Brief Bioinform. 2014 Nov;15(6):984-1003. doi: 10.1093/bib/bbt063. Epub 2013 Sep 24.
Traditional Chinese medicine (TCM) is gaining increasing attention with the emergence of integrative medicine and personalized medicine, characterized by pattern differentiation on individual variance and treatments based on natural herbal synergism. Investigating the effectiveness and safety of the potential mechanisms of TCM and the combination principles of drug therapies will bridge the cultural gap with Western medicine and improve the development of integrative medicine. Dealing with rapidly growing amounts of biomedical data and their heterogeneous nature are two important tasks among modern biomedical communities. Bioinformatics, as an emerging interdisciplinary field of computer science and biology, has become a useful tool for easing the data deluge pressure by automating the computation processes with informatics methods. Using these methods to retrieve, store and analyze the biomedical data can effectively reveal the associated knowledge hidden in the data, and thus promote the discovery of integrated information. Recently, these techniques of bioinformatics have been used for facilitating the interactional effects of both Western medicine and TCM. The analysis of TCM data using computational technologies provides biological evidence for the basic understanding of TCM mechanisms, safety and efficacy of TCM treatments. At the same time, the carrier and targets associated with TCM remedies can inspire the rethinking of modern drug development. This review summarizes the significant achievements of applying bioinformatics techniques to many aspects of the research in TCM, such as analysis of TCM-related '-omics' data and techniques for analyzing biological processes and pharmaceutical mechanisms of TCM, which have shown certain potential of bringing new thoughts to both sides.
传统医学(TCM)随着整合医学和个性化医学的出现而受到越来越多的关注,其特点是对个体差异进行模式分化,并基于天然草药协同作用进行治疗。研究 TCM 的潜在机制的有效性和安全性以及药物治疗的组合原则将弥合与西方医学的文化差距,促进整合医学的发展。处理快速增长的生物医学数据及其异质性是现代生物医学社区的两个重要任务。生物信息学作为计算机科学和生物学的一个新兴交叉学科领域,已经成为一种有用的工具,可以通过信息学方法自动化计算过程来缓解数据泛滥的压力。使用这些方法检索、存储和分析生物医学数据可以有效地揭示数据中隐藏的相关知识,从而促进综合信息的发现。最近,这些生物信息学技术已被用于促进西医和 TCM 的相互作用。使用计算技术对 TCM 数据进行分析为 TCM 机制的基本理解、TCM 治疗的安全性和有效性提供了生物学证据。同时,与 TCM 疗法相关的载体和靶标也激发了对现代药物开发的重新思考。本综述总结了将生物信息学技术应用于 TCM 研究的许多方面的重要成果,例如对 TCM 相关“组学”数据的分析以及用于分析 TCM 生物过程和药物机制的技术,这些成果显示出为双方带来新思维的一定潜力。