

Wenfu Ma
Beijing University of Chinese Medicine, School of Life Sciences
Wenfu Ma received his PhD degree in 2011 from the Institute of Biomedical Research at Fudan University in Shanghai, China. After completing his PhD, he moved to the Memorial Sloan Kettering Cancer Center in the United States for postdoctoral training from 2011 to 2018. In 2018, Ma joined the School of Life Sciences at the Beijing University of Chinese Medicine, where he is currently based. His research interests focus on two main areas: (1) Mechanistic investigation of how Chinese medicine compounds are metabolized by enzymes in the human gut microbiota. (2) Structural and functional studies of drug-target discovery, particularly among traditional Chinese medicine compounds.

Mingrui Yang
School of Life Science, Beijing University of Chinese Medicine, Beijing 102488, China
Dr. Yang received her Ph.D degree from Wuhan University, during which she also had the opportunity to undergo joint training at the Institute of Biophysics of the Chinese Academy of Sciences. Since 2016, she has been a lecturer at Beijing University of Chinese Medicine. Her current research mainly focuses on the pathogenic mechanisms of respiratory viruses such as influenza virus and coronavirus, as well as the role of traditional Chinese medicine in their prevention and treatment. Dr. Yang has chaired and participated in a number of scientific research projects of various levels, and published research papers in journals such as Nature Communications, Acta Pharmaceutica Sinica B, Journal of General Virology, and Viruses, either as the first author or co-first author.

Yue Zhang
School of Life Science, Beijing University of Chinese Medicine
Yue Zhang serves as a lecturer in the School of Life Sciences, Beijing University of Chinese Medicine, Beijing, China, where he is responsible for instructing undergraduate students in courses like Bioengineering. He earned his Ph.D. in pharmaceutics from Beijing University of Chinese Medicine. Dr. Zhang's research is primarily focused on the development of immune analytical methods for natural products. His work has been published in multiple international journals, including JNAN and JOVE (JOVE-57116 and JOVE-62754).

Cuiyan Ma
Beijing University of Chinese Medicine
I got my PhD degree in biology from Peking University, and completed my post-Doc training at at Tsinghua University focusing on computational biology driven drug discovery. Currently, I is a research lecture at BUCM, and I have extensive experience in both experimental and computational biology. As a Postdoctoral Researcher in Bioinformatics at Tsinghua University, I leveraged advanced data analysis techniques to gain deeper insights into biological systems. Currently, I am a Research Scientist at the Beijing University of Chinese Medicine, where I am investigating the anti-inflammatory mechanisms of traditional Chinese medicine (TCM) based on pattern recognition receptors. By integrating cutting-edge experimental and computational methods, I aim to elucidate the molecular pathways underlying the therapeutic effects of TCM and bridge the gap between traditional Chinese medicine and modern biomedical science. My publication includes a Cell Research paper (2017).
Traditional Chinese medicine (TCM) has a long and storied history of widespread use in East Asia. For centuries, TCM has played a vital role in meeting the diverse healthcare needs of people in this region. However, the lack of modern research tools and methodologies has hindered a deeper mechanistic understanding of how TCM remedies exert their therapeutic effects.
In this Methods Collection, we aim to introduce researchers in the field of TCM to the current state-of-the-art tools and strategies employed in contemporary drug discovery. We will cover a range of powerful techniques, including computational drug design and virtual screening, functional genomics and proteomics analysis, high-throughput screening platforms, and advanced analytical technologies.
The integration of TCM with modern drug discovery tools and methodologies can facilitate the identification of novel lead compounds, the optimization of drug candidates, and the development of innovative therapeutic solutions to address unmet medical needs. This synergistic approach could bridge the gap between traditional wisdom and modern science, benefiting patients worldwide.
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2025
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Tengteng Li1, Jingxin Zhang1, Jianjun Wu2, Benzhang Zhao2, Xueshuai Zhang3, Pengfei Ye4, Jinghua Li5, Yinghui Wang5, Zhulv Zhang5, Xuan Wang5, Chao Wang6, Yu Lu1,5, Tao Lu1
1The College of Life Sciences, Beijing University of Chinese Medicine, 2Respiratory Department, Beijing University of Chinese Medicine Third Affiliated Hospital, 3Institute of Acoustics, Chinese Academy of Sciences, 4Otorhinolaryngology, Children's Hospital Affiliated to the Capital Institute of Pediatrics, 5Institute of information on traditional Chinese medicine, China Academy of Chinese Medical Sciences, 6Institute of Basic Theory for Chinese Medicine, China Academy of Chinese Medical Sciences
Construction and Visualisation Research of Medical Profiling Models for Digestive System Disease Patients from a Clinician Perspective
Wu Yang1,
Li Jinghua*1,
Li Tengteng1
1Institute of Information on Traditional Chinese Medicine
A CRISPR-Cas9-mediated genome-wide screening approach to identify genes associated with pyroptosis induced by the natural compound shikonin
Jiajian Guo1,
Shuqi Zhou1,
Linyue Guo1,
Sanjiao Wang2,
Yue Zhang1,
Siyu Hou1,
Wenfu Ma*1
1Beijing University of Chinese Medicine,
2Mianyang Teachers' College
Nuclear Magnetic Resonance Spectroscopy for Traditional Chinese Medicine
Ziling Wang1,
Anchengbo Li1,
Yajun Jiang*1
1State Key Laboratory of Pharmaceutical Biotechnology, Chemistry and Biomedicine Innovation Center (ChemBIC), School of Life Sciences, Nanjing University, Nanjing, China.
Thermal proteome profiling for target identification of a natural product on HepG2
Qi Zhu1,
Chunxia Tan1,
Junyi He1,
Yibo Li1,
Yue Zhang1,
Chunguo Wang2,
Tao Lu*1
1School of Life Science, Beijing University of Chinese Medicine,
2School of Chinese Materia Medica, Beijing University of Chinese Medicine
Discovery of TBK1 kinase inhibitors from Traditional Chinese Medicine ingredients based on ADP-Glo technology
Dongxiao Cui1
1Shaanxi university of Chinese medicine
A rapid screening platform:Using C.elegans to evaluate the effect of traditional Chinese medicine monomers on enhancing reproductive function
Deng Di1,
Yan Yun1,
Zhang Boning1,
He Junyi1,
Sun Jiutang1,
Lu tao*1,
Zhang Yue*1
1School of Life Science,Beijing University Of Chinese Medicine
Identification of genes contribute to enhanced self-renewal ability by combining replating assay with CRISPR/Cas9 technology
Jingfang Zhang*1
1Beijing University of Chinese Medicine
Development of cell-free vesicle reconstitution technology to detect the transport efficiency of cargo protein in vitro
Yanan Nan1,
Mingrui Yang*1,
Wenfu Ma1
1Beijing University of Chinese Medicine,Beijing,China
Development and Validation of a Machine Learning Predictive Model Integrating Disease Features for Diabetic Nephropathy Risk Prediction
Yuxin Guo1
1Beijing University of Chinese Medicine
Evaluation of the Immediate Effects of Frequency-Modulated Mechanical Vibration Applied to the Trunk on Cardiac Function
Tengteng Li1
1China Academy of Chinese Medical Sciences
A Standardized Protocol for Synchronous Acquisition and Multimodal Physiological Assessment in Individuals with Insomnia
Yu Qiu*1
1Beijing University of Chinese Medicine