Chemical Biology Study in Traditional Chinese Medicine: Target profiling of Bioactive Natural Products

Planta Medica ◽  
2012 ◽  
Vol 78 (05) ◽  
Author(s):  
WD Zhang
2016 ◽  
Vol 11 (11) ◽  
pp. 1934578X1601101 ◽  
Author(s):  
Di Yang ◽  
Wanwan Jia ◽  
Yi Zhun Zhu

Herba Leonuri, also named Chinese Motherwort, has been extensively investigated as an effective agent on the uterus system. Our group has been studying the natural products of Herba Leonuri for several years, and during this period, many biological activities of the drug were recognized. Leonurine (4-guanidino- N-butyl-syringate) is an alkaloid present in Herba Leonuri. Recently, growing evidence has highlighted the therapeutic potential of leonurine in multiple diseases, especially cardiovascular. In this review, we discuss the biological activities of leonurine, as well as recent advances involving this alkaloid.


2013 ◽  
Vol 2013 ◽  
pp. 1-11 ◽  
Author(s):  
Mengzhu Xue ◽  
Shoude Zhang ◽  
Chaoqian Cai ◽  
Xiaojuan Yu ◽  
Lei Shan ◽  
...  

As the major issue to limit the use of drugs, drug safety leads to the attrition or failure in clinical trials of drugs. Therefore, it would be more efficient to minimize therapeutic risks if it could be predicted before large-scale clinical trials. Here, we integrated a network topology analysis with cheminformatics measurements on drug information from the DrugBank database to detect the discrepancies between approved drugs and withdrawn drugs and give drug safety indications. Thus, 47 approved drugs were unfolded with higher similarity measurements to withdrawn ones by the same target and confirmed to be already withdrawn or discontinued in certain countries or regions in subsequent investigations. Accordingly, with the 2D chemical fingerprint similarity calculation as a medium, the method was applied to predict pharmacovigilance for natural products from an in-house traditional Chinese medicine (TCM) database. Among them, Silibinin was highlighted for the high similarity to the withdrawn drug Plicamycin although it was regarded as a promising drug candidate with a lower toxicity in existing reports. In summary, the network approach integrated with cheminformatics could provide drug safety indications effectively, especially for compounds with unknown targets or mechanisms like natural products. It would be helpful for drug safety surveillance in all phases of drug development.


2014 ◽  
Vol 67 (10) ◽  
pp. 1461 ◽  
Author(s):  
Evette Clayton ◽  
Mitchell Hattie ◽  
Aleksandra W. Debowski ◽  
Keith A. Stubbs

Natural products are important materials that have found a wide variety of uses, especially in medicine. Traditional Chinese medicine (TCM) has especially taken advantage of natural products and compounds found in Leonurus, a species of herb used extensively in TCM to treat various ailments. Herein we describe the synthesis of three natural products from Leonurus japonicus and our investigation of their hepatoprotective properties.


2021 ◽  
Vol 271 ◽  
pp. 03042
Author(s):  
Yihao Niu

Many bioactive natural products are derived from traditional Chinese medicine. Some of them showed good treatment potential in tumor chemotherapy. However, limited by the poorly solubility and non-selective toxicity of most of bioactive natural products, their antitumor efficacy could not be further applied in clinicals. Nano-drug delivery systems provided good platforms for bioactive natural products in antitumor treatment, and many tumor microenvironment-responsive nano-delivery carriers facilitated them to achieve more accurate tumor targeting and less toxicity, and finally improved antitumor ability of bioactive natural products.


2021 ◽  
Vol 12 ◽  
Author(s):  
Xiaojie Tan ◽  
Jiahui Fu ◽  
Zhaoxin Yuan ◽  
Lingjuan Zhu ◽  
Leilei Fu

Objectives: Cancer is well-known as a collection of diseases of uncontrolled proliferation of cells caused by mutated genes which are generated by external or internal factors. As the mechanisms of cancer have been constantly revealed, including cell cycle, proliferation, apoptosis and so on, a series of new emerging anti-cancer drugs acting on each stage have also been developed. It is worth noting that natural products are one of the important sources for the development of anti-cancer drugs. To the best of our knowledge, there is not any database summarizing the relationships between natural products, compounds, molecular mechanisms, and cancer types.Materials and methods: Based upon published literatures and other sources, we have constructed an anti-cancer natural product database (ACNPD) (http://www.acnpd-fu.com/). The database currently contains 521 compounds, which specifically refer to natural compounds derived from traditional Chinese medicine plants (derivatives are not considered herein). And, it includes 1,593 molecular mechanisms/signaling pathways, covering 10 common cancer types, such as breast cancer, lung cancer and cervical cancer.Results: Integrating existing data sources, we have obtained a large amount of information on natural anti-cancer products, including herbal sources, regulatory targets and signaling pathways. ACNPD is a valuable online resource that illustrates the complex pharmacological relationship between natural products and human cancers.Conclusion: In summary, ACNPD is crucial for better understanding of the relationships between traditional Chinese medicine (TCM) and cancer, which is not only conducive to expand the influence of TCM, but help to find more new anti-cancer drugs in the future.


2022 ◽  
pp. 270-291
Author(s):  
Akash ◽  
Navneet ◽  
Bhupendra Singh Bhandari ◽  
Surendra Singh Bisht ◽  
Dalip Kumar Mansotra

Traditional medicines and natural products from ethnomedicinal plants have great significance in recent time. Various forms of medicines like Ayurveda, traditional Chinese medicine, kampo, Unani, have been plasticising in recent days due to their effectiveness against various human ailments and also have blossomed into the regulated systems of traditional medicine. This chapter reviews the relationship of plants and humans, along with their cultural relationship and role of the traditional medicines, by exploring the methodologies and various concepts for the discovery of various drugs. Further, this will also illustrate traditional medicines that have their incomparable advantages over the modern allopathic medicines.


2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Chuipu Cai ◽  
Qihui Wu ◽  
Honghai Hong ◽  
Liying He ◽  
Zhihong Liu ◽  
...  

AbstractAdvances in immunotherapy have revolutionized treatments in many types of cancer. Traditional Chinese Medicine (TCM), which has a long history of clinical adjuvant application against cancer, is emerging as an important medical resource for developing innovative cancer treatments, including immunotherapy. In this study, we developed a quantitative and systems pharmacology-based framework to identify TCM-derived natural products for cancer immunotherapy. Specifically, we integrated 381 cancer immune response-related genes and a compound-target interaction network connecting 3273 proteins and 766 natural products from 66 cancer-related herbs based on literature-mining. Via systems pharmacology-based prediction, we uncovered 182 TCM-derived natural products having potential anti-tumor immune responses effect. Importantly, 32 of the 49 most promising natural products (success rate = 65.31%) are validated by multiple evidence, including published experimental data from clinical studies, in vitro and in vivo assays. We further identified the mechanism-of-action of TCM in cancer immunotherapy using network-based functional enrichment analysis. We showcased that three typical natural products (baicalin, wogonin, and oroxylin A) in Huangqin (Scutellaria baicalensis Georgi) potentially overcome resistance of known oncology agents by regulating tumor immunosuppressive microenvironments. In summary, this study offers a novel and effective systems pharmacology infrastructure for potential cancer immunotherapeutic development by exploiting the medical wealth of natural products in TCM.


Sign in / Sign up

Export Citation Format

Share Document