4.7 Article

LTM-TCM: A comprehensive database for the linking of Traditional Chinese Medicine with modern medicine at molecular and phenotypic levels

Journal

PHARMACOLOGICAL RESEARCH
Volume 178, Issue -, Pages -

Publisher

ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD
DOI: 10.1016/j.phrs.2022.106185

Keywords

TCM; Data mining; Database; Data integration; Network pharmacology

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Benefiting from the development of network pharmacology, Traditional Chinese Medicine (TCM) has shown great potential in modern drug discovery. However, existing TCM databases still face challenges in data standardization, integrity, and precision. To address these shortcomings, researchers have developed a web-based TCM platform called LTM-TCM, which integrates high-quality data from multiple authoritative databases, corrects TCM interactions through natural language processing techniques, and provides diverse cross-field pipelines for integrating traditional medicine with modern science at both the molecular and phenotypic levels.
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.

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