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基于计算机辅助药物设计的当归活血物质基础及分子机制研究

[Material basis and molecular mechanism of Angelicae Sinensis Radix in activating blood:based on computer-aided drug design].

作者信息

Lin Jia, Yao Juan, Zhang Min, Li Chao-Xin, Li Ya-Ling, Qiu Lu, Hou Ye-Hu, Liu Yong-Qi, Jin Xiao-Jie

机构信息

College of Pharmacy,Gansu University of Chinese Medicine Lanzhou 730000,China Northwest Collaborative Innovation Center for Chinese Medicine Lanzhou 730000,China.

College of Pharmacy,Gansu University of Chinese Medicine Lanzhou 730000,China.

出版信息

Zhongguo Zhong Yao Za Zhi. 2022 Apr;47(7):1942-1954. doi: 10.19540/j.cnki.cjcmm.20211117.704.

DOI:10.19540/j.cnki.cjcmm.20211117.704
PMID:35534265
Abstract

Angelicae Sinensis Radix excels in activating blood, but the scientific mechanism has not been systematically analyzed, thus limiting the development of the medicinal. This study employed the computer-aided drug design methods, such as structural similarity-based target reverse prediction, complex network analysis, molecular docking, binding free energy calculation, cluster analysis, and ADMET(absorption, distribution, metabolism, excretion, toxicity) calculation, and enzyme activity assay in vitro, to explore the components and mechanism of Angelicae Sinensis Radix in activating blood. Target reverse prediction and complex network analysis yielded 40 potential anticoagulant targets of the medicinal. Gene Ontology(GO) term enrichment and Kyoto Encyclopedia of Genes and Genomes(KEGG) pathway enrichment analysis indicated that the targets mainly acted on the complement and coagulation cascade signaling pathway to exert the anticoagulant function. Among them, the key enzymes thrombin(THR) and coagulation factor Xa(FXa) in coagulation cascade and thrombosis were the drug targets for thromboembolic diseases. At the same time, molecular docking and cluster analysis showed that the medicinal had high selectivity for FXa. According to binding free energy score, 8 potential active components were selected for enzyme activity assay in vitro. The results demonstrated that 8 components inhibited THR and FXa, and the inhibition was stronger on FXa than on THR. The pharmacophore model of 8 active compounds was constructed, which suggested that the components had the common pharmacophore AAHH. The ADMET calculation result indicated that they had good pharmacokinetic properties and were safe. Based on target reverse prediction, complex network analysis, molecular docking and binding free energy calculation, anticoagulant activity in vitro, spatial binding conformation of molecules and targets, pharmacophore model construction, and ADMET calculation, this study preliminarily clarified the material basis and molecular mechanism of Angelicae Sinensis Radix in activating blood from the perspective of big data, and calculated the pharmacology and toxicology parameters of the active components. Our study, for the first time, revealed that the medicinal had obvious selectivity and pertinence for different coagulation proteins, reflecting the unique effect of different Chinese medicinals and the biological basis. Therefore, this study can provide clues for precision application of Angelicae Sinensis Radix and the development of the blood-activating components with modern technology.

摘要

当归擅长活血,但科学机制尚未得到系统分析,从而限制了该药材的开发。本研究采用基于结构相似性的靶点反向预测、复杂网络分析、分子对接、结合自由能计算、聚类分析和ADMET(吸收、分布、代谢、排泄、毒性)计算以及体外酶活性测定等计算机辅助药物设计方法,以探究当归活血的成分和机制。靶点反向预测和复杂网络分析得出该药材40个潜在的抗凝靶点。基因本体论(GO)术语富集和京都基因与基因组百科全书(KEGG)通路富集分析表明,这些靶点主要作用于补体和凝血级联信号通路以发挥抗凝功能。其中,凝血级联和血栓形成中的关键酶凝血酶(THR)和凝血因子Xa(FXa)是血栓栓塞性疾病的药物靶点。同时,分子对接和聚类分析表明该药材对FXa具有高选择性。根据结合自由能得分,选择8种潜在活性成分进行体外酶活性测定。结果表明,8种成分均抑制THR和FXa,且对FXa的抑制作用强于THR。构建了8种活性化合物的药效团模型,表明这些成分具有共同药效团AAHH。ADMET计算结果表明它们具有良好的药代动力学性质且安全。基于靶点反向预测、复杂网络分析、分子对接和结合自由能计算、体外抗凝活性、分子与靶点的空间结合构象、药效团模型构建以及ADMET计算,本研究从大数据角度初步阐明了当归活血的物质基础和分子机制,并计算了活性成分的药理和毒理学参数。本研究首次揭示该药材对不同凝血蛋白具有明显的选择性和针对性,体现了不同中药的独特作用及生物学基础。因此,本研究可为当归的精准应用及利用现代技术开发活血成分提供线索。

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