Literature DB >> 14616117

Computational tools for the study of allergens.

V Brusic1, N Petrovsky, S M Gendel, M Millot, O Gigonzac, S J Stelman.   

Abstract

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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Year:  2003        PMID: 14616117     DOI: 10.1034/j.1398-9995.2003.00224.x

Source DB:  PubMed          Journal:  Allergy        ISSN: 0105-4538            Impact factor:   13.146


  12 in total

1.  Molecular cloning, expression, sequence analyses of dust mite allergen Der f 6 and its IgE-binding reactivity with mite allergic asthma patients in southeast China.

Authors:  Yubao Cui; Ying Zhou; Weihong Shi; Guifang Ma; Li Yang; Yungang Wang; Li Li
Journal:  Mol Biol Rep       Date:  2011-05-18       Impact factor: 2.316

Review 2.  Structural characterization of pollen allergens.

Authors:  Petra Verdino
Journal:  Clin Rev Allergy Immunol       Date:  2006-04       Impact factor: 8.667

3.  Cloning, expression, and analysis of a cDNA coding for the Dermatophagoides farinae group 21 (Der f 21) allergen.

Authors:  Yubao Cui; Yongqian Jiang; Youlin Ji; Ying Zhou; Lili Yu; Nan Wang; Li Yang; Chengbo Zhang
Journal:  Am J Transl Res       Date:  2014-11-22       Impact factor: 4.060

4.  Bridging PCR and partially overlapping primers for novel allergen gene cloning and expression insert decoration.

Authors:  Ai-Lin Tao; Shao-Heng He
Journal:  World J Gastroenterol       Date:  2004-07-15       Impact factor: 5.742

Review 5.  The epitopes in wheat proteins for defining toxic units relevant to human health.

Authors:  Angéla Juhász; Gyöngyvér Gell; Frank Békés; Ervin Balázs
Journal:  Funct Integr Genomics       Date:  2012-11-20       Impact factor: 3.410

6.  Computational approach for the identification of putative allergens from Cucurbitaceae family members.

Authors:  Desam Neeharika; Swetha Sunkar
Journal:  J Food Sci Technol       Date:  2020-05-26       Impact factor: 2.701

7.  Brachypodium distachyon as a model for defining the allergen potential of non-prolamin proteins.

Authors:  A Juhász; Gy Gell; E Sebestyén; R Haraszi; L Tamás; E Balázs
Journal:  Funct Integr Genomics       Date:  2012-08-30       Impact factor: 3.410

8.  AlgPred: prediction of allergenic proteins and mapping of IgE epitopes.

Authors:  Sudipto Saha; G P S Raghava
Journal:  Nucleic Acids Res       Date:  2006-07-01       Impact factor: 16.971

9.  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

10.  AllerHunter: a SVM-pairwise system for assessment of allergenicity and allergic cross-reactivity in proteins.

Authors:  Hon Cheng Muh; Joo Chuan Tong; Martti T Tammi
Journal:  PLoS One       Date:  2009-06-10       Impact factor: 3.240

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