SVMTrip: A Method to Predict Antigenic Epitopes Using Support Vector Machine to Integrate Tri-Peptide Similarity and Propensity

NetMHCpan Prediction of peptide-MHC class I binding using artificial neural networks (ANNs).

Rankpep: prediction of binding peptides to Class I and Class II MHC molecules

GenScript's OptimumAntigen™ Design Program are optimized using the industry's most advanced antigen design algorithm.

Peptide Library design tools. Overlapping peptide library can be used in epitope mapping.

Jenner-Predict: The objective of developing “Jenner-Predict” server is to provide credible vaccine candidates and information related to their immunogenic potential, conservation and autoimmunity in host

http://www.ebi.ac.uk/ipd/imgt/hla/

https://gwas.biosciencedbc.jp/cgi-bin/hladb/hla_top.cgi

http://www.allelefrequencies.net

https://www.ncbi.nlm.nih.gov/gv/mhc/

http://www.ebi.ac.uk/ipd/imgt/hla/allele.html

https://www.ebi.ac.uk/ipd/mhc/

http://hla.alleles.org/nomenclature/index.html