Drug Target Prediction Based on the Herbs Components: The Study on the Multitargets Pharmacological Mechanism of Qishenkeli Acting on the Coronary Heart Disease

Table 1

Significantly enriched KEGG biological pathways among top 0.1% candidate target genes of QSKL compositive compounds.

KEGG pathway number and name	𝑃 valuea	Coverageb
hsa04080 neuroactive ligand-receptor interaction	1.17𝐸−10	0.1358
hsa00970 aminoacyl-tRNA biosynthesis	1.54𝐸−08	0.3171
hsa04020 calcium signaling pathway	1.34𝐸−06	0.1348
hsa00260 glycine, serine, and threonine metabolism	3.90𝐸−04	0.2258
hsa04614 renin-angiotensin system	7.51𝐸−04	0.2941
hsa00290 valine, leucine, and isoleucine biosynthesis	1.09𝐸−03	0.3636
hsa00590 arachidonic acid metabolism	1.12𝐸−03	0.1552
hsa00350 tyrosine metabolism	4.42𝐸−03	0.1522
hsa04260 cardiac muscle contraction	1.02𝐸−02	0.1125
hsa00330 arginine and proline metabolism	1.07𝐸−02	0.1296
hsa04270 vascular smooth muscle contraction	1.13𝐸−02	0.0960
hsa00250 alanine, aspartate, and glutamate metabolism	1.22𝐸−02	0.1613
hsa04144 endocytosis	2.32𝐸−02	0.0802
hsa04115 p53 signaling pathway	3.69𝐸−02	0.1014
hsa00071 fatty acid metabolism	4.09𝐸−02	0.1190
hsa00591 linoleic acid metabolism	4.11𝐸−02	0.1379

aA pathway is significantly enriched with candidate target genes when its corresponding upper-tailed 𝑃 value of hypergeometric cumulative distribution is smaller than 0.05. The pathways are ranked according to the order of the increasing 𝑃 values. bThe coverage for each pathway is referred to as the fraction of candidate target genes among all the pathway member genes.