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Rational Design of Peptide Vaccines

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

Antigen Prediction

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

Databases (MHC, HLA )

vaccines.txt · Última modificación: 2017/12/28 11:22 por marenas