This repository contains lists of MHC-binding peptides and T-cell epitopes that could be used to develop machine learning methods for immunology.
Data source and analysis platform for cancer vaccine target discovery focusing on human tumor antigens that contain HLA ligands and T cell epitopes
Flavivirus Antigen Database
A data mining system for knowledge discovery in flaviviruses with direct applications in immunology and vaccinology.
A knowledge-based system for evaluation and assesment of influenza vaccine target discovery.
Epstein-Barr Virus T cell Antigen Database
Data source and analysis platform for EBV immune target discovery by focusing on EBV antigens that contain HLA ligands and T cell epitopes.
Human Papillomavirus T cell Antigen Database
Data source and analysis platform for HPV immune target discovery by focusing on HPV antigens that contain HLA ligands and T cell epitopes.
Large-scale screening of peptide binding to multiple alleles belonging to human leukocyte antigen (HLA) class I and class II DR supertypes as well as to alleles belonging to an individual's genotype. Zhang et al,. 2010 [PMID: 21130094]
In silico identification of peptides binding to MHC alleles of cynomolgus macaques.
Sequence Analysis and Manipulation
Sequence logo visualization of peptide and sequence motif conservation.
Prediction and classification of histones using SVM.
Predicts methylation of cythosines from a DNA sequence.
Sequence variability and consensus plots
Variability plots from multiple sequence alignments using Shannon entropy.
Map Sequence variability (H) onto a 3D structure
Identifyisolvent exposed hydrophobic residues within a protein sequence, and compares them with those of closely related sequences.
Create a three dimensional representation of variability in HLA molecules
Microarray Data Analysis
An online webtool which implements the Concentration Dependent Analysis (CDA) algorithm for high density protein microarrays [PMID: 18393456]. It reads data files from in the Prospector output format and performs differential expression analysis.