A network pharmacology‐based approach to explore the effects of Chaihu Shugan powder on a non‐alcoholic fatty liver rat model through nuclear receptors

The pathogenesis of non‐alcoholic fatty liver disease (NAFLD) is still not fully understood, and currently, no effective pharmacotherapy is available. Nuclear receptors (NRs) are important biological participants in NAFLD that exhibit great therapeutic potential. Chaihu Shugan powder (CSP) is a traditional Chinese medicine (TCM) formula that has a wide therapeutic spectrum including NAFLD, but the effective components and functional mechanisms of CSP are unclear. We adopted a network pharmacology approach using multiple databases for Gene Ontology (GO) enrichment analysis and the molecular complex detection (MCODE) method for a protein‐protein interaction (PPI) analysis, and we used molecular docking method to screen the NR targets and determine the corresponding CSP components. The screening results were validated through a NAFLD rat model that was used to explain the possible relationship between CSP and NAFLD. Finally, we screened PPARγ, FXR, PPARα, RARα and PPARδ as target genes and quercetin, kaempferol, naringenin, isorhamnetin and nobiletin as target compounds. The five components were detected through high‐performance liquid chromatography‐mass spectrometry (HPLC‐MS), the results of which aligned with the docking experiments of PPARγ, PPARα and PPARδ. After CSP intervention, the NAFLD rat model showed ameliorated effects in terms of bodyweight, hepatic histopathology, and serum and liver lipids, and the mRNA levels of PPARγ, FXR, PPARα and RARα were significantly changed. The results from this study indicate that CSP exhibits healing effects in an NAFLD model and that the network pharmacology approach to screening NR targets and determining the corresponding CSP components is a practical strategy for explaining the mechanism by which CSP ameliorates NAFLD.     

Network Pharmacology and Molecular Docking Reveal the Mechanism of Corydalis saxicola Bunting Total Alkaloids in Treating Radiation-Induced Oral Mucositis

The study aims to explore the effect and mechanism of total alkaloids of Corydalis saxicola Bunting (CSBTA) in the treatment of radiation induced oral mucositis (RIOM) through network pharmacology and molecular docking. The components and corresponding targets of Corydalis saxicola Bunting were screened by literature review. RIOM related targets were obtained in GeneCards. Cytoscape software was used to construct the component-target-pathway network. Protein-Protein Interaction (PPI) networks was constructed by String database. GO and KEGG enrichment analyses were performed by Metascape. AutoDock Vina 4.2 software was used for molecular docking. There were 26 components of CSBTA targeting 61 genes related to RIOM. Through Cytoscape and PPI analysis, 15 core target genes of CSBTA for treating RIOM were identified. GO functional analysis indicated that CSBTA might play a role through kinase binding and protein kinase activation. KEGG pathway analysis showed that the core targets of CSBTA were mainly focused on cancer and reactive oxygen species (ROS) pathway. The results of molecular docking showed that CSBTA had strong binding energy with target protein including SRC, AKT and EGFR. The study demonstrates that CSBTA may treat RIOM by affecting SRC, AKT and EGFR through ROS pathway.     

Combination of UHPLC-Q Exactive-Orbitrap MS,Bioinformatics and Molecular Docking to Reveal the Mechanism of Huan-Lian-Jie-Du Decoction in the Treatment of Diabetic Encephalopathy

Diabetic encephalopathy (DE) is a serious complication of diabetes, which affects patients′ quality of life. We aimed to explore HLJDD in the treatment of DE by LC/MS and bioinformatics. UPLC-Q Exactive-Orbitrap MS was employed to clarify the compounds. The modules and hub targets of DE were gained from WGCNA. Subsequently, an Herb-Compound-Target network was constructed and enrichment analysis was used. In addition, a protein-protein interaction (PPI) network was constructed and molecular docking was used to verify the above analysis. As result, 138 compounds and 10 prototypes in brain were identified. In network pharmacology, 8 modules and 5692 hub targets were obtained from WGCNA. An Herb-Compound-Target network was constructed by 4 herbs, 10 compounds and 56 targets. The enrichment analysis showed that the treatment of DE with HLJDD involve oxidative stress and neuroprotection. Beside, SRC, JUN, STAT3, MAPK1 and PIK3R1 were identified and as hub targets of HLJDD in treating DE. Moreover, Molecular docking showed that five hub targets had strong affinity with the corresponding alkaloids. Therefore, we explored the underlying mechanisms of HLJDD in the treatment of DE and to provide the theoretical and scientific basis for subsequent experimental studies and clinical applications.     

