New development and update on China Bioanalysis Forum

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.

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

Journal of Medical Care Research and Review ◽

10.15520/mcrr.v3i9.113 ◽

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.

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The Use of Omic Technologies Applied to Traditional Chinese Medicine Research

Evidence-based Complementary and Alternative Medicine ◽

10.1155/2017/6359730 ◽

2017 ◽

Vol 2017 ◽

pp. 1-19 ◽

Cited By ~ 6

Author(s):

Dalinda Isabel Sánchez-Vidaña ◽

Rahim Rajwani ◽

Man-Sau Wong

Keyword(s):

Chinese Medicine ◽

Traditional Chinese Medicine ◽

Drug Development ◽

Development Process ◽

Chemical Diversity ◽

Chinese Herbs ◽

Drug Development Process ◽

Medicine Research ◽

Promising Tool ◽

Working Mechanisms

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.

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