title: Improving Allergen Prediction in Main Crops Using a Weighted Integrative Method.
abstract: As a public health problem, food allergy is frequently caused by food allergy proteins, which trigger a type-I hypersensitivity reaction in the immune system of atopic individuals. The food allergens in our daily lives are mainly from crops including rice, wheat, soybean and maize. However, allergens in these main crops are far from fully uncovered. Although some bioinformatics tools or methods predicting the potential allergenicity of proteins have been proposed, each method has their limitation. In this paper, we built a novel algorithm PREALW, which integrated PREAL, FAO/WHO criteria and motif-based method by a weighted average score, to benefit the advantages of different methods. Our results illustrated PREALWhas better performance significantly in the crops' allergen prediction. This integrative allergen prediction algorithm could be useful for critical food safety matters. The PREALWcould be accessed at http://lilab.life.sjtu.edu.cn:8080/prealw .
authors.affiliation: Department of Bioinformatics and Biostatistics, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, 800 Dongchuan Road, Shanghai, 200240, People's Republic of China.
authors.forename: Jing
authors.initials: J
authors.lastname: Li
authors.affiliation: Center for Quantitative Sciences, Vanderbilt University School of Medicine, Nashville, TN, 37203, USA.
authors.forename: Jing
authors.initials: J
authors.lastname: Wang
authors.affiliation: Department of Bioinformatics and Biostatistics, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, 800 Dongchuan Road, Shanghai, 200240, People's Republic of China. jing.li@sjtu.edu.cn.
authors.forename: Jing
authors.initials: J
authors.lastname: Li
mesh_terms: D000465:Algorithms; D000485:Allergens / Q000276:immunology*; D019295:Computational Biology; D018556:Crops, Agricultural / Q000276:immunology*; D013025:Glycine max / Q000276:immunology; D014908:Triticum / Q000276:immunology; D003313:Zea mays / Q000276:immunology
chemical_list: D000485:Allergens
keywords: Allergen; Crops; Genome-wide screen; Integrative prediction