Integrated network pharmacology to investigate the mechanism of Salvia miltiorrhiza Bunge in the treatment of myocardial infarction

Salvia miltiorrhiza Bunge is a natural drug for treating myocardial infarction (MI). However, the targets and mechanisms of S. miltiorrhiza Bunge in the treatment of MI are yet to be elucidated. Traditional Chinese medicine systems pharmacology (TCMSP) data were used to screen out chemical constituents, and UniProt was used to predict relevant targets. Disease targets were obtained from the Online Mendelian Inheritance in Man and GeneCards databases. We used the STRING platform to build a protein–protein interaction network and used Cytoscape_v3.8.1 software to make a Drug–Ingredients–Gene Symbols–Disease network map. The Metascape database was used to perform gene ontology and Kyoto Encyclopaedia of Genes and Genomes (KEGG) enrichment analyses for drug–disease overlapping gene symbols. The targets identified by network pharmacology were further verified by in vitro and in vivo experiments. Seventy-five active components of S. miltiorrhiza Bunge were obtained from the TCMSP database, while 370 disease targets and 29 cross-targets were obtained from the Genecards database. The KEGG pathway enrichment results suggested that the mechanism of S. miltiorrhiza Bunge in the treatment of MI was significantly related to the VEGF signalling pathway. In vitro and in vivo experiments were used to evaluate the reliability of some important active ingredients and targets. S. miltiorrhiza Bunge alleviated the damage to cardiac function, attenuated myocardial fibrosis and protected endothelial cell function by increasing the expression of TGF-β and VEGFA. S. miltiorrhiza Bunge showed the therapeutic effect of MI by promoting the expression of VEGFA signalling pathway, providing a reliable basis for exploring herbal treatment of MI.     

基于网络药理学和分子对接探讨藏麻黄挥发性成分对支气管炎的作用机制

麻黄(Ephedrae Herba)具有发汗散寒、宣肺平喘、利水消肿的功效。现代研究表明麻黄对治疗支气管、哮喘有疗效。藏麻黄(Ephedra saxatilis)为西藏特有的麻黄属植物,其根、茎具有特殊香气,且目前其挥发性成分未有报道。为评价挥发性成分对支气管炎作用,用气质联用仪测定分析藏麻黄根、茎挥发性成分,并结合网络药理学和分子对接方法分析挥发性成分治疗支气管炎的关键靶点。分析检测到67个挥发性化合物,茎中含有挥发性主要成分为2,3,5,6-四甲基吡嗪(10.92%)、Z-9-十五烯醇(9.15%)、二羟基苯乙酮(7.92%);根含有的挥发性主要成分为亚油酸(7.81%)、红没药醇(7.1%)、Z-9-十五烯醇(5.98%)。有34个挥发性成分能够作用32个支气管炎疾病靶点。蛋白互作网络分析预测IL6、TNF、PTGS2、CXCL8为藏麻黄挥发性成分治疗支气管可能的潜在靶点。这些靶点与挥发性成分丁子香酚、月桂酸、反式法尼醇、α-萜品醇、榄香醇和棕榈酸6种化合物靶点相互结合程度高,且分子对接效果好。本研究推测藏麻黄挥发性成分对支气管炎的治疗作用机制可能是通过抑菌作用参与炎症反应,并通过抑制TNF、IL-17、Toll样受体等炎症与免疫信号通路中IL6、TNF、PTGS2、CXCL8的表达,从而起到治疗支气管炎的作用。研究结果为挖掘藏麻黄挥发性成分中治疗支气管炎靶标分子及其产品开发提供重要参考依据。     

A system-level investigation into the mechanisms of chinese traditional medicine: compound danshen formula for cardiovascular disease treatment

Compound Danshen Formula (CDF) is a widely used Traditional Chinese Medicine (TCM) which has been extensively applied in clinical treatment of cardiovascular diseases (CVDs). However, the underlying mechanism of clinical administrating CDF on CVDs is not clear. In this study, the pharmacological effect of CDF on CVDs was analyzed at a systemic point of view. A systems-pharmacological model based on chemical, chemogenomics and pharmacological data is developed via network reconstruction approach. By using this model, we performed a high-throughput in silico screen and obtained a group of compounds from CDF which possess desirable pharmacodynamical and pharmacological characteristics. These compounds and the corresponding protein targets are further used to search against biological databases, such as the compound-target associations, compound-pathway connections and disease-target interactions for reconstructing the biologically meaningful networks for a TCM formula. This study not only made a contribution to a better understanding of the mechanisms of CDF, but also proposed a strategy to develop novel TCM candidates at a network pharmacology level.     

