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Food Chem Toxicol. 2014 Sep;71:142-8. doi: 10.1016/j.fct.2014.06.008. Epub 2014 Jun 19.

Evaluation of global sequence comparison and one-to-one FASTA local alignment in regulatory allergenicity assessment of transgenic proteins in food crops.

Author information

1
Dow AgroSciences, 9330 Zionsville Road, Indianapolis, IN 46268, United States. Electronic address: psong@dow.com.
2
Dow AgroSciences, 9330 Zionsville Road, Indianapolis, IN 46268, United States.

Abstract

To address the high false positive rate using >35% identity over 80 amino acids in the regulatory assessment of transgenic proteins for potential allergenicity and the change of E-value with database size, the Needleman-Wunsch global sequence alignment and a one-to-one (1:1) local FASTA search (one protein in the target database at a time) using FASTA were evaluated by comparing proteins randomly selected from Arabidopsis, rice, corn, and soybean with known allergens in a peer-reviewed allergen database (http://www.allergenonline.org/). Compared with the approach of searching >35%/80aa+, the false positive rate measured by specificity rate for identification of true allergens was reduced by a 1:1 global sequence alignment with a cut-off threshold of ≧30% identity and a 1:1 FASTA local alignment with a cut-off E-value of ≦1.0E-09 while maintaining the same sensitivity. Hence, a 1:1 sequence comparison, especially using the FASTA local alignment tool with a biological relevant E-value of 1.0E-09 as a threshold, is recommended for the regulatory assessment of sequence identities between transgenic proteins in food crops and known allergens.

KEYWORDS:

Allergen; Bioinformatics; Cross-reactivity; Protein; Transgenic

PMID:
24953553
DOI:
10.1016/j.fct.2014.06.008
[Indexed for MEDLINE]

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