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mhcflurry website  

MHCflurry implements class I peptide/MHC binding affinity prediction. By default it supports 112 MHC alleles using ensembles of allele-specific models. Pan-allele predictors supporting virtually any MHC allele of known sequence are available for testing (see below). MHCflurry runs on Python 2.7 and 3.4+ using the keras neural network library. It exposes command-line and Python library interfaces.

Environment Modules

Run module spider mhcflurry to find out what environment modules are available for this application.

System Variables

  • HPC_MHCFLURRY_DIR - installation directory
  • HPC_MHCFLURRY_BIN - executable directory


If you publish research that uses mhcflurry you have to cite it as follows:

T. J. O’Donnell, A. Rubinsteyn, M. Bonsack, A. B. Riemer, U. Laserson, and J. Hammerbacher, "MHCflurry: Open-Source Class I MHC Binding Affinity Prediction," Cell Systems, 2018.