Skip to main content

Table 4 Top 5 predicted interactions which are not present in the datasets

From: VB-MK-LMF: fusion of drugs, targets and interactions using variational Bayesian multiple kernel logistic matrix factorization

Probability

Drug

Target

Drug name

Target name

DrugBank

NRLMF

Nuclear Receptor

 0.943

D00316

hsa6096

Etretinate

RARB

Yes

1

 0.671

D01132

hsa6097

Tazarotene

RARC

aRARB

6

 0.662

D01132

hsa190

Tazarotene

NR0B1

 

18

 0.529

D00898

hsa2100

Dienestrol

ESR2

Yes

7

 0.445

D00094

hsa6095

Tretinoin

RARA

Yes

26

GPCR

 0.966

D00283

hsa1814

Clozapine

DRD3

Yes

1

 0.956

D00110

hsa1813

Cocaine

DRD2

 

188

 0.938

D02358

hsa154

Metoprolol

ADRB2

Yes

2

 0.937

D02614

hsa154

Denopamine

ADRB2

Yes

4

 0.937

D04625

hsa154

Isoetharine

ADRB2

Yes

3

Ion Channel

 0.990

D00538

hsa6331

Zonisamide

SCN5A

Yes

9

 0.986

D00294

hsa3767

Diazoxide

KCNJ11

Yes

244

 0.985

D00552

hsa6331

Tetracaine

SCN5A

Yes

5

 0.983

D00438

hsa779

Nimodipine

CACNA1S

Yes

2

 0.983

D00649

hsa8911

Amiloride

CACNA1I

 

83

Enzyme

 0.999

D00542

hsa1571

Halothane

CYP2E1

Yes

1

 0.995

D00097

hsa5743

Salicylic acid

PTGS2

Yes

4

 0.995

D00437

hsa1559

Nifedipine

CYP2C9

Yes

5

 0.987

D00501

hsa50940

Pentoxifylline

PDE11A

aPDE5A

2

 0.986

D00501

hsa5150

Pentoxifylline

PDE7A

aPDE5A

3

  1. Many of the hits were confirmed by the current version of DrugBank. The asymbol indicates a known interaction with another member of the protein family. The last column denotes the rank of the interaction among the NRLMF predictions