Network Pharmacology Integrated Molecular Docking Reveals the Mechanism of Zhongfeng Xingnao Formula against Intracerebral Hemorrhage

Abstract Background: Previous studies have shown that Zhongfeng Xingnao Formula (ZXF) can effectively reduce the mortality of intracerebral hemorrhage (ICH), but the underlying mechanism of the treatment remained still unexplored. This study aimed to expound the potential mechanism of ZXF in the treatment of ICH through network pharmacology and molecular docking.Methods: The putative targets of ZXF were obtained from the TCMSP and Uniprot database, while the potential targets of ICH received from Drugbank, Genecards and OMIM database. Then through the Venn 2.1, the overlapping targets of disease and drug were gotten for the further study. The GO and KEGG enrichment analyses were performed by R version 4.0.2 software so that the signaling pathway was acquired to the subsequent analysis. Cytoscape was used to construct the drug-compound-target-pathway network and String was utilized for the protein-protein interaction network. What’s more, the interaction between compound and target was verified by the AutoDockTools and Autodock Vina. Results: There were a total of 166 ZXF-related targets and 1258 ICH-related targets obtained from the public databases. And 87 potential targets were both related to drug and disease. The GO enrichment analysis mainly involved receptor ligand activity, signaling receptor activator activity, and cytokine receptor binding, while the signaling pathway, such as Fluid shear stress and atherosclerosis, AGE-RAGE signaling pathway in diabetic complications, PI3K-Akt signaling pathway, were significantly enriched in the KEGG enrichment analysis. The molecular docking elucidated that the aloe-emodin, beta-sitosterol, quercetin could bound well to the top five targets sorted by degree value.Conclusions: ZXF treated ICH through multiple compounds, multiple targets, and multiple pathways. The underlying mechanism of the treatment may be promoting angiogenesis, anti-inflammatory, anti-oxidative stress, and reversing atherosclerosis, which is of great significance for the treatment of ICH.

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The Underlying Mechanism of Chinese Herb of Regulating Marrow in the Treatment of Osteonecrosis of the Femoral Head Based on Network Pharmacology and Molecular Docking

10.21203/rs.3.rs-699020/v1 ◽

2021 ◽

Author(s):

Xiaojian Wang ◽

Rui Wang ◽

Ting Xu ◽

Hongting Jin ◽

Peijian Tong ◽

...

Keyword(s):

Molecular Docking ◽

Chinese Medicine ◽

Signaling Pathway ◽

Kegg Pathway ◽

Enrichment Analysis ◽

Underlying Mechanism ◽

Chinese Herbs ◽

Network Pharmacology ◽

Active Components ◽

Pathway Enrichment

Abstract Background The lesion of marrow is a crucial factor in orthopedic diseases, which is recognized by orthopedics-traumatology expert from "Zhe-School of Chinese Medicine". The Chinese herbs of regulating marrow has been widely used to treat osteonecrosis of the femoral head (ONFH) in China, while the interaction mechanisms were still elucidated. Thus, we conducted this study to explore the underlying mechanism of the five highest-frequency Chinese herbs of regulating marrow(HF-CHRM) in the treatment of ONFH with the aid of network pharmacology(NP) and molecular docking(MD). Methods The active components and potential targets of HF-CHRM were obtained through several online databases, such as Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform(TCMSP), UniProt database. The gene targets related to ONFH were collected with the help of the OMIM and GeneCards disease-related databases. The "drug- component-target-disease" network and protein-protein interaction(PPI) network of the drug and disease intersecting targets were constructed by using Cytoscape software and the STRING database. R software was used for Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses. The MD of critical components and targets was carried out using Autodock Vina and Pymol to validate the binding affinity. Results A total of 54 active components, 1074 drug targets and 195 gene targets were obtained. There were 1219 ONFH related targets. 39 drug and disease intersection targets(representative genes: IL6, TP53, VEGFA, ESR1, IL1B) were obtained and considered potential therapeutic targets. 1619 items were obtained by the GO enrichment analysis, including 1517 biological processes, 10 cellular components and 92 molecular functions, which is mainly related to angiogenesis, bone and lipid metabolism and inflammatory reaction. The KEGG pathway enrichment analysis revealed 119 pathways, including AGE-RAGE signaling pathway, PI3K-Akt signaling pathway and IL-17 signaling pathway. MD results showed that quercetin, wogonin, and kaempferol active components had good affinity with IL6, TP53, and VEGFA core proteins. Conclusion The HF-CHRM can treat ONFH by multi-component, multi-target, and multi-pathway comprehensive action.

