ArticleJournal of ethnopharmacology2011
Traditional Medicine Collection Tracking System (TM-CTS): a database for ethnobotanically driven drug-discovery programs.
Article in Journal of ethnopharmacology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
5 citing papers in PubMed.
- Development of database structure and indexing for siddha medicine system - A platform for siddha literature analytics.Dialogues in health · 2022Article
- Matching the power of high throughput screening to the chemical diversity of natural products.Natural product reports · 2013Review
- The taxonomic name resolution service: an online tool for automated standardization of plant names.BMC bioinformatics · 2013Article
- Mechanisms of resistance in bacteria: an evolutionary approach.The open microbiology journal · 2013Article
- Article
Corrections and comments
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Authors and funding
13 authors.
Funding
Abstract
ethnopharmacological relevanceEthnobotanically 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
methodsThe system was developed using domain-driven design techniques, and is implemented using Java, Hibernate, PostgreSQL, Business Intelligence and Reporting Tools (BIRT), and Apache Tomcat.
resultsThe 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.
conclusionsThis 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.
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Registered trials
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