IEDB Analysis Resource – Package of tools for immune epitope prediction and analysis, Dr. Sinu Paul

Biography: Dr. Sinu Paul is a bioinformatics scientist at the Immune Epitope Database and Analysis Resource Project located at the La Jolla Institute for Allergy & Immunology in San Diego, California. His work is mainly focused on development of computational algorithms and tools using machine learning techniques and statistical applications for application in immunology such as immune epitope prediction and analysis of epitope related data.

Synopsis: The IEDB Analysis Resource (IEDB-AR, http://tools.iedb.org) hosts a collection of tools for the prediction and analysis of immune epitopes. Epitopes are peptides derived from antigens and recognized by T cells which in turn result in generation of immune response. Identification of epitopes is important in several areas such as vaccine discovery, development of diagnostics and removal of unwanted immune responses against protein therapeutics. Experimental identification of epitopes can be laborious and time consuming. Therefore computational prediction tools are used nowadays to select epitope candidates. The IEDB-AR provides several methods for prediction of MHC class I and MHC class II binding affinity, antigen processing, immunogenicity and B cell epitopes as well as tools for analysis of epitope related data. The talk will give an overview of important tools available at IEDB-AR and brief descriptions on how to use them and interpret the results.

To Join: At the time of the conference click this link https://uchealth.zoom.us/j/458918439

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Start Time: 11AM PST / 2 PM EST