Cloudphar Pharmaceuticals Co., Ltd, 518000 Shenzhen, China.
Cloudphar Pharmaceuticals Co., Ltd, 518000 Shenzhen, China.
Pharmacol Res. 2022 Apr;178:106185. doi: 10.1016/j.phrs.2022.106185. Epub 2022 Mar 16.
Benefiting from the development of network pharmacology, Traditional Chinese Medicine (TCM) shows great potential in modern drug discovery. Recently, more and more TCM-related databases have been established for both academic and industry research, but they are still insufficient in data standardization, integrity, and precision. To better accelerate the TCM research and overcome these shortcomings, we construct a web-based TCM platform, LTM-TCM, which is currently the most comprehensive TCM database that includes the following advantages: (1) High-quality data integration from fourteen TCM authoritative databases, especially with additional manual collected 41,025 clinical treatment records and 213 ancient Chinese medical books. (2) Accurate correction of multi-source TCM interactions (between symptoms, prescriptions, herbs, ingredients and targets) through in-house Biomedical Natural Language Processing (BioNLP) approaches in more than 30 million articles. (3) Diverse cross-field pipelines (e.g., bioactive ingredients screening, targets prediction, and mechanism prediction, etc.) help integrating traditional medicine with modern science in common aspects at both the molecular and phenotypic levels. In summary, LTM-TCM contains 1928 symptoms, 48,126 prescriptions, 9122 plants, 34,967 ingredients, 13,109 targets and 1170,133 interactions among all TCM related components. LTM-TCM has both Chinese and English interfaces, and it is accessible at http://cloud.tasly.com/#/tcm/home.
受益于网络药理学的发展,中药在现代药物发现中显示出巨大的潜力。最近,越来越多的与中药相关的数据库已经建立起来,用于学术和工业研究,但它们在数据标准化、完整性和准确性方面仍然不足。为了更好地加速中药研究并克服这些缺点,我们构建了一个基于网络的中药平台 LTM-TCM,它是目前最全面的中药数据库,具有以下优点:(1)从 14 个中药权威数据库中整合高质量的数据,特别是额外收集了 41025 份临床治疗记录和 213 本古代中医书籍。(2)通过内部生物医学自然语言处理(BioNLP)方法在超过 3000 万篇文章中准确纠正多源中药相互作用(症状、处方、草药、成分和靶点之间)。(3)多样化的跨领域管道(例如,生物活性成分筛选、靶点预测和机制预测等)有助于在分子和表型水平上整合传统医学与现代科学。总之,LTM-TCM 包含 1928 个症状、48126 个处方、9122 种植物、34967 种成分、13109 个靶点和 1170133 种中药相关成分之间的相互作用。LTM-TCM 具有中文和英文界面,可在 http://cloud.tasly.com/#/tcm/home 访问。