Research Center for Traditional Chinese Medicine Complexity System, Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China.
Evid Based Complement Alternat Med. 2013;2013:621423. doi: 10.1155/2013/621423. Epub 2013 May 20.
The dominant paradigm of "one gene, one target, one disease" has influenced many aspects of drug discovery strategy. However, in recent years, it has been appreciated that many effective drugs act on multiple targets rather than a single one. As an integrated multidisciplinary concept, network pharmacology, which is based on system biology and polypharmacology, affords a novel network mode of "multiple targets, multiple effects, complex diseases" and replaces the "magic bullets" by "magic shotguns." Chinese herbal medicine (CHM) has been recognized as one of the most important strategies in complementary and alternative medicine. Though CHM has been practiced for a very long time, its effectiveness and beneficial contribution to public health has not been fully recognized. Also, the knowledge on the mechanisms of CHM formulas is scarce. In the present review, the concept and significance of network pharmacology is briefly introduced. The application and potential role of network pharmacology in the CHM fields is also discussed, such as data collection, target prediction, network visualization, multicomponent interaction, and network toxicology. Furthermore, the developing tendency of network pharmacology is also summarized, and its role in CHM research is discussed.
“一个基因,一个靶点,一种疾病”的主导范式影响了药物发现策略的许多方面。然而,近年来,人们已经认识到,许多有效的药物作用于多个靶点,而不是单一靶点。网络药理学作为一个综合的多学科概念,基于系统生物学和多药理学,提供了一种“多靶点、多效应、复杂疾病”的新的网络模式,取代了“神奇子弹”的“神奇枪”。中药(CHM)已被公认为补充和替代医学中最重要的策略之一。尽管中药已经应用了很长时间,但它的有效性及其对公众健康的有益贡献尚未得到充分认识。此外,关于中药配方机制的知识也很匮乏。在本文综述中,简要介绍了网络药理学的概念和意义。还讨论了网络药理学在中药领域的应用和潜在作用,如数据收集、靶点预测、网络可视化、多成分相互作用和网络毒理学。此外,还总结了网络药理学的发展趋势,并讨论了其在中药研究中的作用。