Overview
- 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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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 thecore 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.Similar content being viewed by others
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Table of contents (9 chapters)
Editors and Affiliations
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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