Bioinformatics Advance Access published online on December 6, 2006
Bioinformatics, doi:10.1093/bioinformatics/btl621
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1 Institute for Infocomm Research, 21 Heng Mui Keng Terrace, Singapore 119613
* To whom correspondence should be addressed.
Summary: Assessment of potential allergenicity and patterns of cross-reactivity is necessary whenever novel proteins are introduced into human food chain. Current bioinformatic methods in allergology focus mainly on the prediction of allergenic proteins, with no information on cross-reactivity patterns among known allergens. In this study, we present AllerTool, a web server with essential tools for the assessment of predicted as well as published cross-reactivity patterns of allergens. The analysis tools include graphical representation of allergen cross-reactivity information; a local sequence comparison tool that displays information of known cross-reactive allergens; a sequence similarity search tool for assessment of cross-reactivity in accordance to FAO/WHO Codex alimentarius guidelines; and a method based on support vector machine (SVM). 10-fold cross-validation results showed that the area under the receiver operating curve (AROC) of SVM models is 0.90 with 86.00% sensitivity at specificity of 86.00%. Availability: AllerTool is freely available at http://research.i2r.a-star.edu.sg/AllerTool/.
Received August 21, 2006
Revised November 23, 2006
Accepted December 1, 2006
Applications note
AllerTool: a web server for predicting allergenicity and allergic cross-reactivity in proteins
Zong Hong Zhang 1 *, Judice L. Y. Koh 1, Guang Lan Zhang 1, Khar Heng Choo 1, Martti T. Tammi 2, and Joo Chuan Tong 1
2 Department of Biological Sciences, National University of Singapore, 14 Science Drive 4, Singapore 117543
Zong Hong Zhang, E-mail: zhzhang{at}i2r.a-star.edu.sg
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Abstract
Associate Editor: John Quackenbush
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