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Network Pharmacology

  • Book
  • © 2021

Overview

Editors:
  1. Shao Li

    1. Institute of TCM-X / Department of Automation, Tsinghua University, Beijing, China

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  • Systematically introduces the theory, method and application of network pharmacology

  • Discusses the main content and development process of network pharmacology

  • Emphasizes the key role of traditional Chinese medicine in the origin and development of network pharmacology

  • Enlightens readers with research ideas and methods of network pharmacology for drug and disease research through specific cases

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Table of contents (9 chapters)

  1. Front Matter

    Pages i-xvii
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  2. “Network Target” Theory and Network Pharmacology

    • Shao Li, Qingyang Ding, Xin Wang
    Pages 1-34

  3. Application of Network Pharmacology Based on Artificial Intelligence Algorithms in Drug Development

    • Wenxia Zhou, Xuejun Li, Lu Han, Shengjun Fan
    Pages 35-73

  4. Common Network Pharmacology Databases

    • Haiyu Xu, Yanqiong Zhang, Feifei Guo
    Pages 75-126

  5. Common Network Pharmacology Software

    • Xuezhong Zhou, Ning Wang, Xing Zhai
    Pages 127-173

  6. Case Study of Network Pharmacology and Modernization of Traditional Chinese Medicine

    • Shibing Su, Yuanjia Hu, Huali Zuo
    Pages 175-246

  7. Network Pharmacology and Modern Drug R&D Cases

    • Weidong Zhang, Jing Zhao
    Pages 247-320

  8. Drug-Based Network Pharmacology Practice Process

    • Xiaobo Sun, Xiaoyan Xing, Min Wang
    Pages 321-394

  9. Disease-Based Network Pharmacology Practice Process

    • Xiaohui Fan, Xiang Li
    Pages 395-429

  10. Drug-Disease-Based Network Pharmacology Practice Process

    • Weiwei Su, Panlin Li
    Pages 431-460

  11. Back Matter

    Pages 461-468
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Keywords

About this book

This book introduces “network pharmacology” as an emerging frontier subject of systematic drug research in the era of artificial intelligence and big data. Network Pharmacology is an original subject of fusion system biology, bioinformatics, network science and other related disciplines. It emphasizes on starting from the overall perspective of the system level and biological networks, the analysis of the laws of molecular association between drugs and their treatment objects, reveals the systematic pharmacological mechanisms of drugs, and guides the research and development of new drugs and clinical diagnosis and treatment. After it was proposed, network pharmacology has been paid attention by researchers, and it has been rapidly developed and widely used.

In order to systematically reveal the biological basis of diagnosis and treatment in traditional Chinese medicine and modern medicine, we proposed a new concept of "network target" for the first time, which has become the core theory of "network pharmacology". The core principle of a network target is to construct a biological network that can be used to decipher complex diseases. The network is then used as the therapeutic target, to which multicomponent remedies are applied.

This book mainly includes four parts: 1) The concept and theory of network pharmacology; 2) Common analysis methods, databases and software in network pharmacological research; 3) Typical cases of traditional Chinese medicine modernization and modern drug research based on network pharmacology; 4) Network pharmacology practice process based on drugs and diseases.

Editors and Affiliations

  • Institute of TCM-X / Department of Automation, Tsinghua University, Beijing, China

    Shao Li

About the editor

Dr. Shao Li is a tenured professor at Tsinghua University, the director of TCM (traditional Chinese medicine)-X center, and the deputy director of Bioinformatics Division, BNRist. He proposed the “network target” concept and methodology to shift the “one target, one drug” approach, and is exploring a new way to the Precision Chinese Medicine on inflammation and cancer from a network and systems perspective. He is the founder of TCM network pharmacology, and the Chairman of Specialty committee of network pharmacology, World Federation of Chinese Medicine Societies (WFCMS). He published over 150 papers in leading journals such as Molecular Systems Biology, Cancer Research, and Cell Reports, which have been cited more than 4000 times. He held over 30 US and China patents. His works were highlighted by Nature China, F1000, and made the headline in The Wall Street Journal, which was selected as one of “The World top 10 news of TCM in 2014” by WFCMS. He was honored Li Shizhen Pharmaceutical Innovation Award (China Association of Chinese Medicine, 2019), National Ten-Thousand Talents Program (2019), National Outstanding Young Scientist Award (2012), Young and middle-aged leading talents in science and technology innovation (2018), National Science & Technology Award (2004), National Education Award (2009), and National Excellent Doctoral Dissertation (2003).

Bibliographic Information

  • Book Title: Network Pharmacology

  • Editors: Shao Li

  • DOI: https://doi.org/10.1007/978-981-16-0753-0

  • Publisher: Springer Singapore

  • eBook Packages: Biomedical and Life Sciences, Biomedical and Life Sciences (R0)

  • Copyright Information: Tsinghua University Press 2021

  • Hardcover ISBN: 978-981-16-0752-3Published: 30 September 2021

  • Softcover ISBN: 978-981-16-0755-4Published: 01 October 2022

  • eBook ISBN: 978-981-16-0753-0Published: 29 September 2021

  • Edition Number: 1

  • Number of Pages: XVII, 468

  • Number of Illustrations: 44 b/w illustrations, 119 illustrations in colour

  • Topics: Pharmacology/Toxicology, Pharmacy, Bioinformatics

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