Full Description
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.
Contents
Chapter 1. 'Network Target' Theory and Network Pharmacology.- Chapter 2. Application of Network Pharmacology Based on Artificial Intelligence Algorithm in Drug R & D.- Chapter 3. Commonly used Network Pharmacology Database.- Chapter 4. Commonly used Network Pharmacology Software.- Chapter 5. Network Pharmacology and TCM Modernization Case Studies.- Chapter 6. Network Pharmacology and Modern Drug R & D Cases.- Chapter 7. Drug-based Network Pharmacology Practice Process.- Chapter 8. Disease-based Network Pharmacology Practice Process.- Chapter 9. Drug-disease-based Network Pharmacology Practice Process.