Active Ingredients and Anti‐Arthritic Mechanisms of Ba‐Wei‐Long‐Zuan Granule Revealed by 1H‐NMR‐Based Metabolomics Combined with Network Pharmacology Analysis

Ba‐Wei‐Long‐Zuan granule (BWLZ) is a traditional herbal preparation. It has been widely used for the treatment of rheumatoid arthritis (RA). However, its active ingredients and mechanisms of action are still unclear. The present study aims to reveal the active compounds and anti‐arthritic mechanisms of BWLZ against collagen‐induced arthritis (CIA) by using ¹H‐NMR‐based metabolomics, molecular docking and network pharmacology methods. After 30 days of administration, BWLZ could effectively improve the metabolic disorders in CIA rats. The anti‐arthritic effect of BWLZ was related to its restoration of 16 disturbed serum metabolites. Molecular docking and network analysis showed that 20 compounds present in BWLZ could act on multiple targets. Among them, coclaurine and hesperidin showed the highest hit rates for target proteins related to both metabolic regulation and RA, indicating that these two compounds might be potential active ingredients of BWLZ. Moreover, pathway enrichment analysis suggested that the anti‐arthritic mechanisms of BWLZ might be attributed to its network regulation of several biological processes, such as steroid hormone biosynthesis, mTOR signaling pathway, alanine, aspartate and glutamate metabolism, and synthesis and degradation of ketone bodies. These results provide further evidence for the anti‐arthritic properties of BWLZ and are beneficial for its quality control and clinical application. The potential targets and biological processes found in this study may provide valuable information for further studying the molecular mechanisms of BWLZ against RA. In addition, our work provides new insights for revealing the active ingredients and regulatory mechanisms of complex herbal preparations.     

鸡血藤木质部与韧皮部中代谢产物的差异性分析

本研究基于超快速液相色谱-串联四级杆飞行时间高分辨质谱(UFLC-Triple TOF-MS/MS)技术,对鸡血藤木质部与韧皮部中代谢产物进行分析;用主成分分析(PCA)和正交偏最小二乘法-判别分析(OPLS-DA)处理数据,筛选并鉴定潜在的差异化合物;结合网络药理学分析,挖掘鸡血藤木质部和韧皮部的差异化合物所对应的潜在靶点及通路,并构建“成分-靶点-通路”网络。结果鸡血藤木质部与韧皮部样品在统计学模型中可有效区分,初步筛选并鉴定出13个差异成分,且13个差异成分在木质部中的相对含量均显著高于韧皮部;通过网络药理学分析,发现化合物维斯体素可能是鸡血藤的关键活性成分,PIK3R1、PIK3CA、MAP2K1、PIK3CB这4个靶点发挥的作用可能较为关键,鸡血藤中的差异标志物主要对蛋白聚糖作用癌症、癌症通路、PI3K-Akt信号通路发挥作用。本研究为揭示不同组织部位对鸡血藤代谢产物合成积累的影响提供基础资料,也为进一步明确鸡血藤的功效物质基础和主要调控靶点提供依据。     

A Systems Biology-Based Approach to Uncovering the Molecular Mechanisms Underlying the Effects of Dragon's Blood Tablet in Colitis,Involving the Integration of Chemical Analysis,ADME Prediction,and Network Pharmacology

Traditional Chinese medicine (TCM) is one of the oldest East Asian medical systems. The present study adopted a systems biology-based approach to provide new insights relating to the active constituents and molecular mechanisms underlying the effects of dragon''s blood (DB) tablets for the treatment of colitis. This study integrated chemical analysis, prediction of absorption, distribution, metabolism, and excretion (ADME), and network pharmacology. Firstly, a rapid, reliable, and accurate ultra-performance liquid chromatography-electrospray ionization-tandem mass spectrometry method was employed to identify 48 components of DB tablets. In silico prediction of the passive absorption of these compounds, based on Caco-2 cell permeability, and their P450 metabolism enabled the identification of 22 potentially absorbed components and 8 metabolites. Finally, networks were constructed to analyze interactions between these DB components/metabolites absorbed and their putative targets, and between the putative DB targets and known therapeutic targets for colitis. This study provided a great opportunity to deepen the understanding of the complex pharmacological mechanisms underlying the effects of DB in colitis treatment.     

