Main methods of computational pharmacology and their application in research on traditional Chinese medicine prescriptions for treating chronic liver diseases
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摘要:
中医药在慢性肝病、尤其对慢性炎症损伤、肝纤维化的治疗中具有一定的优势,但其药效成分和作用机制的研究仍面临巨大的挑战。介绍了近年来以虚拟筛选技术、各种组学技术以及网络药理学为主要内容的计算机药理学方法及其在中医药研究领域中的应用;结合研究实践对计算机药理学方法解析中药治疗慢性肝病的有效成分及作用机制的进展作了评述。认为综合运用计算机药理学的技术,结合传统的分子生物学、药理学方法,是解析治疗慢性肝病有效中药药效物质基础及作用机制的重要研究策略。
Abstract:Traditional Chinese medicine (TCM) has certain advantages in the treatment of chronic liver diseases, especially chronic inflammatory injury and liver fibrosis.However, the studies on medicinal components and action mechanism of TCM prescriptions are confronted with a great challenge.The computational pharmacology methods used in recent years, mainly including virtual screening technique, omics technologies, and network pharmacology approaches, as well as their application in TCM research, are presented;given the previous research work, the progress in research on active ingredients and action mechanism of TCM prescriptions using computational pharmacology methods is reviewed.It is thought that computational pharmacology techniques combined with conventional molecular biological and pharmacological methods are an important research strategy for the material basis and action mechanism of TCM prescriptions for treating chronic liver diseases.
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Key words:
- liver diseases /
- TCM THERAPY /
- computational pharmacology /
- editorial
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