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Investigation of Active Ingredients and Mechanism of Sanao Decoction in the Treatment of Chronic Cough by Network Pharmacology

10.21203/rs.3.rs-127466/v1 ◽

2020 ◽

Author(s):

Mengke Sheng ◽

Xing Liu ◽

Qingsong Qu ◽

Xiaowen Wu ◽

Yuyao Liao ◽

...

Keyword(s):

Molecular Docking ◽

Signaling Pathway ◽

Chronic Cough ◽

Fluid Shear Stress ◽

Oxidant Stress ◽

Network Pharmacology ◽

Ppi Network ◽

Active Ingredients ◽

Active Components ◽

Pathway Network

Abstract Background: Chronic cough significantly affects human health and quality of life. Studies have shown that Sanao Decoction（SAD）can clinically treat chronic cough. To investigate its mechanisms, we used the method of network pharmacology to conduct research at the molecular level.Methods: The active ingredients and their targets were screened by pharmacokinetics parameters from the traditional Chinese medicine system pharmacology analysis platform (TCMSP). The relevant targets of chronic cough were obtained from two databases: GeneCards and DrugBank. Take the intersection to get potential targets of SAD to treat chronic cough and establish the component-target regulatory network by CytoScape3.7.2 and protein-protein interaction (PPI) network by STRING 1.0. The function of the target gene and related pathways were analyzed by the Gene Ontology (GO) and the Kyoto Encyclopedia of Genes and Genomes (KEGG) in the Database for Annotation, Visualization, and Integrated Discovery (DAVID). The significant pathways and their relevant targets were obtained and the target-pathway network was established by CytoScape3.7.2. Finally, molecular docking of the core active components and relevant targets was performed.Results: A total of 98 active components, 113 targets were identified. The component-target and target-pathway network of SAD and PPI network were established. Enrichment analysis of DAVID indicated that 2062 terms were in biological processes, 77 in cellular components, 142 in molecular functions and 20 significant pathways. In addition, the molecular docking showed that quercetin and luteolin had a good combination with the corresponding targets.Conclusions: It indicates that the active compounds of SAD, such as quercetin, luteolin, may act on AKT1, MAPK1, RELA, EGFR, BCL2 and regulate PI3K-Akt signaling pathway, AGE-RAGE signaling pathway in diabetic complications and Fluid shear stress and atherosclerosis pathway to exert the effects of anti-inflammatory, anti-airway remodeling, anti-oxidant stress and repair airway damage to treat chronic cough.

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Network Pharmacology Approach to Uncover the Mechanism Governing the Effect of Simiao Powder on Knee Osteoarthritis

BioMed Research International ◽

10.1155/2020/6971503 ◽

2020 ◽

Vol 2020 ◽

pp. 1-13

Author(s):

Zhengquan Huang ◽

Xiaoqing Shi ◽

Xiaochen Li ◽

Li Zhang ◽

Peng Wu ◽

...

Keyword(s):

Molecular Docking ◽

Knee Osteoarthritis ◽

Signaling Pathway ◽

Protein Interaction ◽

Cell Metabolism ◽

Interaction Network ◽

Enrichment Analysis ◽

Network Pharmacology ◽

Active Components ◽

Discovery Studio

Objective. To explore the molecular mechanism of Simiao powder in the treatment of knee osteoarthritis. Methods. Based on oral bioavailability and drug-likeness, the main active components of Simiao powder were screened using the Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform (TCMSP). GeneCard, OMIM, DisGeNET, DrugBank, PharmGkb, and the Therapeutic Target Database were used to establish target databases for knee osteoarthritis. Cytoscape software was used to construct a visual interactive network diagram of “active ingredient - action target – disease.” The STRING database was used to construct a protein interaction network and analyze related protein interaction relationships. Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway and Gene Ontology (GO) biological process enrichment analysis were performed on the core targets. Additionally, Discovery Studio software was used for molecular docking verification of active pharmaceutical ingredients and disease targets. Results. Thirty-seven active components of Simiao powder were screened, including 106 common targets. The results of network analysis showed that the targets were mainly involved in regulating biological processes such as cell metabolism and apoptosis. Simiao powder components were predicted to exert their therapeutic effect on the AGE-RAGE signaling pathway in diabetic complications, IL-17 signaling pathway, TNF signaling pathway, Toll-like receptor signaling pathway, and HIF-1 signaling pathway. The molecular docking results showed that the active components of Simiao powder had a good match with the targets of IL1B, MMP9, CXCL8, MAPK8, JUN, IL6, MAPK1, EGF, VEGFA, AKT1, and PTGS2. Conclusion. Simiao powder has multisystem, multicomponent, and multitarget characteristics in treating knee osteoarthritis. Its possible mechanism of action includes inhibiting the inflammatory response, regulating immune function, and resisting oxidative stress to control the occurrence and development of the disease. Quercetin, wogonin, kaempferol, beta-sitosterol, and other active ingredients may be the material basis for the treatment of knee osteoarthritis.

