scholarly journals Application value of quantitative system pharmacology in drug discovery for traditional Chinese medicine

2020 ◽  
Vol 3 (9) ◽  
pp. 425-436
Author(s):  
Fuxue Meng ◽  
Xiaomai Tao
Keyword(s):  
Systems Biology ◽  
Drug Discovery ◽  
Chinese Medicine ◽  
Traditional Chinese Medicine ◽  
Research And Development ◽  
Clinical Stage ◽  
New Drugs ◽  
Systems Pharmacology ◽  
Medicine Research ◽  
System Pharmacology

Quantitative system pharmacology (QSP) is a discipline that combines computational models of systems biology and systems pharmacology. With the development of high-throughput genomics techniques (genomics, transcriptomics, proteomics, and metabolomics) as well as computer and bioinformatics methods, systems biology and systems pharmacology modeling are widely used to comprehend human biology and disease progression, predict the effectiveness and safety of drug candidates. Due to the advancement of big data and high-quality database, the application of QSP, especially the pre-clinical stage that guides early drug discovery, is increasingly widespread. The traditional drug discovery process takes a long time yet has a low success rate. The early intervention and full participation of QSP in the development of new drugs discovery can form a model-led drug development model to improve the efficiency of drug discovery and scientific appraise, reduce the cost of research and development, and shorten the time to market for new drugs. This article reviews the differences between QSP and other quantitative pharmacology, the problems faced by traditional Chinese medicine research, and the value of QSP in traditional Chinese medicine research, with a view to providing reference and support for the research and development of new traditional Chinese medicine.

New development and update on China Bioanalysis Forum

Bioanalysis ◽  
2021 ◽  
Vol 13 (4) ◽  
pp. 199-201
Author(s):  
Fan Jin ◽  
Daniel Tang ◽  
Kelly Dong ◽  
Dafang Zhong
Keyword(s):  
Drug Discovery ◽  
Chinese Medicine ◽  
Traditional Chinese Medicine ◽  
Drug Development ◽  
Research And Development ◽  
Continuous Growth ◽  
Contract Research Organization ◽  
Drug Discovery And Development ◽  
Medicine Research ◽  
New Development

This article provides an update on new development of China Bioanalysis Forum (CBF). CBF became a member association of Chinese Pharmaceutical Association (CPA) at the end of 2019. The official ceremony and first scientific symposium were held in Shanghai on 18 September 2020. The president of Chinese Pharmaceutical Association and representatives from industry, Contract Research Organization (CRO), hospitals and academic institutes attended the ceremony. Seven experts in the field gave presentations on various topics including Drug Metabolism and Pharmacokinetics (DMPK) and bioanalytical support in drug discovery and development as well as experience in Traditional Chinese Medicine research. With the continuous growth of research and development in China, it is well acknowledged that bioanalysis provides critical support for new innovative medicines and generic drug development in the region.

scholarly journals Advancing Drug Discovery and Development from Active Constituents of Yinchenhao Tang, a Famous Traditional Chinese Medicine Formula

2013 ◽  
Vol 2013 ◽  
pp. 1-6 ◽  
Author(s):  
Aihua Zhang ◽  
Hui Sun ◽  
Shi Qiu ◽  
Xijun Wang
Keyword(s):  
Systems Biology ◽  
Drug Discovery ◽  
Chinese Medicine ◽  
Traditional Chinese Medicine ◽  
Molecular Mechanisms ◽  
Synergistic Effects ◽  
Molecular Networks ◽  
Agile Development ◽  
Therapeutic Effects ◽  
Systematic Analysis

Traditional Chinese medicine (TCM) formula has been playing a very important role in health protection and disease control for thousands of years. Guided by TCM syndrome theories, formula are designed to contain a combination of various kinds of crude drugs that, when combined, will achieve synergistic efficacy. However, the precise mechanism of synergistic action remains poorly understood. One example is a famous TCM formula Yinchenhao Tang (YCHT), whose efficacy in treating hepatic injury (HI) and Jaundice syndrome, has recently been well established as a case study. We also conducted a systematic analysis of synergistic effects of the principal compound using biochemistry, pharmacokinetics and systems biology, to explore the key molecular mechanisms. We had found that the three component (6,7-dimethylesculetin (D), geniposide (G), and rhein (R)) combination exerts a more robust synergistic effect than any one or two of the three individual compounds by hitting multiple targets. They can regulate molecular networks through activating both intrinsic and extrinsic pathways to synergistically cause intensified therapeutic effects. This paper provides an overview of the recent and potential developments of chemical fingerprinting coupled with systems biology advancing drug discovery towards more agile development of targeted combination therapies for the YCHT.

scholarly journals Omic techniques in systems biology approaches to traditional Chinese medicine research: Present and future

2012 ◽  
Vol 140 (3) ◽  
pp. 535-544 ◽  
Author(s):  
Alessandro Buriani ◽  
Maria L. Garcia-Bermejo ◽  
Enrica Bosisio ◽  
Qihe Xu ◽  
Huige Li ◽  
...  
Keyword(s):  
Systems Biology ◽  
Chinese Medicine ◽  
Traditional Chinese Medicine ◽  
Medicine Research

scholarly journals Present Situation and Forecast of Bioinformatics in the Field of New Medicine Research and Development

2020 ◽  
Vol 213 ◽  
pp. 03027
Author(s):  
Yibing Duan
Keyword(s):  
Drug Discovery ◽  
Research And Development ◽  
High Throughput ◽  
Present Situation ◽  
Current Situation ◽  
New Drugs ◽  
Medicine Research ◽  
The Future

In the last several centuries, biology has accumulated a large number of data, which are disorganized and hard to be used repeatedly. Bioinformatics, synthesized informatics, statistics and some other subjects, makes them orderly and much more valuable. In drug discovery, Bioinformatics takes the place of some conventional ways because of low cast and high throughput. This article introduces the current situation and application of Bioinformatics in drug discovery and looks forward to the future, hoping to provide a Reference for the development of new drugs.

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