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Table 5 Performance of the selectivity-window model on an external validation set

From: Quantitative prediction of selectivity between the A1 and A2A adenosine receptors

Model 

Class

MCC

Sensitivity

Specificity

PPV

NPV

ROC

Selectivity-window

A1AR

0.13

0.39

0.83

0.12

0.96

0.75

A2AAR

0.40

0.24

1.00

0.70

0.97

0.66

Dual

0.02

0.81

0.21

0.64

0.39

0.37

Selectivity-window and bioactivity filtered

A1AR

0.18

1.00

0.16

0.21

1.00

0.66

A2AAR

0.88

1.00

0.97

0.80

1.00

0.98

Dual

0.00

1.00

0.28

0.72

  1. The query compounds were categorized based on post hoc optimized classification of the selectivity predictions: A1AR-selective when selectivity-window ≥ 0.5, A2AAR-selective when selectivity-window ≤ − 2, and dual binder when selectivity-window ≥ − 1 and < 0.5
  2. MCC Matthews Correlation Coefficient, PPV positive predictive value, NPV negative predictive value, ROC receiver operating characteristic