| Description |
1 online resource (480 pages) |
| Contents |
Intro -- Foreword -- Foreword -- Foreword -- Preface -- Contents -- Chapter 1: "Network Target" Theory and Network Pharmacology -- 1.1 Network Pharmacology: Next Generation Medicine Research Mode -- 1.2 Key Role of TCM in the Origin and Development of Network Pharmacology -- 1.2.1 Original Method of Network Target Analysis -- 1.2.2 Common Methods of Network Target Analysis -- 1.3 Core Theory of Network Pharmacology: Network Target -- 1.3.1 Proposal and Development of Network Target Theory -- 1.3.2 The Concept of Network Target |
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1.4 Overview of Network Pharmacology Research Methods and Characteristics -- 1.4.1 Characteristics of ̀̀Single Target-Partial Confrontation ́́Research Mode -- 1.4.2 Characteristics of ̀̀Network Target-System Regulation ́́Research Mode -- 1.4.3 Typical Scenarios of Network Pharmacology Analysis -- 1.4.4 Characteristics, Advantages, Challenges, and Developmental Direction of Network Pharmacology Research -- References -- Chapter 2: Application of Network Pharmacology Based on Artificial Intelligence Algorithms in Drug Development |
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2.1 Introduction to Artificial Intelligence Methods in Network Pharmacology -- 2.1.1 Introduction to Artificial Intelligence Algorithms -- 2.1.2 Performance Evaluation Method for Artificial Intelligence Algorithms -- 2.1.3 Applications of Artificial Intelligence -- 2.1.4 Frontiers and Prospects of Artificial Intelligence -- 2.2 Application of Artificial Intelligence in Network Pharmacology Research -- 2.2.1 Prediction and Discovery of Drug Targets -- 2.2.2 Study on the Drug Property Mechanism -- 2.2.3 Discovery of New Drug Uses -- 2.2.4 Traditional Chinese Medicine and Its Therapeutic Theory |
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2.3 Application of Artificial Intelligence -- References -- Chapter 3: Common Network Pharmacology Databases -- 3.1 TCM Databases Commonly Used in Network Pharmacology -- 3.1.1 ETCM: Encyclopedia of Traditional Chinese Medicine -- 3.1.1.1 Data Structure -- 3.1.1.2 Function Introduction -- 3.1.1.3 Characteristics -- 3.1.2 SymMap: Integrated TCM Database Focusing on the Association of Syndromes -- 3.1.2.1 Data Structure -- 3.1.2.2 Function Introduction -- 3.1.2.3 Characteristics -- 3.1.3 BATMAN-TCM: Bioinformatics Analysis Platform for the Molecular Mechanism of Traditional Chinese Medicine |
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3.1.3.1 Data Structure -- 3.1.3.2 Function Introduction -- 3.1.3.3 Characteristics -- 3.1.4 TCMID: TCM Integrated Database for Molecular Mechanism Analysis of TCM -- 3.1.4.1 Data Structure -- 3.1.4.2 Function Introduction -- 3.1.4.3 Characteristics -- 3.1.5 Other TCM Databases -- 3.2 Biological Databases Commonly Used in Network Pharmacology -- 3.2.1 Online Mendelian Inheritance in Man-OMIM -- 3.2.1.1 Database Content and Its Application in Network Pharmacology Research -- 3.2.1.2 Data Structure -- 3.2.1.3 Function Introduction -- 3.2.1.4 Characteristics |
| Summary |
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 |
| Notes |
3.2.2 Human Phenotypic Ontology Database-HPO |
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Online resource; title from PDF title page (SpringerLink, viewed October 13, 2021) |
| Subject |
Pharmacology -- Data processing
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Pharmacology -- Data processing
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Farmacologia.
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Bioinformàtica.
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| Genre/Form |
Llibres electrònics.
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| Form |
Electronic book
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| Author |
Li, Shao, editor
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| ISBN |
9789811607530 |
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9811607532 |
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