Literature DB >> 17639511

Comparison of conventional FASTA identity searches with the 80 amino acid sliding window FASTA search for the elucidation of potential identities to known allergens.

Gregory S Ladics1, Gary A Bannon, Andre Silvanovich, Robert F Cressman.   

Abstract

Food and Agriculture Organization/World Health Organization (FAO/WHO) recommended that IgE cross-reactivity between a transgenic protein and allergen be considered when there is >or= 35% identity over a sliding "window" of 80 amino acids. Our objective was to evaluate the false positive and negative rates observed using the FAO/WHO versus conventional FASTA analyses. Data used as queries against allergen databases and analyzed to assess false positive rates included: 1,102 hypothetical corn ORFs; 907 randomly selected proteins; 89 randomly selected corn proteins; and 97 corn seed proteins. To evaluate false negative rates of both methods: Bet v 1a along with several crossreacting fruit/vegetable allergens and a bean alpha-amylase inhibitor were used as queries. Both methods were also evaluated for their ability to detect a putative nonallergenic test protein containing a sequence derived from Ara h 1. FASTA versions 3.3t0 and 3.4t25 were utilized. Data indicate a conventional FASTA analysis produced fewer false positives and equivalent false negative rates. Conventional FASTA versus sliding window derived E scores were generally more significant. Results suggest a conventional FASTA search provides more relevant identity to the query protein and better reflects the functional similarities between proteins. It is recommended that the conventional FASTA analysis be conducted to compare identities of proteins to allergens.

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Year:  2007        PMID: 17639511     DOI: 10.1002/mnfr.200600231

Source DB:  PubMed          Journal:  Mol Nutr Food Res        ISSN: 1613-4125            Impact factor:   5.914


  11 in total

1.  Distinguishing allergens from non-allergenic homologues using Physical-Chemical Property (PCP) motifs.

Authors:  Wenzhe Lu; Surendra S Negi; Catherine H Schein; Soheila J Maleki; Barry K Hurlburt; Werner Braun
Journal:  Mol Immunol       Date:  2018-04-06       Impact factor: 4.407

Review 2.  Immunomodulatory and Allergenic Properties of Antimicrobial Peptides.

Authors:  Svetlana V Guryanova; Tatiana V Ovchinnikova
Journal:  Int J Mol Sci       Date:  2022-02-24       Impact factor: 5.923

Review 3.  Safety assessment of biotechnology products for potential risk of food allergy: implications of new research.

Authors:  MaryJane K Selgrade; Christal C Bowman; Gregory S Ladics; Laura Privalle; Susan A Laessig
Journal:  Toxicol Sci       Date:  2009-04-10       Impact factor: 4.849

Review 4.  Suggested improvements for the allergenicity assessment of genetically modified plants used in foods.

Authors:  Richard E Goodman; Afua O Tetteh
Journal:  Curr Allergy Asthma Rep       Date:  2011-08       Impact factor: 4.806

5.  An approach for identifying cytokines based on a novel ensemble classifier.

Authors:  Quan Zou; Zhen Wang; Xinjun Guan; Bin Liu; Yunfeng Wu; Ziyu Lin
Journal:  Biomed Res Int       Date:  2013-08-21       Impact factor: 3.411

Review 6.  Maize transformation technology development for commercial event generation.

Authors:  Qiudeng Que; Sivamani Elumalai; Xianggan Li; Heng Zhong; Samson Nalapalli; Michael Schweiner; Xiaoyin Fei; Michael Nuccio; Timothy Kelliher; Weining Gu; Zhongying Chen; Mary-Dell M Chilton
Journal:  Front Plant Sci       Date:  2014-08-05       Impact factor: 5.753

7.  Bioinformatic screening and detection of allergen cross-reactive IgE-binding epitopes.

Authors:  Scott McClain
Journal:  Mol Nutr Food Res       Date:  2017-03-27       Impact factor: 5.914

8.  Protease resistance of food proteins: a mixed picture for predicting allergenicity but a useful tool for assessing exposure.

Authors:  Jaap Akkerdaas; Muriel Totis; Brian Barnett; Erin Bell; Tom Davis; Thomas Edrington; Kevin Glenn; Gerson Graser; Rod Herman; Andre Knulst; Gregory Ladics; Scott McClain; Lars K Poulsen; Rakesh Ranjan; Jean-Baptiste Rascle; Hector Serrano; Dave Speijer; Rong Wang; Lucilia Pereira Mouriès; Annabelle Capt; Ronald van Ree
Journal:  Clin Transl Allergy       Date:  2018-08-10       Impact factor: 5.871

9.  1:1 FASTA update: Using the power of E-values in FASTA to detect potential allergen cross-reactivity.

Authors:  Ping Song; Rod Herman; Siva Kumpatla
Journal:  Toxicol Rep       Date:  2015-08-20

10.  Identification and in silico bioinformatics analysis of PR10 proteins in cashew nut.

Authors:  Shanna Bastiaan-Net; Maria C Pina-Pérez; Bas J W Dekkers; Adrie H Westphal; Antoine H P America; Renata M C Ariëns; Nicolette W de Jong; Harry J Wichers; Jurriaan J Mes
Journal:  Protein Sci       Date:  2020-05-16       Impact factor: 6.725

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