IFNepitope


A server for predicting and designing
interferon-gamma inducing epitopes

OSDDlinux for Standalone, Galaxy & Local version

Welcome to IFNepitope Home Page

If you are using this webserver please cite Dhanda et. al 2013: Designing of interferon-gamma inducing MHC class-II binders. Biology Direct 2013
This web server is developed for users working in the field of vaccine design. This server allows users to predict and design IFN-gamma inducing peptides. It have following three modules.
Module Description
Predict This module allows users to predict the IFN-gamma inducing peptide/epitope in a set of peptides or peptide library (virtual screening). User may submit large number of peptides and server will predict and rank them based on their potential to induce IFN-gamma.
Design It generate mutant of a query peptide and predict IFN-gamma inducing epitopes in mutants. This server allows users to identify minimum mutations required to increase its potency.
Scan This module generates overlapping peptides of the query protein/antigen sequence and predicts IFN-gamma inducting ability of these antigenic regions. It allows users to identify regions in a protein/antigen have potency to induce IFN-gamma.
Background:In the modern era, computational biology have paved the way for more systematic approach in designing better and efficacious subunit vaccine against infectious pathogens. With subunit vaccines, the preferred approach is to use a small fragment of the pathogen to trigger specific immune response, rather than presenting whole organism to the host immune system. IFN-gamma is the signature cytokine of both the innate and adaptive immune system eliciting antiviral, immune regulatory as well as anti-tumor activities. The release of IFN-gamma is the major arm of the Th1 response critical for the control of intracellular pathogens, such as Mycobacterium tuberculosis.

IFNepitope is an online prediction server that aims to predict and design the peptides from protein sequences having the capacity to induce IFN-gamma release from CD4+ T cells. This server is developed with the intention to help microbiologists and immunologists to enable them to choose and design IFN-gamma inducing MHC class II binder peptides from proteins of interest to design better and effective subunit vaccines.