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首页> 外文期刊>BMC Complementary and Alternative Medicine >TCMGeneDIT: a database for associated traditional Chinese medicine, gene and disease information using text mining
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TCMGeneDIT: a database for associated traditional Chinese medicine, gene and disease information using text mining

机译:TCMGeneDIT:使用文本挖掘的中药,基因和疾病相关信息数据库

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Background 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. Methods 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 effecters and effects. Results 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/ webcite . Conclusion 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.
机译:背景技术传统中医药(TCM)是西方国家的一种补充性和替代性医疗体系,在东亚国家已被用于治疗各种疾病数千年。近年来,发现许多草药通过调节广泛的基因表达或蛋白质活性表现出多种作用。随着可用中药数据的迅速积累,迫切需要系统地探索这些资源,以有效利用大量文献。方法从公共数据库中收集中医药,基因,疾病,生物学途径和蛋白质相互作用信息。为了发现关联,使用TCM名称,基因名称,疾病名称,TCM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是基于假设检验和搭配分析的。用自然语言处理工具处理带注释的语料库,并将基于规则的方法应用于句子,以提取中医效应者和效应之间的关系。结果我们开发了一个数据库TCMGeneDIT,以提供有关中药,基因,疾病,中药作用和从大量生物医学文献中提取的中药成分的关联信息。整合的蛋白质-蛋白质相互作用和生物学途径信息也可用于探索与中药疗效相关的基因的调控。另外,可以通过共享的中间体推断基因,中医与疾病之间的传递关系。此外,TCMGeneDIT可用于通过基因调控了解中药的可能治疗机制,并推论处方成分对总体治疗效果的协同或拮抗作用。该数据库现在可以在http://tcm.lifescience.ntu.edu.tw/ webcite上找到。结论TCMGeneDIT是一个独特的数据库,可提供有关TCM的多种关联信息。该数据库将中医药与生物医学研究整合在一起,这将有助于临床研究并阐明中医药的可能治疗机制和基因调控。

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