A novel strategy for screening bioavailable quality markers of traditional Chinese medicine by integrating intestinal absorption and network pharmacology: Application to Wu Ji Bai Feng Pill

BackgroundMajor components are often used as marker compounds for quality control of traditional Chinese medicines (TCMs). However, these compounds may not necessarily bioavailable and active in vivo, thereby, failing to control the “quality”.PurposeThe purpose of this paper is to develop a novel strategy integrating absorption and activity deduced from network pharmacology to identify more reasonable markers for quality control of TCM formulas using Wu Ji Bai Feng Pill (WJBFP) as an example.Study DesignHuman Caucasian colon adenocarcinoma (Caco-2) cell transport studies and a bioavailability-enhanced network pharmacological approach were integrated to identify better phytochemical markers for quality control.MethodsThe absorption of multiple components in WJBFP was evaluated by a Caco-2 cell culture model. Nine databases were used to identify potential targets in the network pharmacology analysis. Cytoscape 3.7.2 was employed for the network data integration, visualization, and centrality analysis. Molecular docking was carried out to investigate the binding affinity of the identified markers to their candidate targets.ResultsThe apparent permeability coefficient (Papp) and efflux ratio (ER) of 66 compounds were determined. Five hundred and two putative targets and 187 primary dysmenorrhea (PD) related targets were identified. Twenty-two candidate targets interacting with 20 potential active compounds were screened with the putative PD related targets intersection network using Degree Centrality (DC) ranking. By integrating absorption, 16 candidate targets interacting with 8 potential active compounds were identified. Besides, 53 compounds hitting candidate targets were divided into two classes according to their DC values. Then each of the two classes of DC was stratified into two groups based on the Papp for a total of four classes. Finally, five compounds belonging to Class 1 with higher DC and higher Papp, formononetin, ferulic acid, isoliquiritigenin, neocryptotanshinone and senkyunolide A, were identified as potential bioavailable phytochemical markers for the quality control of WJBFP against PD. Furthermore, molecular docking analysis validated the interplay between candidate targets and marker ingredients.ConclusionA novel strategy combining intestinal absorption with network pharmacology analysis was successfully established to identify bioavailable and bioactive markers for quality control of WJBFP against PD.     

Network pharmacology-based research on the active component and mechanism of the antihepatoma effect of Rubia cordifolia L.

Rubia cordifolia L. is widely used in Asia and its antihepatoma effect has been proved by in vitro and in vivo experiments. However, there are few studies on its specific mechanism. In the present study, the network pharmacology method was used to construct the component/target/pathway molecular regulatory network for the antihepatoma effect of Rubia cordifolia L. to explore the effective components of Rubia cordifolia L. and its potential mechanism. The chemical components of Rubia cordifolia L. were identified through literature and databases, and the components were evaluated and screened by drug likeness and pharmacokinetic characteristics (ADMET). The targets of active components were predicted according to the reverse pharmacophore matching model. The hepatic carcinoma-related genes were found in databases, and antihepatoma-related gene targets were selected through comparison. The functions of target genes and related pathways were analyzed and screened using the Database for Annotation, Visualization and Integrated Discovery, and the component/target/pathways network of antihepatoma effect of Rubia cordifolia L. was constructed using Cytoscape software. Finally, 16 active compounds were screened from Rubia cordifolia L., and 39 gene targets, including AKT1, mitogen-activated protein kinase 1, and epidermal growth factor receptor, were involved. Rubia cordifolia L. also affected the hepatitis B, phosphoinositide-3-kinase-protein kinase B, and mitogen-activated protein kinase signaling pathways. Many direct-acting tumor-related signaling pathways and indirect-acting hepatitis pathways inhibit the generation of liver cancer. The present study provided a scientific basis for further elucidating the mechanism of Rubia cordifolia L. against liver cancer.     

