Exploring the Mechanisms of Arsenic Trioxide (Pishuang) in Hepatocellular Carcinoma Based on Network Pharmacology

Table 1

Network topology analysis of targets (top 20 of degree).

No.	Targets	Degree	Average shortest path length	Closeness centrality	Neighborhood connectivity	Radiality
1	AKT1	10	1.873	0.534	15.900	0.782
2	RAF1	7	1.968	0.508	20.143	0.758
3	RELA	7	1.968	0.508	20.429	0.758
4	RPS6KB1	6	2.000	0.500	22.667	0.750
5	TP53	5	2.032	0.492	26.400	0.742
6	PTEN	5	2.032	0.492	26.200	0.742
7	VEGFA	5	2.032	0.492	26.400	0.742
8	CASP3	5	2.032	0.492	24.400	0.742
9	PTGS2	5	2.032	0.492	24.200	0.742
10	BCL2	5	2.032	0.492	26.200	0.742
11	CASP9	5	2.032	0.492	26.400	0.742
12	CDK2	5	2.032	0.492	26.200	0.742
13	RAC1	5	2.032	0.492	26.400	0.742
14	BCL2L1	4	2.063	0.485	31.250	0.734
15	GSK-3B	4	2.063	0.485	31.000	0.7341
16	SIRT1	4	2.063	0.485	28.750	0.7341
17	PPARG	3	2.095	0.477	36.667	0.726
18	JAK2	3	2.095	0.477	40.000	0.726
19	MMP9	3	2.095	0.477	36.667	0.726
20	HNF4A	3	2.095	0.477	36.667	0.726