Paper Info
Title
AllerTool: a web server for predicting allergenicity and allergic cross-reactivity in proteins
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 (AROC) of SVM models is 0.90 with 86.00% sensitivity (SE) at specificity (SP) of 86.00%. Availability: AllerTool is freely available at http://research.i2r.a-star.edu.sg/AllerTool/ Contact: zhzhang@i2r.a-star.edu.sg
Year
DOI
Venue
2007
10.1093/bioinformatics/btl621
Bioinformatics
Keywords
Field
DocType
food chain,cross validation,support vector machine,receiver operator curve
Analysis tools,Data mining,Receiver operating characteristic,Computer science,Support vector machine,Bioinformatics,Cross-reactivity,Nearest neighbor search,Web server
Journal
Volume
Issue
ISSN
23
4
1367-4803
Citations 
PageRank 
References 
7
0.73
5
Authors
6
Name
Order
Citations
PageRank
Zong Hong Zhang1211.86
J L Koh211014.39
G.L. Zhang320816.91
Khar Heng Choo41293.79
Martti T. Tammi520414.48
Joo Chuan Tong61829.00