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Table 4 Potentially-druggable PPIs predicted by the SVM-based method. a

From: Assessing the druggability of protein-protein interactions by a supervised machine-learning method

PPI

PPI

Protein 1

Protein 2

Protein 1

Protein 2

APC

CTNNB1

CTNNB1

CTNNBIP1

ARHGAP1

CDC42

E2F2

RB1

ARHGDIA

CDC42

EGFR

ERRFI1

ARHGDIA

RAC1

EP300

CITED2

ARHGDIA

RAC2

EP300

HIF1A

BCL2L1

BECN1

EP300

MYB

BCL9

CTNNB1

GSK3B

AXIN1

CALM1

KCNN2

HRAS

RALGDS

CALM1

RYR1

HRAS

RASA1

CALM2

MARCKS

MAX

MYC

CD247

SHC1

NCF2

RAC1

CDC42

ITSN1

NFKB1

TXN

CDC42

MCF2L

NFKBIB

RELA

CDC42

WAS

RAC1

ARFIP2

CDH1

CTNNB1

RAF1

RAP1A

CREBBP

CITED2

RPA1

TP53

CREBBP

HIF1A

S100B

TP53

CREBBP

IRF3

SMAD2

ZFYVE9

CREBBP

MYB

SMAD4

SKI

CTNNA1

JUP

TP53

TP53BP1

CTNNB1

BTRC

TP53

TP53BP2

  1. aFor details, see Additional file 1: Table S3. PPIs were listed if an instance of the PPIs had the druggability scores of >9,000 by the SVM model using all attributes and >6,500 by the model using the top 10 attributes by F-score.