Please use this identifier to cite or link to this item: https://doi.org/10.1093/bioinformatics/btl621
Title: AllerTool: A web server for predicting allergenicity and allergic cross-reactivity in proteins
Authors: Zhang, Z.H.
Koh, J.L.Y.
Zhang, G.L.
Choo, K.H.
Tammi, M.T. 
Tong, J.C.
Issue Date: 15-Feb-2007
Citation: Zhang, Z.H., Koh, J.L.Y., Zhang, G.L., Choo, K.H., Tammi, M.T., Tong, J.C. (2007-02-15). AllerTool: A web server for predicting allergenicity and allergic cross-reactivity in proteins. Bioinformatics 23 (4) : 504-506. ScholarBank@NUS Repository. https://doi.org/10.1093/bioinformatics/btl621
Abstract: 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). A 10-fold cross-validation results showed that the area under the receiver operating curve (A ROC ) of SVM models is 0.90 with 86.00% sensitivity (SE) at specificity (SP) of 86.00%. © 2007 Oxford University Press.
Source Title: Bioinformatics
URI: http://scholarbank.nus.edu.sg/handle/10635/100036
ISSN: 13674803
DOI: 10.1093/bioinformatics/btl621
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