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