A reverse network pharmacology and bioinformatics-based approach to exploring medication patterns for polycystic ovary syndrome-related infertility

This study successfully employed reverse network pharmacology to predict a core herbal combination for treating PCOS-related infertility. The findings, while requiring experimental validation, offer novel insights for developing therapeutic strategies and provide a foundation for future clinical management.

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Publication Details

Journal
Frontiers in Medicine
Published
2025-11-05
DOI
https://doi.org/10.3389/fmed.2025.1614165
Primary Topic
Ovarian function and disorders
Type
article
Field-Weighted Citation Impact
0.00
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article

A reverse network pharmacology and bioinformatics-based approach to exploring medication patterns for polycystic ovary syndrome-related infertility

Fan Jia, Jing Hu, Yahong Zhou, Yueyan Wang et al.
Frontiers in Medicine
Ovarian function and disorders
article

A reverse network pharmacology and bioinformatics-based approach to exploring medication patterns for polycystic ovary syndrome-related infertility

Fan Jia, Jing Hu, Yahong Zhou, Yueyan Wang, Haixia Huang, Zhuozheng Shi
article en

Abstract

This study successfully employed reverse network pharmacology to predict a core herbal combination for treating PCOS-related infertility. The findings, while requiring experimental validation, offer novel insights for developing therapeutic strategies and provide a foundation for future clinical management.

Frontiers in MedicineVol. 12
Jiangnan University (CN), Nanjing University of Chinese Medicine (CN), Wuxi Taihu Hospital (CN), Wuxi People's Hospital (CN)
Openalex Percentile: Top 58%
Ovarian function and disorders
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A reverse network pharmacology and bioinformatics-based approach to exploring medication patterns for polycystic ovary syndrome-related infertility — Fan Jia, Jing Hu, et al. · Frontiers in Medicine (2025) | TGRS Research Map | TGRS