ProPred1

ProPred1 predicts peptide binding to Major Histocompatibility Complex (MHC) class-I alleles using matrix-based methods to identify promiscuous binders across 47 MHC class-I alleles for T-cell epitope and vaccine research.

Key Features:

• Matrix-based prediction: Utilizes allele-specific matrices for 47 MHC class-I alleles to score peptide–MHC class-I binding.
• MHC class-I binding site prediction: Identifies putative MHC class-I binding regions within antigenic sequences.
• Promiscuous binder identification: Detects peptides capable of binding multiple MHC class-I alleles (promiscuous regions).
• Proteasome and immunoproteasome cleavage prediction: Integrates standard proteasome and immunoproteasome models to predict cleavage sites, including C-terminal cleavage.
• Combined processing and presentation assessment: Couples cleavage prediction with binding scores to flag peptides likely to be processed and presented.

Scientific Applications:

• T-cell epitope mapping: Predicts peptides that bind MHC class-I and possess C-terminal proteasomal cleavage sites to support identification of candidate T-cell epitopes.
• Vaccine candidate selection: Identifies promiscuous binders across 47 MHC class-I alleles to prioritize broadly recognized epitope regions for vaccine design.
• Antigen processing studies: Uses proteasome and immunoproteasome cleavage predictions to investigate antigen processing and presentation likelihoods.

Methodology:

Matrix-based scoring using allele-specific matrices for 47 MHC class-I alleles combined with proteasome and immunoproteasome cleavage models to predict cleavage sites (including C-terminal cleavage) within antigenic sequences.