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Table 4 Performances of selectivity modeling using the two-step A1AR-A2AAR difference model or the selectivity-window model

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

Model 

Class

MCC

Sensitivity

Specificity

PPV

NPV

ROC

Trained on all double points, tested on all double points (non-binders and semi-selective compounds always true/false negative)

 A1AR-A2AAR difference

A1AR

0.15 ± 0.13

0.17 ± 0.14

0.99 ± 0.00

0.18 ± 0.12

0.98 ± 0.01

0.76 ± 0.09

A2AAR

0.11 ± 0.07

0.19 ± 0.09

0.94 ± 0.02

0.15 ± 0.07

0.94 ± 0.01

0.67 ± 0.14

Dual

0.26 ± 0.05

0.76 ± 0.02

0.50 ± 0.07

0.68 ± 0.02

0.59 ± 0.03

0.66 ± 0.02

 Selectivity-window

A1AR

0.07** ± 0.09

0.030.03

0.99 ± 0.00

0.10** ± 0.10

0.97 ± 0.00

0.87 ± 0.03

A2AAR

0.22 ± 0.12

0.15 ± 0.09

0.99 ± 0.00

0.42 ± 0.18

0.94 ± 0.01

0.74 ± 0.07

Dual

0.36 ± 0.06

0.85 ± 0.03

0.48 ± 0.03

0.69 ± 0.01

0.70 ± 0.06

0.70 ± 0.02

Trained on all double points, tested on only A1AR, A2AAR, and dual class

 A1AR-A2AAR difference

A1AR

0.19 ± 0.16

0.17 ± 0.14

0.99 ± 0.00

0.28 ± 0.18

0.96 ± 0.01

0.75 ± 0.09

A2AAR

0.28* ± 0.12

0.19 ± 0.09

0.98 ± 0.01

0.48* ± 0.15

0.91 ± 0.01

0.72 ± 0.15

Dual

0.25 ± 0.07

0.76 ± 0.02

0.57 ± 0.11

0.91 ± 0.02

0.28 ± 0.04

0.70 ± 0.05

 Selectivity-window

A1AR

0.17** ± 0.23

0.03 ± 0.03

0.99 ± 0.01

0.50** ± 0.50

0.92 ± 0.01

0.88 ± 0.04

A2AAR

0.32* ± 0.15

0.15 ± 0.09

1.00 ± 0.00

0.75* ± 0.25

0.82 ± 0.03

0.80 ± 0.07

Dual

0.33 ± 0.11

0.84 ± 0.04

0.46 ± 0.06

0.80 ± 0.02

0.55 ± 0.10

0.66 ± 0.04

Trained on only A1AR, A2AAR, and dual class, tested on only A1AR, A2AAR, and dual class

 Selectivity-window

A1AR

− 0.05*** ± 0.00

0.00 ± 0.00

0.99 ± 0.01

0.00*** ± 0.00

0.92 ± 0.01

0.81 ± 0.05

A2AAR

0.23 ± 0.18

0.25 ± 0.12

0.94 ± 0.03

0.43 ± 0.22

0.83 ± 0.03

0.66 ± 0.11

Dual

0.04 ± 0.12

0.69 ± 0.05

0.35 ± 0.09

0.73 ± 0.03

0.32 ± 0.09

0.53 ± 0.08

  1. The class indicates the performance for that particular selectivity class: A1AR-selective, A2AAR-selective, and dual (non-selective). The query compounds were categorized based on post-classification of the selectivity predictions: A1AR-selective when pActivity difference ≥ 2, A2AAR-selective when pActivity difference ≤ − 2, and dual binder when pActivity difference ≥ − 1 and ≤ 1
  2. MCC Matthews Correlation Coefficient, PPV positive predictive value, NPV negative predictive value, ROC receiver operating characteristic
  3. *1/5 folds failed, **3/5 folds failed, ***4/5 folds failed