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Table 4 Uncovering the False Negatives examples in Twosides database

From: On the robustness of generalization of drug–drug interaction models

Drug1

Drug2

Side effect (SE)

SE freq (%)

Probability

Random

One-unseen

Both-unseen

Fenofibrate

Valsartan

Hepatitis c

5.1

0.008

Verapamil

Fluvoxamine

Hepatitis c

5.1

0.019

0.034

Bupropion

Fluoxetine

Hepatitis a

1.0

0.052

0.008

Bupropion

Fluoxetine

HIV disease

0.9

0.084

0.009

Paroxetine

Risperidone

HIV disease

0.9

0.035

0.006

Mupirocin

Sertraline

Drug withdrawal

12.5

0.015

0.107

0.056

Amlodipine

Cerivastatin

Flu

10.4

0.028

0.050

Metoclopramide

Minoxidil

Road traffic accident

14.6

0.048

0.005

n-Acetylcysteine

Cefuroxime

Herpes simplex

6.8

0.029

0.028

Clonazepam

Salmeterol

Adverse drug effect

7.5

0.048

0.048

  1. The table shows the drug–drug potential side effect and their probability of existence predicted by the 1D-CNN model