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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.

Network pharmacology reveals pharmacological mechanisms of drugs for outlining the development and discovery of drugs along with clinical treatment. It combines clinical, experimental and computational investigation, while creating favorable conditions for investigating the features of traditional medicine. The aim of network pharmacology is to reveal and reflect on the biological foundations of various complex diseases and effects of drugs by the application of network based understanding. It is useful in drug discovery and development, as it combines system biology and genomic technologies through computational biological tools. It is capable of elucidating complex relations amidst biological systems, diseases and drugs. It emphasizes on systems level modeling of mechanism of drugs, by integrating protein-protein interaction, drug-target interaction along with other type of interactome data. This book explores all the important aspects of network pharmacology in the present day scenario. It presents researches and studies performed by experts across the globe. As this field is emerging at a rapid pace, the contents of this book will help the readers to understand drug discovery and development within network pharmacology.

Drug Discovery and Evaluation has become a more and more difficult, expensive and time-consuming process. The effect of a new compound has to be detected by in vitro and in vivo methods of pharmacology. The activity spectrum and the potency compared to existing drugs have to be determined. As these processes can be divided up stepwise we have designed a book series "Drug Discovery and Evaluation" in the form of a recommendation document. The methods to detect drug targets are described in the first volume of this series "Pharmacological Assays" comprising classical methods as well as new technologies. Before going to man, the most suitable compound has to be selected by pharmacokinetic studies and experiments in toxicology. These preclinical methods are described in the second volume „Safety and Pharmacokinetic Assays". Only then are first studies in human beings allowed. Special rules are established for Phase I studies. Clinical pharmacokinetics are performed in parallel with human studies on tolerability and therapeutic effects. Special studies according to various populations and different therapeutic indications are necessary. These items are covered in the third volume: „Methods in Clinical Pharmacology".

Despite considerable technological advances, the pharmaceutical industry is experiencing a severe innovation deficit, especially in the discovery of new drugs. Innovative Approaches in Drug Discovery: Ethnopharmacology, Systems Biology and Holistic Targeting provides a critical review and analysis of health, disease and medicine, and explores possible reasons behind the present crisis in drug discovery. The authors illustrate the benefits of systems biology and pharmacogenomics approaches, and advocate the expansion from disease-centric discovery to person-centric therapeutics involving holistic, multi-target, whole systems approaches. This book lays a path for reigniting pharmaceutical innovation through a disciplined reemergence of pharmacognosy, embracing open innovation models and collaborative, trusted public-private partnerships. With unprecedented advances made in the development of biomedically-relevant tools and technologies, the need is great and the time is now for a renewed commitment towards expanding the repertoire of medicines. By incorporating real-life examples and state-of-the-art reviews, this book provides valuable insights into the discovery and development strategies for professionals, academicians, and students in the pharmaceutical sciences. Analyzes the reasons behind historical drug failures to provide valuable insights on lessons learned Uses current scientific research to promote learning from traditional knowledge systems and through the integration of traditional and western medicines Discusses advances in technologies and systems biology to support the transition from formulation discovery to therapeutic discovery

Traditional Chinese medicine has been used for thousands of years by a large population. It is currently still serving many of the health needs of the Chinese people; and still enjoying their confi dence it is practised in China in parallel with modern Western medical treatment. In addition to scientific organisations dedi cated to modern Western medicine, e. g. the Chinese Academy of Medical Sciences and various medical schools, a series of parallel institutions have been established in China to promote traditional Chinese medicine, such as the Academy of Traditional Chinese Medicine and training institutions. Almost all hospitals in China have a department of traditional medicine. Furthermore, a large number of scientific journals are dedicated to traditional Chinese medicine, covering both experimental and clinical investigations. Medicinal materials constitute a key topic in the treatment of disease according to traditional Chinese medicine. The Chinese Pharmacopoeia (1985 edition) is therefore divided into two sepa rate volumes, Volume I containing traditional Chinese medicinal materials and preparations and Volume II containing pharmaceu tics of Western medicine. The oldest Chinese review of medicinal materials, Shennong Bencao Jing (100-200 A. D. ), covered 365 herbal drugs. The clas sic compilation in this field, Bencao Gangmu (Compendium of Materia Medica), was published in 1578 by Li Shi-zhen and recorded as many as 1898 crude drugs of plant, animal and min eral origin.