A comprehensive application: Molecular docking and network pharmacology for the prediction of bioactive constituents and elucidation of mechanisms of action in component-based Chinese medicine

中医药 计算机科学 虚拟筛选 计算生物学 药物发现 模糊性 组分(热力学) 生化工程 人工智能 生物信息学 医学 工程类 生物 热力学 物理 模糊逻辑 替代医学 病理
作者
Xinyi Jiao,Xin Jin,Yuanyuan Ma,Yang Yang,Jinjing Li,Liuyi Liang,Rui Liu,Zheng Li
出处
期刊:Computational Biology and Chemistry [Elsevier]
卷期号:90: 107402-107402 被引量:213
标识
DOI:10.1016/j.compbiolchem.2020.107402
摘要

Traditional Chinese medicine (TCM) has been used for more than 2000 years in China. TCM has received wide attention recently due to its unique charm. At the same time, its main obstacles have attracted wide attention, including vagueness of drug composition and treatment mechanism. With the development of virtual screening technology, more and more Chinese medicine compounds have been studied to discover the potential active components and mechanisms of action. Molecular docking is a computer technology based on structural design. Network pharmacology establishes powerful and comprehensive databases to understand the relationship between TCM and disease network. In this review, emergent uses and applications of two techniques and further superiorities of the two techniques when embarked to boil down into a tidy system were illustrated. A combination of the two provides a theoretical basis and technical support for the construction of modern TCM based on the compatibility of components and accelerates the realization of two basic elements as well, including the clearness of the pharmacodynamic substances and explanation of the effect of TCM.
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