The Recent Applications and Developments of Bioinformatics and Omics Technologies in Traditional Chinese Medicine

Author(s): Lin Liu, Hao Wang*.

Journal Name: Current Bioinformatics

Volume 14 , Issue 3 , 2019

Become EABM
Become Reviewer

Graphical Abstract:


Background: Traditional Chinese Medicine (TCM) is widely utilized as complementary health care in China whose acceptance is still hindered by conventional scientific research methodology, although it has been exercised and implemented for nearly 2000 years. Identifying the molecular mechanisms, targets and bioactive components in TCM is a critical step in the modernization of TCM because of the complexity and uniqueness of the TCM system. With recent advances in computational approaches and high throughput technologies, it has become possible to understand the potential TCM mechanisms at the molecular and systematic level, to evaluate the effectiveness and toxicity of TCM treatments. Bioinformatics is gaining considerable attention to unearth the in-depth molecular mechanisms of TCM, which emerges as an interdisciplinary approach owing to the explosive omics data and development of computer science. Systems biology, based on the omics techniques, opens up a new perspective which enables us to investigate the holistic modulation effect on the body.

Objective: This review aims to sum up the recent efforts of bioinformatics and omics techniques in the research of TCM including Systems biology, Metabolomics, Proteomics, Genomics and Transcriptomics.

Conclusion: Overall, bioinformatics tools combined with omics techniques have been extensively used to scientifically support the ancient practice of TCM to be scientific and international through the acquisition, storage and analysis of biomedical data.

Keywords: Traditional Chinese Medicine (TCM), bioinformatics, system biology, omics, metabolomics, biomarkers.

Rights & PermissionsPrintExport Cite as

Article Details

Year: 2019
Page: [200 - 210]
Pages: 11
DOI: 10.2174/1574893614666190102125403
Price: $58

Article Metrics

PDF: 17