Network pharmacology-based strategy for predicting therapy targets of Sanqi and Huangjing in diabetes mellitus

doi:10.12998/wjcc.v10.i20.6900

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186

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2196

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347

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313

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Jul 16, 2022 (publication date) through Nov 25, 2024

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World Journal of Clinical Cases

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2307-8960

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Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA

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World J Clin Cases. Jul 16, 2022; 10(20): 6900-6914
Published online Jul 16, 2022. doi: 10.12998/wjcc.v10.i20.6900

Table 3 Top 9 genes based on the network of ingredients and overlapping targets

Rank	Name	Degree
1	PTGS2	13
2	PTGS1	11
3	HSP90AA1	9
4	PIK3CG	8
5	ADRB2	8
6	SQ	7
7	CASP3	5
8	BAX	5
9	SLC6A4	5

Citation: Cui XY, Wu X, Lu D, Wang D. Network pharmacology-based strategy for predicting therapy targets of Sanqi and Huangjing in diabetes mellitus. World J Clin Cases 2022; 10(20): 6900-6914
URL: https://www.wjgnet.com/2307-8960/full/v10/i20/6900.htm
DOI: https://dx.doi.org/10.12998/wjcc.v10.i20.6900