An automated benchmarking platform for MHC class II binding prediction methods.

Description: Computational methods for the prediction of peptide-MHC binding have become an integral and essential component for candidate selection in experimental T cell epitope discovery studies. The sheer amount of published prediction methods—and often discordant reports on their performance—poses a considerable quandary to the experimentalist who needs to choose the best tool for their research.