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January 12, 2026Combinatorial Chemistry & High Throughput Screening

Network Pharmacology-Based Prediction of the Mechanistic Targets of CHKG in Treating Postpartum Hemorrhage

Y Gu Xiaoxiao Ke Tong Zhu Jia Liu Xiaowei Fan Tiantian Xiang Shangyang Lin Yijie Qian Zhipeng Chen Yanxia Yu Chenqi Zhu

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Key Points

This research aims to explore the pharmacological mechanisms of Chan-Hou-Kang-Gao (CHKG) in treating postpartum hemorrhage (PPH).
Utilized UPLC-Q-TOF/MS to identify chemical constituents of CHKG.
Applied network pharmacology to predict active compounds and targets.
Conducted PPI analysis and molecular docking for interaction validation.
Performed GO and KEGG pathway enrichment analysis of overlapping targets.
Identified 173 compounds in CHKG with 67 unique targets related to PPH.
Constructed a compound-target interaction network showing 137 nodes and 378 edges.
Detected key pathways related to immune response, endocrine signaling, and inflammation.

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Implication

Network pharmacology predicts therapeutic targets of CHKG in postpartum hemorrhage, suggesting its efficacy in treatment.

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Cite This Study

Gu et al. (2026) studied this question.

synapsesocial.com/papers/6975b36bfeba4585c2d6ee9f https://doi.org/10.2174/0113862073422452251121102657

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