IFNepitope2: Prediction and design of interferon-gamma inducing peptides
Reference: Dhall A, Patyal S, and Raghava GP (2024) A hybrid method for discovering interferon-gamma inducing peptides in human and mouse. Scientific Reports (In press).
Interferons (IFNs) are pleiotropic cytokines that belong to a protein family and play an essential role in innate and acquired immune responses, with antiviral, anticancer,and immunomodulatory activities, and serve as central immune response coordinators. Interferons are agents or substances that inhibit viral replication and protect cells from viral infection. IFNs are classified into three types: Type I IFNs (IFN α and IFN β), type II IFNs (IFN-γ), and the newly found type III IFNs are distinguished by their ability to bind certain receptors.
This tool allow the user to predict whether the given peptide is IFN-gamma inducing or non-inducing epitope using the composition-based methods.To predict the status of peptide user need to provide the machine learning method.
Design
This tool facilitates the user to design the IFN-inducing epitopes. This module is developed for generating all possible mutant of a peptide by mutating single residue at a time. This module also predict wheather mutants can induce IFN-gamma.
Scan
This tool facilitates the user to scan the IFN-inducing epitopes. This module is developed for the identification of IFN-inducing epitopes from a protein sequence.