AlgPred 2.0: an improved method for predicting allergenic proteins and mapping of IgE epitopes

• Published in: Briefings in bioinformatics Vol. 22; no. 4
• Main Authors: Sharma, Neelam, Patiyal, Sumeet, Dhall, Anjali, Pande, Akshara, Arora, Chakit, Raghava, Gajendra P S
• Format: Journal Article
• Language: English
• Published: Oxford Oxford University Press 01.07.2021; Oxford Publishing Limited (England)
• Subjects: Alignment; Allergens; Antigens; Correlation coefficient; Correlation coefficients; Datasets; Epitope mapping; Immunoglobulin E; Internet; Learning algorithms; Machine learning; Peptide mapping; Performance evaluation; Prediction models; Predictions; Proteins; Searching; Servers; Similarity; Training; IgE epitope; prediction; MEME/MAST; machine learning; MERCI; BLAST; allergens

Abstract AlgPred 2.0 is a web server developed for predicting allergenic proteins and allergenic regions in a protein. It is an updated version of AlgPred developed in 2006. The dataset used for training, testing and validation consists of 10 075 allergens and 10 075 non-allergens. In addition, 10 4...