Network Pharmacology

Network Pharmacology is an emerging field that combines system biology, bioinformatics, network science, and other related disciplines to analyze the molecular associations between drugs and their treatment targets, revealing the systematic pharmacological mechanisms of drugs and guiding the research and development of new drugs and clinical diagnosis and treatment. It was proposed to construct a biological network to decipher complex diseases and has become the core theory of network pharmacology. This book mainly includes four parts: the concept and theory of network pharmacology, common analysis methods, databases, and software, typical cases of traditional Chinese medicine modernization and modern drug research, and network pharmacology practice processes based on drugs and diseases.

Format: Paperback / softback
Length: 468 pages
Publication date: 01 October 2022
Publisher: Springer Verlag, Singapore

This captivating book delves into the emerging realm of "network pharmacology" as a groundbreaking field of systematic drug research in the era of artificial intelligence and big data. Network Pharmacology emerges as an innovative subject of fusion, drawing upon system biology, bioinformatics, network science, and other related disciplines. It places a strong emphasis on understanding drugs and their therapeutic effects from a holistic system-level and biological network perspective. By meticulously analyzing the intricate laws governing the molecular associations between drugs and their treatment targets, the book unveils the underlying systematic pharmacological mechanisms at play. This insightful exploration guides the research and development of new drugs, as well as the clinical diagnosis and treatment of diseases.

Since its proposal, network pharmacology has garnered significant attention from researchers, experiencing rapid development and widespread application. In order to unravel the biological foundations of diagnosis and treatment in traditional Chinese medicine and modern medicine, we introduced a novel concept of network target for the first time. This concept has become the cornerstone of network pharmacology, serving as a framework for constructing biological networks that aid in deciphering complex diseases.

The core principle of a network target revolves around the idea of constructing a biological network that can be utilized to unravel the complexities of diseases. This network serves as the therapeutic target, upon which multicomponent remedies are applied. This book is divided into four comprehensive parts:

Part 1: The Concept and Theory of Network Pharmacology: This section provides a comprehensive introduction to the field, exploring its theoretical foundations, principles, and methodologies. It delves into the concepts of drug-target interactions, network analysis, and drug repositioning, highlighting the importance of integrating multiple data sources and interdisciplinary approaches.

Part 2: Common Analysis Methods, Databases, and Software in Network Pharmacological Research: This part offers a comprehensive overview of the analytical tools and resources employed in network pharmacology. It discusses popular databases, software platforms, and computational methods used to identify drug-target interactions, construct biological networks, and analyze drug-response data.

Part 3: Typical Cases of Traditional Chinese Medicine Modernization and Modern Drug Research Based on Network Pharmacology: This section showcases real-world examples of traditional Chinese medicine modernization and modern drug research utilizing network pharmacology. It highlights successful cases where traditional Chinese medicine compounds have been repurposed as novel drugs or where network-based approaches have led to the discovery of new therapeutic targets.

Part 4: Network Pharmacology Practice Process Based on Drugs and Diseases: This part provides a practical guide to applying network pharmacology in drug discovery and clinical practice. It discusses the steps. The steps involved in identifying network targets, constructing biological networks, analyzing drug-response data, and developing personalized treatment strategies based on network pharmacological insights.

In conclusion, this book serves as a valuable resource for researchers, practitioners, and students interested in exploring the frontier of network pharmacology. It provides a comprehensive and up-to-date understanding of this emerging field, shedding light on its theoretical foundations, analytical methodologies, and practical applications. By leveraging the power of artificial intelligence, big data, and interdisciplinary collaboration, network pharmacology holds immense potential to revolutionize drug research, clinical practice, and patient care. As we continue to unravel the complexities of the human body and the mechanisms underlying diseases, this book will undoubtedly remain a cornerstone in our quest for better health and well-being.

Weight: 741g
Dimension: 235 x 155 (mm)
ISBN-13: 9789811607554
Edition number: 1st ed. 2021