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Systematic evaluation of the mechanisms of Mulberry leaf (Morus alba Linne) acting on diabetes based on network pharmacology and molecular docking

Combinatorial Chemistry & High Throughput Screening ◽

10.2174/1386207323666200914103719 ◽

2020 ◽

Vol 23 ◽

Author(s):

Qiguo Wu ◽

Yeqing Hu

Keyword(s):

Molecular Docking ◽

Signaling Pathway ◽

Enrichment Analysis ◽

Network Pharmacology ◽

Pathway Enrichment Analysis ◽

Active Compounds ◽

Pathway Network ◽

Pathway Enrichment ◽

Mulberry Leaves ◽

Mulberry Leaf

Background: Diabetes mellitus is one of the most common endocrine metabolic disorder diseases. The application of herbal medicine to control glucose levels and improve insulin action might be a useful approach in the treatment of diabetes. Mulberry leaves (ML) has been reported to exert important activities of anti-diabetic. Objective: In this work, we aimed to explore the multi-targets and multi-pathways regulatory molecular mechanism of Mulberry leaves (ML, Morus alba Linne) acting on diabetes. Methods: Identification of active compounds of Mulberry leaves using Traditional Chinese Medicine Systems Pharmacology (TCMSP) database. Bioactive components were screened by FAF-Drugs4 website (Free ADME-Tox Filtering Tool). The targets of bioactive components were predicted from SwissTargetPrediction website, and the diabetes related targets were screened from GeneCards database. The common targets of ML and diabetes are used for Gene Ontology (GO) and pathway enrichment analysis. The visualization networks were constructed by Cytoscape 3.7.1 software. The construction of biological networks were performed to analyze the mechanisms as follows: (1) Compound-Target network; (2) Common target-Compound network; (3) Common targets protein interaction network; (4) Compound-Diabetes protein-protein interactions (PPI) network; (5) Target-Pathway network; (6) Compound-Target-Pathway network. At last, the prediction results of network pharmacology were verified by molecular docking method. Results: 17 active components were obtained by TCMSP database and FAF-Drugs4 website. 51 potential targets (11 common targets and 40 associated indirect targets) were obtained and used to build the PPI network by String database. Furthermore, the potential targets were used to GO and pathway enrichment analysis. 8 key active compounds (quercetin, Iristectorigenin A, 4-Prenylresveratrol, Moracin H, Moracin C, Isoramanone, Moracin E and Moracin D) and 8 key targets (AKT1, IGF1R, EIF2AK3, PPARG, AGTR1, PPARA, PTPN1 and PIK3R1) were obtained to play major roles in Mulberry leaf acting on diabetes. And the signal pathways involved in the mechanisms mainly include AMPK signaling pathway, PI3K-Akt signaling pathway, mTOR signaling pathway, insulin signaling pathway and insulin resistance. The molecular docking results show that the 8 key active compounds have good affinity with the key target of AKT1, and the 5 key targets (IGF1R, EIF2AK3, PPARG, PPARA and PTPN1) have better affinity than AKT1 with the key compound of quercetin. Conclusion: Based on network pharmacology and molecular docking of this work provided an important systematic and visualized basis for further understanding the synergy mechanism of ML acting on diabetes.

