Literature DB >> 17150996

AllerTool: a web server for predicting allergenicity and allergic cross-reactivity in proteins.

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/.

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Year:  2006        PMID: 17150996     DOI: 10.1093/bioinformatics/btl621

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  5 in total

1.  Allergenic characterization of a novel allergen, homologous to chymotrypsin, from german cockroach.

Authors:  Kyoung Yong Jeong; Mina Son; Jae Hyun Lee; Chein Soo Hong; Jung Won Park
Journal:  Allergy Asthma Immunol Res       Date:  2014-12-18       Impact factor: 5.764

Review 2.  Allergic Diseases: A Comprehensive Review on Risk Factors, Immunological Mechanisms, Link with COVID-19, Potential Treatments, and Role of Allergen Bioinformatics.

Authors:  Fahad M Aldakheel
Journal:  Int J Environ Res Public Health       Date:  2021-11-18       Impact factor: 3.390

3.  AllerTOP--a server for in silico prediction of allergens.

Authors:  Ivan Dimitrov; Darren R Flower; Irini Doytchinova
Journal:  BMC Bioinformatics       Date:  2013-04-17       Impact factor: 3.169

4.  Evaluation and integration of existing methods for computational prediction of allergens.

Authors:  Jing Wang; Yabin Yu; Yunan Zhao; Dabing Zhang; Jing Li
Journal:  BMC Bioinformatics       Date:  2013-03-08       Impact factor: 3.169

5.  AllergenPro: an integrated database for allergenicity analysis and prediction.

Authors:  Chang-Kug Kim; Young-Joo Seol; Dong-Jun Lee; In-Seon Jeong; Ung-Han Yoon; Jong-Yeol Lee; Gang-Seob Lee; Dong-Suk Park
Journal:  Bioinformation       Date:  2014-06-30
  5 in total

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