Systematically benchmarking peptide-MHC binding predictors: From synthetic to naturally processed epitopes - Fig 3

2018-11-08T18:29:49Z (GMT) by Weilong Zhao Xinwei Sher

Multiclass classification performance of MHC class I binding epitope prediction tools: (a) VUS; (b) SPE; (c) SRCC; (d): R-squared of linear regression. IC50 thresholds of 50 nM and 500 nM were used to classifying experimental measurements between strong binder, weak binder, and non-binder. The box plots of VUS and SRCC show values covering 95% confidence level. Note that IC50 is not calculated in MixMHCpred.