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Decoding the Mechanism of Huanglian Jiedu Decoction in Treating Pneumonia Based on Network Pharmacology and Molecular Docking

Frontiers in Cell and Developmental Biology ◽

10.3389/fcell.2021.638366 ◽

2021 ◽

Vol 9 ◽

Author(s):

Xianhai Li ◽

Hua Tang ◽

Qiang Tang ◽

Wei Chen

Keyword(s):

Molecular Docking ◽

Signaling Pathway ◽

Molecular Mechanisms ◽

Clinical Symptoms ◽

Interaction Network ◽

Enrichment Analysis ◽

Network Pharmacology ◽

Interleukin 17 ◽

Active Ingredients ◽

Hub Genes

Huang-Lian-Jie-Du decoction (HLJDD) has been used to treat pneumonia for thousands of years in China. However, our understanding of its mechanisms on treating pneumonia is still unclear. In the present work, network pharmacology was used to analyze the potential active ingredients and molecular mechanisms of HLJDD on treating pneumonia. A total of 102 active ingredients were identified from HLJDD, among which 54 were hit by the 69 targets associated with pneumonia. By performing Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis, we obtained the main pathways associated with pneumonia and those associated with the mechanism of HLJDD in the treatment of pneumonia. By constructing the protein–protein interaction network of common targets, 10 hub genes were identified, which were mainly involved in the tumor necrosis factor (TNF) signaling pathway, interleukin 17 (IL-17) signaling pathway, and nucleotide-binding oligomerization domain (NOD)-like receptor signaling pathway. Moreover, the results of molecular docking showed that the active ingredients of HLJDD had a good affinity with the hub genes. The final results indicate that HLJDD has a greater effect on bacterial pneumonia than on viral pneumonia. The therapeutic effect is mainly achieved by regulating the host immune inflammatory response and oxidative stress reaction, antibacterial microorganisms, alleviating the clinical symptoms of pneumonia, repairing damaged cells, and inhibiting cell migration.

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Study on the Mechanism of Bushen Jianpi Decoction in the Treatment of T2DM Based on Network Pharmacology

10.21203/rs.3.rs-486041/v1 ◽

2021 ◽

Author(s):

Dongqiang Luo ◽

Ying Shao ◽

Yong Sun ◽

Shuntang Du ◽

Feng Liu

Keyword(s):

Molecular Docking ◽

Signaling Pathway ◽

Target Genes ◽

Fluid Shear Stress ◽

Interaction Network ◽

Binding Potential ◽

Network Pharmacology ◽

Signal Pathways ◽

Protein Protein Interaction ◽

Target Disease

Abstract Through the preliminary clinical observation, we had found that Bushen Jianpi decoction (BJD) combined with had better efficacy and less side effects, but its mechanism was not clear. The purpose of this study was to determine its molecular targets and mechanism in T2DM therapy by means of network pharmacology and molecular docking.Results: A total of 144 candidate compounds and 1103 differentially expressed genes were screened, and 43 common targets related to T2DM in BJD were identified. The "TCM-compound-target-disease" network suggested that quercetin, luteolin and kaempferol were the top three compounds. Through protein-protein interaction network, 45 core target genes were identified, including ITGA4, TP53, MYC and so on. GO enrichment showed that genes were significantly enriched in biological processes such as response to oxidative stress, response to lipopolysaccharide, response to molecule of bacterial origin and response to reactive oxygen species. KEGG enrichment showed that there was significant gene enrichment in Fluid shear stress and atherosclerosis, TNF signaling pathway, P13K-Akt signaling pathway, IL-17 signaling pathway and AGE-RAGE signaling pathway in diabetic complications signal pathways. The results of molecular docking showed that the key components of BJD had good binding potential with target genes. Conclusions: BJD may play a role in the treatment of T2DM through anti-inflammation, antioxidation and regulating metabolism, but it still needs to be further confirmed by experiments.Keywords: Network pharmacology, GEO database, Molecular docking, Bushen Jianpi decoction; T2DM

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Uncovering the Mechanism of Ge-Gen-Qin-Lian Decoction for Treating Ulcerative Colitis Based on Network Pharmacology and Molecular Docking Verification

10.21203/rs.3.rs-74864/v1 ◽

2020 ◽

Author(s):

Lin Xu ◽

Jiaqi Zhang ◽

Zedan Zhang ◽

Yifan Wang ◽

Fengyun Wang ◽

...

