Cite: Sharma et al. (2020) AlgPred 2.0: an improved method for predicting allergenic
proteins and mapping of IgE epitopes, Briefings in Bioinformatics,bbaa294.

Major Features

AlgPred 2.0 is an updated version of our old server AlgPred developed for predicting allergenic proteins (See Nucleic Acids Res. 2006; 34 : W202–W209). It utilize wide range of information and techniques for prediction that includes machine learning techniques, BLAST, MEME/MAST and IgE epitope mapping. Our models have been trained on large dataset that contain 10075 allergens and 10075 non-allergens. This server allow user to map 10451 IgE epitopes as well as blast search against these IgE epitopes. In addition to following major modules, server also have following important links; i) Download (Standalone Version & Datasets), ii) Algorithm, iii) Help page, iv) Team and iv) Contact.

Prediction of Allergens

This page allow user to submit their protein sequences in FASTA format for prediction of allergenic proteins.

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Mapping of IgE Epitopes

This module is designed for mapping experimentally validated IgE epitopes on a query protein.

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Mapping of Motifs

Allergen-specific motifs can be mapped on a protein submitted by user using software MAST and MERCI.

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Similarity by BLAST

Allow to perform BLAST search against database of allergens/non-allergens and against IgE epitopes.

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