Skip to main content

Table 2 Performance of selectivity classification models

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

Classification model

Class

MCC

Sensitivity

Specificity

PPV

NPV

ROC

QSAR 2-class

A1AR

0.40 ± 0.13

0.62 ± 0.16

0.76 ± 0.11

0.57 ± 0.12

0.86 ± 0.07

0.87 ± 0.06

A2AAR

0.40 ± 0.13

0.76 ± 0.11

0.62 ± 0.16

0.86 ± 0.07

0.57 ± 0.12

0.87 ± 0.06

QSAR 3-class

A1AR

0.22 ± 0.15

0.25 ± 0.15

0.96 ± 0.02

0.31 ± 0.14

0.93 ± 0.02

0.76 ± 0.06

A2AAR

0.20 ± 0.17

0.33 ± 0.16

0.88 ± 0.02

0.35 ± 0.14

0.83 ± 0.04

0.62 ± 0.09

Dual

0.10 ± 0.09

0.81 ± 0.03

0.29 ± 0.10

0.75 ± 0.02

0.35 ± 0.08

0.58 ± 0.06

QSAR 3-class

A1AR

0.00 ± 0.07

0.11 ± 0.05

0.88 ± 0.07

0.10 ± 0.06

0.91 ± 0.02

0.64 ± 0.09

A2AAR

0.36 ± 0.12

0.47 ± 0.14

0.85 ± 0.10

0.59 ± 0.11

0.85 ± 0.02

0.65 ± 0.09

Non-binder

0.07 ± 0.13

0.67 ± 0.11

0.39 ± 0.12

0.70 ± 0.05

0.37 ± 0.12

0.50 ± 0.09

QSAR 4-class

A1AR

0.11 ± 0.10

0.12 ± 0.09

0.97 ± 0.01

0.18 ± 0.11

0.95 ± 0.01

0.70 ± 0.07

A2AAR

0.25 ± 0.16

0.29 ± 0.13

0.94 ± 0.02

0.39 ± 0.16

0.90 ± 0.02

0.67 ± 0.09

Dual

0.09 ± 0.05

0.51 ± 0.05

0.58 ± 0.08

0.50 ± 0.05

0.60 ± 0.02

0.58 ± 0.05

Non-binder

0.15 ± 0.06

0.51 ± 0.09

0.64 ± 0.06

0.47 ± 0.04

0.68 ± 0.05

0.57 ± 0.07

  1. Means of fivefold cross-validation with standard error of the mean (SEM). The class indicates the performance for that particular selectivity class: A1AR-selective, A2AAR-selective, dual (non-selective), and non-binders
  2. MCC Matthews Correlation Coefficient, PPV positive predictive value, NPV negative predictive value, ROC receiver operating characteristic