Keyword(s):

Ulcerative Colitis ◽

Molecular Docking ◽

Kegg Pathway ◽

Interaction Network ◽

Enrichment Analysis ◽

Underlying Mechanism ◽

Network Pharmacology ◽

Active Ingredients ◽

Hub Genes ◽

Pathway Analyses

Abstract Background and objective: Ge-Gen-Qin-Lian Decoction (GGQLD), a traditional Chinese medicine (TCM) formula, has been widely used for ulcerative colitis (UC) in China while the pharmacological mechanisms still remain unclear. The present research was designed to clarify the underlying mechanism of GGQD against UC. Methods: In this research, a GGQLD-compound-target-UC (G-U) network was constructed based on public databases to clarify the relationship between active compounds in GGQLD and potential targets. GO and KEGG pathway enrichment analyses were performed to investigate biological functions associated with potential targets. A protein-protein interaction network was constructed to screen and evaluate hub genes and key active ingredients, another GO and KEGG pathway analyses were subsequently performed on hub genes. Molecular docking was used to verify the activities of binding between hub targets and ingredients. Results: Finally, 83 potential therapeutic targets and 118 correspond active ingredients were obtained by network pharmacology. GO and KEGG enrichment analysis revealed that GGQLD had an effect of anti-inflammation, antioxidation, and immunomodulatory. The effect of GGQLD on UC might be achieved by regulating the balance of cytokines (eg., IL6, TNF, IL1β, CXCL8, CCL2, IL10, IL4, IL2) in immune system and inflammation-related pathways, such as IL-17 pathway and Th17 cell differentiation pathway. Besides, molecular docking results demonstrated that the main active ingredients, quercetin, exhibited good affinity to hub targets. Conclusion: This research fully reflects the characteristics of multi-component and multi-target for GGQLD in the treatment of UC. Furthermore, the present study provided new insight into the mechanisms of GGQLD against UC.

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Uncovering bioactive compounds and potential mechanisms of Jieduan-Niwan Formula against liver failure

10.21203/rs.3.rs-45023/v1 ◽

2020 ◽

Author(s):

Chongyang Ma ◽

Qiuyun Zhang ◽

Yuan Gao ◽

Lianyin Gao ◽

Xiaoyi Wei ◽

...

Keyword(s):

Molecular Docking ◽

Liver Failure ◽

Signaling Pathway ◽

Microarray Data ◽

Fluid Shear Stress ◽

Underlying Mechanism ◽

Docking Study ◽

Network Pharmacology ◽

Data Series ◽

Molecular Docking Study

Abstract Background Liver failure is considered as the inability of the liver to perform its normal synthetic and metabolic function. Our previous data showed that Jieduan-Niwan formula (JDNW) induced liver failure, while its underlying mechanism remains unknown. Methods In the present study, we performed a network pharmacology to analyze the bioactive ingredients and related targets. Compound and target data of JDNW formula were retrieved from the Traditional Chinese Medicine Systems Pharmacology Database (TCMSP), and targets related to liver diseases were obtained from DisGeNET database. Information of protein protein interaction were retrieved from STRING database. Network construction and degree calculation were used Cytoscape software. Metascape web-server was used for GO and KEGG pathway enrichment. A microarray data series (GSE72081) was obtained from Gene Expression Omnibus database and analyzed using R project and Connectivity Map. Ledock was used for molecular docking. Results A total of 114 unduplicated active ingredients were identified after ADME screening. After construction of a target-liver disease network, 28 targets were identified for anti-liver failure effect. These targets were significantly enriched in fluid shear stress and atherosclerosis, pathways in cancer, IL-17 signaling pathway, HIF-1 signaling pathway, insulin resistance, toxoplasmosis, prostate cancer, microRNAs in cancer, NF-kappa B signaling pathway, Chemical carcinogenesis, VEGF signaling pathway and complement and coagulation cascades pathways. After analyzing a public microarray data of quercetin, we found biological action of some NFκB inhibitors was similar to quercetin. Molecular docking study showed that quercetin possessed a capability to bind on IKKβ and inhibited NFκB activation. Conclusions JDNW formula treated liver failure via multiple targets and multiple pathways, including NFκB signal. Quercetin was identified as a key bioactive ingredient of JDNW formula and its anti-liver failure effect may involve in NFκB inhibition.

