TepiTool

TepiTool predicts T cell epitopes by computing peptide binding to MHC class I and MHC class II alleles to support vaccine, diagnostic, and therapeutic immunology research.

Key Features:

• MHC Binding Prediction Algorithms: Integrates advanced MHC binding prediction algorithms to identify peptides that bind MHC class I and MHC class II molecules.
• Species Coverage: Performs predictions across multiple species including humans, chimpanzees, bovines, gorillas, macaques, mice, and pigs.
• Integration with IEDB: Developed as part of the Immune Epitope Database (IEDB) and integrated with IEDB resources for epitope data and analysis.

Scientific Applications:

• Vaccine Development: Identification of candidate T cell epitopes for inclusion in vaccine antigen design and prioritization.
• Diagnostic Tools: Prediction of epitopes for designing assays that detect antigen-specific T cell responses.
• Therapeutic Design: Identification of peptides likely to elicit or avoid T cell responses to inform protein therapeutic engineering.

Methodology:

Integration of MHC binding prediction algorithms to estimate peptide binding to MHC class I and II with species- and allele-specific considerations.