LTM-TCM: A comprehensive database for the linking of Traditional Chinese Medicine with modern medicine at molecular and phenotypic levels. (April 2022)
- Record Type:
- Journal Article
- Title:
- LTM-TCM: A comprehensive database for the linking of Traditional Chinese Medicine with modern medicine at molecular and phenotypic levels. (April 2022)
- Main Title:
- LTM-TCM: A comprehensive database for the linking of Traditional Chinese Medicine with modern medicine at molecular and phenotypic levels
- Authors:
- Li, Xu
Ren, Jing
Zhang, Wen
Zhang, Zhiming
Yu, Jinchao
Wu, Jiawei
Sun, He
Zhou, Shuiping
Yan, Kaijing
Yan, Xijun
Wang, Wenjia - Abstract:
- Abstract: 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 atAbstract: 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. Graphical Abstract: ga1 … (more)
- Is Part Of:
- Pharmacological research. Volume 178(2022)
- Journal:
- Pharmacological research
- Issue:
- Volume 178(2022)
- Issue Display:
- Volume 178, Issue 2022 (2022)
- Year:
- 2022
- Volume:
- 178
- Issue:
- 2022
- Issue Sort Value:
- 2022-0178-2022-0000
- Page Start:
- Page End:
- Publication Date:
- 2022-04
- Subjects:
- TCM -- Data mining -- Database -- Data integration -- Network pharmacology
Pharmacology -- Periodicals
Pharmacology -- Periodicals
Research -- Periodicals
Médicaments -- Recherche -- Périodiques
Pharmacologie -- Périodiques
615.105 - Journal URLs:
- http://www.sciencedirect.com/science/journal/10436618 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.phrs.2022.106185 ↗
- Languages:
- English
- ISSNs:
- 1043-6618
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 6446.550000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 21219.xml