A Novel Network Pharmacology Strategy for Retrieving a Key FunctionalComponent Group and Mechanisms in the Di-Huang-Yin-Zi Treatment ofParkinson's Disease

This robust and precise algorithm allowed us to optimize Di-Huang-Yin-Zi. This provided preliminary insights into its potential molecular mechanisms for treating PD, laying a foundation for the secondary development of other formulas.

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Publication Details

Journal
Current Neuropharmacology
Published
2025-10-02
DOI
https://doi.org/10.2174/011570159x378077250822115218
Citations
1
Primary Topic
Computational Drug Discovery Methods
Type
article
Field-Weighted Citation Impact
1.50
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article

A Novel Network Pharmacology Strategy for Retrieving a Key FunctionalComponent Group and Mechanisms in the Di-Huang-Yin-Zi Treatment ofParkinson's Disease

Shaogang Qu, Daogang Guan, Jianhua Yang, Zongwei Cai et al.
1 citations
Current Neuropharmacology
Computational Drug Discovery Methods
1.50
article

A Novel Network Pharmacology Strategy for Retrieving a Key FunctionalComponent Group and Mechanisms in the Di-Huang-Yin-Zi Treatment ofParkinson's Disease

Shaogang Qu, Daogang Guan, Jianhua Yang, Zongwei Cai, Yigang Tong, Siqiang Ren, Han Zhang, Yi Li, Qi Qu
article en
1 citations

Abstract

This robust and precise algorithm allowed us to optimize Di-Huang-Yin-Zi. This provided preliminary insights into its potential molecular mechanisms for treating PD, laying a foundation for the secondary development of other formulas.

Current NeuropharmacologyVol. 23
Hong Kong Baptist University (HK), Ganzhou People's Hospital (CN), Shanghai Center for Brain Science and Brain-Inspired Technology (CN), Southern Medical University (CN)
Openalex Percentile: Top 13%
Computational Drug Discovery Methods
1.50
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A Novel Network Pharmacology Strategy for Retrieving a Key FunctionalComponent Group and Mechanisms in the Di-Huang-Yin-Zi Treatment ofParkinson's Disease — Shaogang Qu, Daogang Guan, et al. · Current Neuropharmacology (2025) | TGRS Research Map | TGRS