| Literature DB >> 17150996 |
Zong Hong Zhang1, Judice L Y Koh, Guang Lan Zhang, Khar Heng Choo, Martti T Tammi, Joo Chuan Tong.
Abstract
UNLABELLED: 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%. AVAILABILITY: AllerTool is freely available at http://research.i2r.a-star.edu.sg/AllerTool/.Entities:
Mesh:
Substances:
Year: 2006 PMID: 17150996 DOI: 10.1093/bioinformatics/btl621
Source DB: PubMed Journal: Bioinformatics ISSN: 1367-4803 Impact factor: 6.937