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Table 3 Successfully predicted pathogenic targets in top 10 for common diseases

From: M2PP: a novel computational model for predicting drug-targeted pathogenic proteins

Disease name

Rank

Target name

Have CDs

Evidence

Disease name

Rank

Target name

Have CDs

Evidence

Lung cancer

1

TNF

Yes

[40]

Colon cancer

4

ESR1

Yes

[46]

 

2

IL1B

Yes

[47]

 

5

ACE

Yes

[48, 49]

 

3

CTNNB1

Yes

[50, 51]

 

6

CYP2A6

Yes

[52]

 

4

ESR1

Yes

[53]

 

7

CA1

Yes

[54]

 

5

MMP9

Yes

[55]

 

8

PIK3CA

Yes

[56]

 

6

MAPK3

Yes

[57]

 

9

PLAU

Yes

[58]

 

7

SOD1

Yes

[59]

 

10

CYP2E1

Yes

[60]

 

8

AKT1

Yes

[61]

Leukemia

1

VEGFA

Yes

[43]

 

9

MAPK1

Yes

[62]

 

2

HIF1A

Yes

[63]

 

10

PTGS2

Yes

[64]

 

4

TGM2

Yes

[65]

Breast cancer

1

IL2

Yes

[41]

 

5

JUN

Yes

[66]

 

2

NR3C1

Yes

[67]

 

6

TP53

Yes

[68]

 

3

PON1

Yes

[69, 70]

 

7

AKT1

Yes

[71]

 

4

JAK2

Yes

[72]

 

8

GSTP1

Yes

[73, 74]

 

5

ICAM1

Yes

[75]

 

9

CDK4

Yes

[76]

 

6

VEGFA

Yes

[77]

 

10

SMO

Yes

[78]

 

7

CCL2

Yes

[79]

Lymphoma

1

CHKA

Yes

[44]

 

8

ADRB2

Yes

[80]

 

3

BCL2

Yes

[81]

 

9

PLAU

Yes

[82, 83]

 

4

GSTP1

Yes

[84, 85]

 

10

B2M

Yes

[86]

 

5

HMOX1

Yes

[87]

Colon cancer

1

MET

Yes

[42]

 

6

ATP6V1B2

Yes

[88]

 

2

NOS3

Yes

[89]

 

7

TP53

Yes

[90, 91]

 

3

ESR2

Yes

[92]

 

8

VEGFA

Yes

[93]