基于网络药理学和分子对接评价青藤治疗溃疡性结肠炎的机制。

IF 1.5 4区 医学 Q4 CHEMISTRY, MEDICINAL Current computer-aided drug design Pub Date : 2024-01-01 DOI:10.2174/1573409919666230420083102
Juan Tian, Changgeng Yang, Yun Wang, Canlin Zhou
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引用次数: 0

摘要

背景:研究表明青藤具有抗炎、抗癌、免疫抑制等生理活性,目前广泛应用于类风湿性关节炎、皮肤病等疾病的治疗。然而,SC治疗溃疡性结肠炎(UC)的机制尚不清楚。目的:预测SC的活性成分,确定SC对UC的作用机制。方法:通过TCMSP、PharmMapper和CTD数据库筛选得到SC的活性组分和靶标。从GEO(GSE9452)和DisGeNET数据库中检索UC的靶基因。基于String数据库、Cytoscape 3.7.2软件和David 6.7数据库,我们分析了SC活性成分与UC潜在靶标或途径之间的关系。最后,通过分子对接鉴定抗UC中的SC靶点。GROMACS软件用于对蛋白质和化合物复合物进行分子动力学模拟,并进行自由能计算。结果:6个主要活性成分,61个潜在的抗UC基因靶点,具有度值的前5个靶点是IL6、TNF、IL1β、CASP3和SRC。根据GO富集分析,血管内皮生长因子受体和血管内皮生长因素刺激可能是SC治疗UC的相关生物学过程。KEGG通路分析结果主要与IL-17、AGE-RAGE和TNF信号通路有关。根据分子对接结果,β-谷甾醇、16-epi-Isositsirikine、青藤碱和Stephenolidine与主要靶标强结合。分子动力学模拟结果表明,IL1B/β-谷甾醇和TNF-。结论:SC可通过多种成分、靶点和途径在UC中发挥治疗作用。具体的行动机制需要进一步探讨。
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Evaluation of the Mechanism of Sinomenii Caulis in Treating Ulcerative Colitis based on Network Pharmacology and Molecular Docking.

Background: Studies have indicated that Sinomenii Caulis (SC) has several physiological activities, such as anti-inflammatory, anti-cancer, immunosuppression, and so on. SC is currently widely used in the treatment of rheumatoid arthritis, skin disease, and other diseases. However, the mechanism of SC in the treatment of ulcerative colitis (UC) remains unclear.

Aims: To predict the active components of SC and determine the mechanism of SC on UC.

Methods: Active components and targets of SC were screened and obtained by TCMSP, PharmMapper, and CTD databases. The target genes of UC were searched from GEO (GSE9452), and DisGeNET databases. Based on the String database, Cytoscape 3.7.2 software, and David 6.7 database, we analyzed the relationship between SC active components and UC potential targets or pathways. Finally, identification of SC targets in anti-UC by molecular docking. GROMACS software was used to perform molecular dynamics simulations of protein and compound complexes and to perform free energy calculations.

Results: Six main active components, 61 potential anti-UC gene targets, and the top 5 targets with degree value are IL6, TNF, IL1β, CASP3, and SRC. According to GO enrichment analysis, the vascular endothelial growth factor receptor and vascular endothelial growth factor stimulus may be relevant biological processes implicated in the treatment of UC by SC. The KEGG pathway analysis result was mainly associated with the IL-17, AGE-RAGE, and TNF signaling pathways. Based on molecular docking results, beta-sitosterol, 16-epi-Isositsirikine, Sinomenine, and Stepholidine are strongly bound to the main targets. Molecular dynamics simulation results showed that IL1B/beta-sitosterol and TNF/16-epi-Isositsirikine binding was more stable.

Conclusion: SC can play a therapeutic role in UC through multiple components, targets, and pathways. The specific mechanism of action needs to be further explored.

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来源期刊
Current computer-aided drug design
Current computer-aided drug design 医学-计算机:跨学科应用
CiteScore
3.70
自引率
5.90%
发文量
46
审稿时长
>12 weeks
期刊介绍: Aims & Scope Current Computer-Aided Drug Design aims to publish all the latest developments in drug design based on computational techniques. The field of computer-aided drug design has had extensive impact in the area of drug design. Current Computer-Aided Drug Design is an essential journal for all medicinal chemists who wish to be kept informed and up-to-date with all the latest and important developments in computer-aided methodologies and their applications in drug discovery. Each issue contains a series of timely, in-depth reviews, original research articles and letter articles written by leaders in the field, covering a range of computational techniques for drug design, screening, ADME studies, theoretical chemistry; computational chemistry; computer and molecular graphics; molecular modeling; protein engineering; drug design; expert systems; general structure-property relationships; molecular dynamics; chemical database development and usage etc., providing excellent rationales for drug development.
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