AlgPred: prediction of allergenic proteins and mapping of IgE epitopes

Welcome to the official repository for AlgPred, a web server that integrates multiple computational approaches to predict allergenic proteins and map IgE epitopes. This resource is designed to support researchers in food safety, allergy biology, and bioinformatics. Web Server: https://webs.iiitd.edu.in/raghava/algpred/ Citation Saha, S., & Raghava, G. P. S. (2006). AlgPred: prediction of allergenic proteins and mapping of IgE epitopes. Nucleic Acids Research, 34 (Web Server issue), W202–W209. https://doi.org/10.1093/nar/gkl343 About the Tool AlgPred is a web-based prediction server developed to assess the allergenic potential of proteins using amino acid sequences as input. It consolidates multiple state-of-the-art prediction strategies into a single, accessible platform — addressing the FAO/WHO 2003 recommendation to use a weight-of-evidence approach rather than any single test. The tool integrates methods based on: Support Vector Machine (SVM) using amino acid and dipeptide composition Motif-based prediction via MEME/MAST BLAST search against Allergen Representative Peptides (ARPs) IgE epitope similarity search Hybrid combinations of the above Key Features Dataset 578 allergens and 700 non-allergens for training/testing 323 allergens in the independent validation dataset 101,725 non-allergens from Swiss-Prot for false-positive evaluation 178 curated IgE epitopes (sourced from Bcipep and SDAP databases) 2,890 Allergen Representative Peptides (ARPs)