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Table of 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
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
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
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
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
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
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
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
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
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