Application of network pharmacology in synergistic action of Chinese herbal compounds.

IF 1.3 4区生物学 Q3 BIOLOGY

Theory in Biosciences Pub Date : 2024-09-01 Epub Date: 2024-06-18 DOI:10.1007/s12064-024-00419-2

Xianchun Duan, Ni Wang, Daiyin Peng

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Abstract

Herbal medicines are frequently blended in the form of multi-drug combinations primarily based on the precept of medicinal compatibility, to achieve the purpose of treating diseases. However, due to the lack of appropriate techniques and the multi-component and multi-target nature of Chinese medicine compounding, it is tough to explain how the drugs interact with each other. As a rising discipline, cyber pharmacology has formed a new approach characterized by using holistic and systematic "network targets" via the cross-fertilization of computer technology, bioinformatics, and different multidisciplinary disciplines. It can broadly screen the active ingredients of traditional Chinese medicine, enhance the effective utilization of drugs, and elucidate the mechanism of drug action. We will overview the principles of Chinese medicine compounding and dispensing, the research methods of network pharmacology, and the software of network pharmacology in the lookup of compounded Chinese medicines, aiming to supply thoughts for the better application of network pharmacology in the research of Chinese medicines.

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网络药理学在中药复方协同作用中的应用。

中药经常以多药复方的形式进行配伍，主要是基于药性相克的原则，以达到治疗疾病的目的。然而，由于缺乏相应的技术，加上中药复方具有多成分、多靶点的特点，很难解释药物之间的相互作用。作为一门新兴学科，网络药理学通过计算机技术、生物信息学和多学科交叉融合，形成了一种以整体性和系统性 "网络靶点 "为特征的新方法。它可以广泛筛选中药的有效成分，提高药物的有效利用率，阐明药物的作用机理。我们将概述中药复方配伍的原理、网络药理学的研究方法以及网络药理学在复方中药查询中的应用软件，旨在为网络药理学在中药研究中的更好应用提供思路。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Theory in Biosciences 生物-生物学

CiteScore

2.70

自引率

9.10%

发文量

审稿时长

3 months

期刊介绍： Theory in Biosciences focuses on new concepts in theoretical biology. It also includes analytical and modelling approaches as well as philosophical and historical issues. Central topics are: Artificial Life; Bioinformatics with a focus on novel methods, phenomena, and interpretations; Bioinspired Modeling; Complexity, Robustness, and Resilience; Embodied Cognition; Evolutionary Biology; Evo-Devo; Game Theoretic Modeling; Genetics; History of Biology; Language Evolution; Mathematical Biology; Origin of Life; Philosophy of Biology; Population Biology; Systems Biology; Theoretical Ecology; Theoretical Molecular Biology; Theoretical Neuroscience & Cognition.