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Traditional Medicine Collection Tracking System (TM-CTS): a database for ethnobotanically driven drug-discovery programs
Authors:Harris Eric S J  Erickson Sean D  Tolopko Andrew N  Cao Shugeng  Craycroft Jane A  Scholten Robert  Fu Yanling  Wang Wenquan  Liu Yong  Zhao Zhongzhen  Clardy Jon  Shamu Caroline E  Eisenberg David M
Institution:a Department of Biological Chemistry and Molecular Pharmacology, Harvard Medical School, 240 Longwood Ave., Boston, MA 02115, USA
b Osher Research Center, Harvard Medical School, NRB Suite 1030, 77 Avenue Louis Pasteur, Boston, MA 02115, USA
c ICCB-Longwood/NSRB Screening Facility, Harvard Medical School, 250 Longwood Ave., Boston, MA 02115, USA
d International Cooperation Center, Beijing University of Chinese Medicine, 11 Bai San Huan Dong Lu, Chao Yang District, Beijing 100029, PR China
e School of Chinese Pharmacy, Beijing University of Chinese Medicine, No. 6 Wangjing Zhong Huan Nan Lu, Chao Yang District, Beijing 100102, PR China
f School of Chinese Medicine, Hong Kong Baptist University, 7 Baptist University Road, Kowloon Tong, Hong Kong Special Administrative Region, PR China
g Department of Systems Biology, Harvard Medical School, 200 Longwood Ave., Boston, MA 02115, USA
h Department of Medicine, Division for Research and Education in Complementary and Integrative Medicinal Therapies, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA 02215, USA
Abstract:

Ethnopharmacological relevance

Ethnobotanically driven drug-discovery programs include data related to many aspects of the preparation of botanical medicines, from initial plant collection to chemical extraction and fractionation. The Traditional Medicine Collection Tracking System (TM-CTS) was created to organize and store data of this type for an international collaborative project involving the systematic evaluation of commonly used Traditional Chinese Medicinal plants.

Materials and methods

The system was developed using domain-driven design techniques, and is implemented using Java, Hibernate, PostgreSQL, Business Intelligence and Reporting Tools (BIRT), and Apache Tomcat.

Results

The TM-CTS relational database schema contains over 70 data types, comprising over 500 data fields. The system incorporates a number of unique features that are useful in the context of ethnobotanical projects such as support for information about botanical collection, method of processing, quality tests for plants with existing pharmacopoeia standards, chemical extraction and fractionation, and historical uses of the plants. The database also accommodates data provided in multiple languages and integration with a database system built to support high throughput screening based drug discovery efforts. It is accessed via a web-based application that provides extensive, multi-format reporting capabilities.

Conclusions

This new database system was designed to support a project evaluating the bioactivity of Chinese medicinal plants. The software used to create the database is open source, freely available, and could potentially be applied to other ethnobotanically driven natural product collection and drug-discovery programs.
Keywords:Database  Traditional Chinese Medicine  High throughput screening  Ethnobotany  Drug discovery
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