farhana Riaz Chaudhary
Journal:  Allergy Rhinol (Providence)       Date:  2012-12-18

Review 8.  Helminth Allergens, Parasite-Specific IgE, and Its Protective Role in Human Immunity.

Authors:  Colin Matthew Fitzsimmons; Franco Harald Falcone; David William Dunne
Journal:  Front Immunol       Date:  2014-02-14       Impact factor: 7.561

Review 9.  Structure of allergens and structure based epitope predictions.

Authors:  Fabio Dall'antonia; Tea Pavkov-Keller; Klaus Zangger; Walter Keller
Journal:  Methods       Date:  2013-07-23       Impact factor: 3.608

10.  Comprehensive in silico allergenicity assessment of novel protein engineered chimeric Cry proteins for safe deployment in crops.

Authors:  Maniraj Rathinam; Shweta Singh; Debasis Pattanayak; Rohini Sreevathsa
Journal:  BMC Biotechnol       Date:  2017-08-02       Impact factor: 2.563

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