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Pharmacological Mechanism of Danggui-Sini Formula for Intervertebral Disc Degeneration: A Network Pharmacology Study

BioMed Research International ◽

10.1155/2021/5165075 ◽

2021 ◽

Vol 2021 ◽

pp. 1-12

Author(s):

Longjie Wang ◽

Jialiang Lin ◽

Weishi Li

Keyword(s):

Molecular Docking ◽

Intervertebral Disc ◽

Signaling Pathway ◽

Disc Degeneration ◽

Intervertebral Disc Degeneration ◽

Interaction Network ◽

Enrichment Analysis ◽

Network Pharmacology ◽

Biological Mechanism ◽

Core Genes

Background. Intervertebral disc degeneration (IVDD) is the most significant cause of low back pain, the sixth-largest disease burden globally, and the leading cause of disability. This study is aimed at investigating the molecular biological mechanism of Danggui-Sini formula (DSF) mediated IVDD treatment. Methods. A potential gene set for DSF treatment of IVDD was identified through TCMSP, UniProt, and five disease gene databases. A protein interaction network of common targets between DSF and IVDD was established by using the STRING database. GO and KEGG enrichment analyses were performed using the R platform to discover the potential mechanism. Moreover, AutoDock Vina was used to verify molecular docking and calculate the binding energy. Results. A total of 119 active ingredients and 136 common genes were identified, including 10 core genes (AKT1, IL6, ALB, TNF, VEGFA, TP53, MAPK3, CASP3, JUN, and EGF). Enrichment analysis results showed that the therapeutic targets of DSF for diseases mainly focused on the AGE-RAGE signaling pathway involved in diabetic complications, IL-17 signaling pathway, TNF signaling pathway, Toll-like receptor signaling pathway, apoptosis, cellular senescence, PI3K-Akt signaling pathway, and FoxO signaling pathway. These biological processes are induced mainly in response to oxidative stress and reactive oxygen species and the regulation of apoptotic signaling pathways. Molecular docking showed that there was a stable affinity between the core genes and the key components. Conclusions. The combination of network pharmacology and molecular docking provides a practical way to analyze the molecular biological mechanism of DSF-mediated IVDD treatment, which confirms the “multicomponent, multitarget and multipathway” characteristics of DSF and provides an essential theoretical basis for clinical practice.

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An Investigation Into the Mechanism of Li Chong Pill for Treating Endometriosis Based on Network Pharmacology and Molecular Docking Verification

10.21203/rs.3.rs-281498/v1 ◽

2021 ◽

Author(s):

Shao-Xuan Liu ◽

Feng-Juan Han ◽

Chun-Lan Zhang ◽

Ying Shen ◽

Jia Li ◽

...

Keyword(s):

Molecular Docking ◽

Signaling Pathway ◽

Hormone Secretion ◽

Interaction Network ◽

Enrichment Analysis ◽

Binding Activity ◽

Estrogen Signaling ◽

Network Pharmacology ◽

Binding Property ◽

Core Network

Abstract Background and objective: Li Chong Wan (Li Chong pill, LCP) origin from Yi Xue Zhong Zhong Can Xi Lu, (Records of Chinese Medicine with Reference to Western Medicine), widely used in the treatment of endometriosis (EM) in China. The purpose of this study is to investigate the intrinsic mechanisms of LCP against EM and to provide new evidence for its clinical application.Methods: Chemical compounds of LCP were screened and evaluated via retrieving public databases and literature. We also acquired their putative targets and obtained EM-related targets. The above-mentioned data were visualized as a component-target network. In addition, we use Cytoscape3.8.0 to build a protein-protein interaction network and identified hub genes and key active ingredients. Furthermore, through GO and KEGG pathway analyses, which were actualized by R3.6.1 (based on clusterProfiler, org.Hs.eg.Db, and pathview package), we obtained effective signaling pathways and biological functions. Molecular docking was used to verify binding activity between compounds and the key targets at last.Results: Finally, a total of 122 possible active targets and 47 components were screened. Identify the core network and screen out 10 main targets; GO and KEGG enrichment analysis revealed that LCP may have functions of anti-inflammatory, anti-angiogenesis, inhibition of cell proliferation, regulation of hormone secretion, etc. The effect of LCP on EM might be achieved by PI3K/Akt signaling pathway, HIF-1 signaling pathway, estrogen signaling pathway, and VEGF signaling pathway, etc. Finally, molecular docking results demonstrated that 14 components were exhibited good binding property to the key targets of EM.Conclusion: This research ocularly demonstrated the multi-component, multi-target, and multi-channel pharmacological effects for LCP in the treatments of EM and provides evidence for further clinical research and verification of the mechanism.

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