Network pharmacology and molecular docking analysis on the mechanism of Cordyceps militaris polysaccharide regulating immunity through TLR4/TNF-α pathwayss

The role of polysaccharide components in the immune system, especially immunomodulatory effects, has received increasing attention. In this context, in this study, network pharmacology was adopted to explore the hypothesis of a multitarget mechanism for immune modulation by Chrysalis polysaccharides. A total of 174 common targets were screened by network pharmacology, with the main ones being TNF, MAPK3, CASP3, VEGFA, and STAT3, mostly enriched in the Toll pathway. The molecular docking results showed that the polysaccharide fraction of Chrysalis binds well to TNF proteins. Besides, in vitro cellular assays were performed to verify the ability of Chrysalis polysaccharides to regulate macrophage polarization and to screen for macrophage surface receptors. Furthermore, in vivo experiments were conducted to prove the activation of TLR4 and TNF-α protein expression in mice by Chrysalis polysaccharide.     

Stachydrine prevents LPS‐induced bone loss by inhibiting osteoclastogenesis via NF‐κB and Akt signalling

Osteoclast overactivation‐induced imbalance in bone remodelling leads to pathological bone destruction, which is a characteristic of many osteolytic diseases such as rheumatoid arthritis, osteoporosis, periprosthetic osteolysis and periodontitis. Natural compounds that suppress osteoclast formation and function have therapeutic potential for treating these diseases. Stachydrine (STA) is a bioactive alkaloid isolated from Leonurus heterophyllus Sweet and possesses antioxidant, anti‐inflammatory, anticancer and cardioprotective properties. However, its effects on osteoclast formation and function have been rarely described. In the present study, we found that STA suppressed receptor activator of nuclear factor‐κB (NF‐κB) ligand (RANKL)‐induced osteoclast formation and bone resorption, and reduced osteoclast‐related gene expression in vitro. Mechanistically, STA inhibited RANKL‐induced activation of NF‐κB and Akt signalling, thus suppressing nuclear factor of activated T cells c1 induction and nuclear translocation. In addition, STA alleviated bone loss and reduced osteoclast number in a murine model of LPS‐induced inflammatory bone loss. STA also inhibited the activities of NF‐κB and NFATc1 in vivo. Together, these results suggest that STA effectively inhibits osteoclastogenesis both in vitro and in vivo and therefore is a potential option for treating osteoclast‐related diseases.     

网络药理学和分子对接技术研究桑黄类真菌对疾病的潜在作用机制

桑黄类真菌是一类极具研究价值的药用真菌。近年来,对于桑黄类真菌的研究,多集中于对某一个物种的成分及药理活性的研究,系统比较桑黄类真菌中成分及药理活性的研究较少。本研究利用网络药理学和分子对接技术从理论上初步探讨了5种桑黄类真菌中化合物与疾病之间的分子作用机制。研究结果表明5种桑黄类真菌(栎木桑黄Sanghuangporus quercicola、鲍姆桑黄Sanghuangporus baumii、粗毛纤孔菌Inonotus hispidus、裂蹄木层孔菌Tropicorus linteus、黑盖木层孔菌Phellinus nigrians)中的39种有效成分,对应潜在靶点588个。KEGG通路富集筛选得到165条通路,分析结果发现这39种化合物的靶点主要分布在与炎症、糖尿病、肝癌、阿尔茨海默病和衰老相关的信号通路上。筛选出桑黄类真菌中抗病的潜在靶点共486个,构建抗病靶点的蛋白互作(PPI)网络,并筛选出LCK、STAT3、PTPN11、STAT1、STAT5B、MAPK1、JAK1、MAPK3、JAK3和JAK2作为关键靶点,构建5种桑黄类真菌-化合物-关键靶点-5种疾病的网络互作图,并进行分子对接验证。筛选出的桑黄类真菌中的12个有效成分均可与这些关键靶点产生相互作用,其中酚类化合物居多,此外二萜类化合物异海松酸与MAPK1结合能力最强。因此,5种桑黄类真菌可以通过多种化合物、多种靶点和多种途径起到抗病的作用,本研究为探索桑黄类真菌治疗和预防疾病潜在机制提供了理论基础。     

Peptide drugs accelerate BMP‐2‐induced calvarial bone regeneration and stimulate osteoblast differentiation through mTORC1 signaling

