Fang Yu-Ching, Huang Hsuan-Cheng, Chen Hsin-Hsi, Juan Hsueh-Fen
Institute of Molecular and Cellular Biology, National Taiwan University, Taipei, Taiwan.
BMC Complement Altern Med. 2008 Oct 14;8:58. doi: 10.1186/1472-6882-8-58.
Traditional Chinese Medicine (TCM), a complementary and alternative medical system in Western countries, has been used to treat various diseases over thousands of years in East Asian countries. In recent years, many herbal medicines were found to exhibit a variety of effects through regulating a wide range of gene expressions or protein activities. As available TCM data continue to accumulate rapidly, an urgent need for exploring these resources systematically is imperative, so as to effectively utilize the large volume of literature.
TCM, gene, disease, biological pathway and protein-protein interaction information were collected from public databases. For association discovery, the TCM names, gene names, disease names, TCM ingredients and effects were used to annotate the literature corpus obtained from PubMed. The concept to mine entity associations was based on hypothesis testing and collocation analysis. The annotated corpus was processed with natural language processing tools and rule-based approaches were applied to the sentences for extracting the relations between TCM effectors and effects.
We developed a database, TCMGeneDIT, to provide association information about TCMs, genes, diseases, TCM effects and TCM ingredients mined from vast amount of biomedical literature. Integrated protein-protein interaction and biological pathways information are also available for exploring the regulations of genes associated with TCM curative effects. In addition, the transitive relationships among genes, TCMs and diseases could be inferred through the shared intermediates. Furthermore, TCMGeneDIT is useful in understanding the possible therapeutic mechanisms of TCMs via gene regulations and deducing synergistic or antagonistic contributions of the prescription components to the overall therapeutic effects. The database is now available at http://tcm.lifescience.ntu.edu.tw/.
TCMGeneDIT is a unique database that offers diverse association information on TCMs. This database integrates TCMs with biomedical studies that would facilitate clinical research and elucidate the possible therapeutic mechanisms of TCMs and gene regulations.
传统中医(TCM)在西方国家是一种补充和替代医学体系,在东亚国家已被用于治疗各种疾病数千年。近年来,许多草药被发现通过调节广泛的基因表达或蛋白质活性而表现出多种作用。随着可用的中医数据继续迅速积累,迫切需要系统地探索这些资源,以便有效利用大量文献。
从公共数据库收集中医、基因、疾病、生物途径和蛋白质 - 蛋白质相互作用信息。为了进行关联发现,使用中医名称、基因名称、疾病名称、中药成分和作用来注释从PubMed获得的文献语料库。挖掘实体关联的概念基于假设检验和搭配分析。对注释后的语料库使用自然语言处理工具进行处理,并应用基于规则的方法对句子进行处理,以提取中药效应物与作用之间的关系。
我们开发了一个数据库TCMGeneDIT,以提供从大量生物医学文献中挖掘的关于中药、基因、疾病、中药作用和中药成分的关联信息。还提供整合的蛋白质 - 蛋白质相互作用和生物途径信息,用于探索与中药疗效相关基因的调控。此外,基因、中药和疾病之间的传递关系可以通过共享中间体推断出来。此外,TCMGeneDIT有助于通过基因调控理解中药可能的治疗机制,并推断方剂成分对整体治疗效果的协同或拮抗作用。该数据库现可在http://tcm.lifescience.ntu.edu.tw/获取。
TCMGeneDIT是一个独特的数据库,提供关于中药的多种关联信息。该数据库将中药与生物医学研究相结合,将有助于临床研究,并阐明中药可能的治疗机制和基因调控。