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Updated: Mar 13, 2026

A Component-resolved Diagnostic Approach for a Study on Grass Pollen Allergens in Chinese Southerners with Allergic Rhinitis and/or Asthma
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Improving Allergen Prediction in Main Crops Using a Weighted Integrative Method.

Jing Li1, Jing Wang2, Jing Li3

  • 1Department of Bioinformatics and Biostatistics, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, 800 Dongchuan Road, Shanghai, 200240, People's Republic of China.

Interdisciplinary Sciences, Computational Life Sciences
|October 14, 2016
PubMed
Summary
This summary is machine-generated.

A new algorithm, PREAL^W, improves the prediction of food allergens from crops like rice and wheat. This tool integrates multiple methods for better food safety and public health.

Keywords:
AllergenCropsGenome-wide screenIntegrative prediction

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Area of Science:

  • Food science
  • Immunology
  • Bioinformatics

Background:

  • Food allergies are a significant public health issue, often triggered by proteins in common crops like rice, wheat, soybean, and maize.
  • Current bioinformatics tools for predicting protein allergenicity have limitations, and allergens in major crops are not fully identified.

Purpose of the Study:

  • To develop a novel, integrated algorithm for predicting food allergenicity in crops.
  • To improve the accuracy and reliability of allergen prediction compared to existing methods.

Main Methods:

  • Developed PREAL^W, a new algorithm integrating PREAL, FAO/WHO criteria, and a motif-based method using a weighted average score.
  • Evaluated the algorithm's performance in predicting allergens from major crop sources.

Main Results:

  • PREAL^W demonstrated significantly improved performance in predicting crop allergens.
  • The integrated approach effectively combined the strengths of different prediction methodologies.

Conclusions:

  • The novel PREAL^W algorithm offers enhanced accuracy for crop allergen prediction.
  • This integrative approach has potential applications in critical food safety assessments and public health initiatives.