Both W9 and OP3‐4 were known to bind the receptor activator of NF‐κB ligand (RANKL), inhibiting osteoclastogenesis. Recently, both peptides were shown to stimulate osteoblast differentiation; however, the mechanism underlying the activity of these peptides remains to be clarified. A primary osteoblast culture showed that rapamycin, an mTORC1 inhibitor, which was recently demonstrated to be an important serine/threonine kinase for bone formation, inhibited the peptide‐induced alkaline phosphatase activity. Furthermore, both peptides promoted the phosphorylation of Akt and S6K1, an upstream molecule of mTORC1 and the effector molecule of mTORC1, respectively. In the in vivo calvarial defect model, W9 and OP3‐4 accelerated BMP‐2‐induced bone formation to a similar extent, which was confirmed by histomorphometric analyses using fluorescence images of undecalcified sections. Our data suggest that these RANKL‐binding peptides could stimulate the mTORC1 activity, which might play a role in the acceleration of BMP‐2‐induced bone regeneration by the RANKL‐binding peptides.     

Integration of molecular docking,molecular dynamics and network pharmacology to explore the multi-target pharmacology of fenugreek against diabetes

Fenugreek is an ancient herb that has been used for centuries to treat diabetes. However, how the fenugreek-derived chemical compounds work in treating diabetes remains unclarified. Herein, we integrate molecular docking and network pharmacology to elucidate the active constituents and potential mechanisms of fenugreek against diabetes. First, 19 active compounds from fenugreek and 71 key diabetes-related targets were identified through network pharmacology analysis. Then, molecular docking and simulations results suggest diosgenin, luteolin and quercetin against diabetes via regulation of the genes ESR1, CAV1, VEGFA, TP53, CAT, AKT1, IL6 and IL1. These compounds and genes may be key factors of fenugreek in treating diabetes. Cells results demonstrate that fenugreek has good biological safety and can effectively improve the glucose consumption of IR-HepG2 cells. Pathway enrichment analysis revealed that the anti-diabetic effect of fenugreek was regulated by the AGE-RAGE and NF-κB signalling pathways. It is mainly associated with anti-oxidative stress, anti-inflammatory response and β-cell protection. Our study identified the active constituents and potential signalling pathways involved in the anti-diabetic effect of fenugreek. These findings provide a theoretical basis for understanding the mechanism of the anti-diabetic effect of fenugreek. Finally, this study may help for developing anti-diabetic dietary supplements or drugs based on fenugreek.     

Up‐regulated CST5 inhibits bone resorption and activation of osteoclasts in rat models of osteoporosis via suppression of the NF‐κB pathway

Here, we aim at exploring the effect of CST5 on bone resorption and activation of osteoclasts in osteoporosis (OP) rats through the NF‐κB pathway. Microarray analysis was used to screen the OP‐related differentially expressed genes. Osteoporosis was induced in rats by intragastric retinoic acid administration. The serum levels of tartrate‐resistant acid phosphatase (TRAP), bone alkaline phosphatase (BALP) and osteocalcin (OC) and the expression of CD61 on the surface of osteoclasts were examined. The number of osteoclasts and the number and area of resorption pits were detected. Besides, the pathological changes and bone mineral density in bone tissues of rats were assessed. Also, the relationship between CST5 and the NF‐κB pathway was identified through determining the expression of CST5, RANKL, RANK, OPG, p65 and IKB. Poorly expressed CST5 was indicated to affect the OP. CST5 elevation and inhibition of the NF‐κB pathway decreased serum levels of TRAP, BALP and OC and expression of CD61 in vivo and in vitro. In OP rats, CST5 overexpression increased trabecular bones and bone mineral density of bone tissues, but decreased trabecular separation, fat within the bone marrow cavities and the number of osteoclasts through inhibiting the NF‐κB pathway. In vivo experiments showed that CST5 elevation inhibited growth in number and area of osteoclastic resorption pits and restrained osteoclastic bone absorption by inhibiting the NF‐κB pathway. In summary, overexpression of CST5 suppresses the activation and bone resorption of osteoclasts by inhibiting the activation of the NF‐κB pathway.     

基于网络药理学探讨丹参-丹皮配伍抗脑缺血损伤的作用机制

本文旨在通过网络药理学和分子对接方法探讨丹参-丹皮活性成分治疗脑卒中的潜在分子机制.首先基于中药系统药理学分析平台筛选丹参、丹皮的活性成分及其作用靶点,利用CTD、TTD和GeneCards数据库收集脑卒中相关靶点.然后将药物和疾病靶点取交集,借助STRING数据库获取靶点间相互作用关系,利用R语言的Cluster-P...