A systems pharmacology approach based on oncogenic signalling pathways to determine the mechanisms of action of natural products in breast cancer from transcriptome data

Table 1 Summary of the topological structure of subnetwork solutions indicating the number of proteins and their interactions in each dataset studied. The right part gives the subnetwork characteristics when separate subnetworks were constructed for up- and down-regulated genes

Compounds	Cell Lines	Genes	Interactions		Genes	Interactions
Actein	MDA-MB-453	829	3858	Up	327	687
Actein	MDA-MB-453	829	3858	Down	455	2166
CKI	MCF-7	1332	9331	Up	933	2838
CKI	MCF-7	1332	9331	Down	304	1676
I3C	MCF-7	1974	10,684	Up	453	1162
	MCF-7	1974	10,684	Down	1399	6816
	T47D	1681	7050	Up	620	1324
	T47D	1681	7050	Down	959	3254
	ZR751	1403	5457	Up	545	1105
	ZR751	1403	5457	Down	961	6323
	MDA-MB-231	93	126	Up	17	17
	MDA-MB-231	93	126	Down	86	111
	MDA-MB-157	86	110	Up	18	19
	MDA-MB-157	86	110	Down	75	106
	MDA-MB-436	541	1275	Up	98	120
	MDA-MB-436	541	1275	Down	402	932
WA	MCF-7	333	941	Up	117	353
	MCF-7	333	941	Down	202	564
	MDA-MB-231	998	3277	Up	456	1011
	MDA-MB-231	998	3277	Down	480	1208

ISSN: 2662-7671