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. Author manuscript; available in PMC: 2018 May 30.
Published in final edited form as: Eur J Pharm Sci. 2017 Feb 24;103:52–59. doi: 10.1016/j.ejps.2017.02.011

Table 1.

Summary statistics for the Bayesian models.

MRP3 Inhibition Threshold Number of Inhibitors / Non-Inhibitors in Training Set Fingerprint Method Sensitivity Specificity Accuracy Area Under the ROC Curve
50% 17 /40 FCFP 73% 71% 72% 0.710
50% ECFP 86% 28% 58% 0.667
75% 13 / 44 FCFP 42% 68% 62% 0.558
75% ECFP 28% 68% 58% 0.539
90% 9 / 48 FCFP 75% 47% 55% 0.696
90% ECFP 75% 61% 65% 0.661

The Bayesian model selected for subsequent predictions is indicated in bold.

ROC: Receiver Operating Characteristic

FCFP: Functional-class Fingerprints

ECFP: Extended-connectivity Fingerprints