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Table 5 g-score, z-score and p-value of the most relevant networks

From: In-silico prediction of drug targets, biological activities, signal pathways and regulating networks of dioscin based on bioinformatics

No Process Size Target p-value z-score g-score
Human
1 mRNA metabolic process (19.5%), 50 16 4.35e-39 80.59 93.09
RNA metabolic process (29.3%),
response to chemical stimulus (41.5%)
2 cell division (40.0%), 50 9 1.72e-21 55.79 55.79
mitosis (35.0%),
nuclear division(35.0%)
3 glycogen metabolic process (23.1%), 50 9 2.39e-21 54.90 54.90
cellular glucan metabolic process (23.1%),
glucan metabolic process (23.1%)
4 intracellular signaling cascade (51.3%), 50 11 2.32e-22 50.84 52.09
signal transduction (71.8%),
biological regulation (97.4%)
5 DNA metabolic process (40.5%), 50 9 1.15e-19 45.25 51.50
cellular response to DNA damage stimulus (31.0%),
response to DNA damage stimulus (31.0%)
Rat
1 peptidyl-cysteine S-nitrosylation (100.0%), 7 1 2.54e-04 62.68 62.68
drug catabolic process (100.0%),
exogenous drug catabolic process (100.0%)
2 regulation of metal ion transport (26.5%), 50 3 1.78e-08 39.59 39.59
regulation of ion transport (26.5%),
negative regulation of potassium ion transport (14.7%)
3 No processes found 4 0 1.00e + 00 0.00 0.00
Mouse
1 N-acetylglucosamine biosynthetic process (100.0%), 3 1 1.82e-04 74.17 74.17
UDP-N-acetylglucosamine biosynthetic process (100.0%),
glucosamine biosynthetic process (100.0%)
2 positive regulation of immune system process (44.8%), 50 5 1.42e-14 64.51 65.76
regulation of immune system process (51.7%),
regulation of response to stimulus (51.7%)
3 positive regulation of Schwann cell differentiation (50.0%), 16 1 5.45e-04 42.81 42.81
regulation of Schwann cell differentiation (50.0%),
response to cobalamin (50.0%)
4 response to other organism (100.0%), 5 1 9.08e-04 33.15 33.15
response to biotic stimulus (100.0%),
5 transepithelial chloride transport (33.3%), 9 1 1.09e-03 30.26 30.26
transepithelial transport (33.3%),
somatic hypermutation of immunoglobulin genes (33.3%)