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Table 2 21 selected targets based on network analysis

From: An integrated strategy for identifying new targets and inferring the mechanism of action: taking rhein as an example

Target Name

Gene Symbol

Target Type

Be Enriched or Not

Betweenness Centrality

Heat shock protein 90 kDa alpha (cytosolic), class A member 1

HSP90AA1

Candidate

Yes

0.04743

Epidermal growth factor receptor

EGFR

Candidate

Yes

0.02710

Cyclin-dependent kinase 2

CDK2

Candidate

Yes

0.01959

Albumin

ALB

Candidate

No

0.01653

Glycogen synthase kinase 3 beta

GSK3B

Candidate

Yes

0.01317

V-rel reticuloendotheliosis viral oncogene homolog A (avian)

RELA

Known

Yes

0.00777

Mitogen-activated protein kinase 14

MAPK14

Candidate

Yes

0.00765

Nuclear factor of kappa light polypeptide gene enhancer in B-cells 1

NFKB1

Known

Yes

0.00364

Dipeptidyl-peptidase 4

DPP4

Candidate

No

0.00348

Mitogen-activated protein kinase 8

MAPK8

Candidate

Yes

0.00321

Lymphocyte-specific protein tyrosine kinase

LCK

Candidate

Yes

0.00279

Cyclin-dependent kinase 6

CDK6

Candidate

Yes

0.00277

RAB5A, member RAS oncogene family

RAB5A

Candidate

No

0.00275

Serpin peptidase inhibitor, clade A (alpha-1 antiproteinase, antitrypsin), member 1

SERPINA1

Candidate

No

0.00244

Cathepsin B

CTSB

Candidate

No

0.00241

Caspase 3, apoptosis-related cysteine peptidase

CASP3

Known

Yes

0.00238

K(lysine) acetyltransferase 2B

KAT2B

Candidate

No

0.00237

Retinoic acid receptor, alpha

RARA

Known

Yes

0.00198

Vascular endothelial growth factor A

VEGFA

Known

Yes

0.00178

Caspase 8, apoptosis-related cysteine peptidase

CASP8

Known

Yes

0.00165

Retinoid X receptor, alpha

RXRA

Known

Yes

0.00163