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Table 6 Example showing the property (\(pK_a\) and anticommensal effect) predictions and associated uncertainties for 3 molecules

From: FP-ADMET: a compendium of fingerprint-based ADMET prediction models

Name

Anticommensal effect

Confidence

Credibility

\(\hat{pK_a}\)

Q = 0.025

Q = 0.975

G00001

Inactive

0.95

0.57

9.62

4.89

11.49

G00002

Active

0.95

0.51

4.41

− 1.60

13.06

G00003

Inactive

0.95

0.57

3.37

1.66

6.10

  1. \(Q=0.025\) and \(Q=0.975\) are the predictions calculated at percentiles 0.025 and 0.975 and allow for 95% prediction intervals