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Bioinformatics Advance Access published online on August 19, 2004
Bioinformatics, doi:10.1093/bioinformatics/bth477
Bioinformatics © Oxford University Press 2004; all rights reserved
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Received December 4, 2003
Revised July 2, 2004
Accepted August 5, 2004

Article

Supervised identification of allergen-representative peptides for in silico detection of potentially allergenic proteins

Åsa K. Björklund 1, Daniel Soeria-Atmadja 1, Anna Zorzet 1, Ulf Hammerling 1*, Mats G. Gustafsson 2

1 Division of Toxicology, National Food Administration, P.O. Box 622, SE-751 26 Uppsala, Sweden
2 Department of Engineering Sciences, Uppsala University, P.O. Box 528, SE-751 20 Uppsala, Sweden

* To whom correspondence should be addressed. E-mail: ulfh{at}slv.se.


  Abstract

Motivation: Identification of potentially allergenic proteins is needed for safety assessment of genetically modified foods, certain pharmaceuticals and various other products on the consumer market. Current methods in bioinformatic allergology exploit common features among allergens for detection of amino acid sequences of potentially allergenic proteins. Features for identification still unexplored are motifs occurring commonly in allergens, but rarely in ordinary proteins. In this paper we present an algorithm for the identification of such motifs with the purpose of biocomputational detection of amino acid sequences of potential allergens.

Results: Identification of allergen-representative peptides (ARPs) with low or no occurrence in proteins lacking allergenic properties is the essential component of our new method, designated DASARP (Detection based on Automated Selection of Allergen-Representative Peptides). This approach consistently outperforms the criterion based on identical peptide match for predicting allergenicity recommended by ILSI/IFBC and FAO/WHO and show comparable results to the alignment-based criterion as outlined by FAO/WHO.

Availability: The detection software and the ARP set needed for the analysis of a query protein reported here are properties of the Swedish National Food Agency and are available upon request. The protein sequence sets used in this work are publicly available on: http://www.slv.se/templatesSLV/SLV_Page____9343.asp. Allergenicity assessment for specific protein sequences of interest is also possible via ulfh@slv.se.


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