The Use of Omic Technologies Applied to Traditional Chinese Medicine Research
Joint Authors
Sánchez-Vidaña, Dalinda Isabel
Rajwani, Rahim
Wong, Man-Sau
Source
Evidence-Based Complementary and Alternative Medicine
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-19, 19 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-01-31
Country of Publication
Egypt
No. of Pages
19
Main Subjects
Abstract EN
Natural products represent one of the most important reservoirs of structural and chemical diversity for the generation of leads in the drug development process.
A growing number of researchers have shown interest in the development of drugs based on Chinese herbs.
In this review, the use and potential of omic technologies as powerful tools in the modernization of traditional Chinese medicine are discussed.
The analytical combination from each omic approach is crucial for understanding the working mechanisms of cells, tissues, organs, and organisms as well as the mechanisms of disease.
Gradually, omic approaches have been introduced in every stage of the drug development process to generate high-quality Chinese medicine-based drugs.
Finally, the future picture of the use of omic technologies is a promising tool and arena for further improvement in the modernization of traditional Chinese medicine.
American Psychological Association (APA)
Sánchez-Vidaña, Dalinda Isabel& Rajwani, Rahim& Wong, Man-Sau. 2017. The Use of Omic Technologies Applied to Traditional Chinese Medicine Research. Evidence-Based Complementary and Alternative Medicine،Vol. 2017, no. 2017, pp.1-19.
https://search.emarefa.net/detail/BIM-1154269
Modern Language Association (MLA)
Sánchez-Vidaña, Dalinda Isabel…[et al.]. The Use of Omic Technologies Applied to Traditional Chinese Medicine Research. Evidence-Based Complementary and Alternative Medicine No. 2017 (2017), pp.1-19.
https://search.emarefa.net/detail/BIM-1154269
American Medical Association (AMA)
Sánchez-Vidaña, Dalinda Isabel& Rajwani, Rahim& Wong, Man-Sau. The Use of Omic Technologies Applied to Traditional Chinese Medicine Research. Evidence-Based Complementary and Alternative Medicine. 2017. Vol. 2017, no. 2017, pp.1-19.
https://search.emarefa.net/detail/BIM-1154269
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1154269