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The network approaches of systems pharmacology and toxicology serve as early predictors of the most relevant screening approach to pursue both in drug discovery and development and ecotoxicological assessments. Computational approaches have the potential to improve toxicological experimental design, enable more rapid drug efficacy and safety testing and also reduce the number of animals used in experimentation. Rapid advances in availability of computing technology hold tremendous promise for advancing applied and basic science and increasing the efficiency of risk assessment. This book provides an understanding of the basic principles of computational toxicology and the current methods of predictive toxicology using chemical structures, toxicity-related databases, in silico chemical-protein docking, and biological pathway tools. The book begins with an introduction to systems pharmacology and toxicology and computational tools followed by a section exploring modelling adverse outcomes and events. The second part of the book covers the discovery of protein targets and the characterisation of toxicant-protein interactions. Final chapters include case studies and additionally discuss interactions between phytochemicals and Western therapeutics. This book will be useful for scientists involved in environmental research and risk assessment. It will be a valuable resource for postgraduate students and researchers wishing to learn about key methods used in studying biological targets both from a toxicity and pharmacological activity standpoint.

Computational Approaches in Drug Discovery, Development and Systems Pharmacology provides detailed information on the use of computers in advancing pharmacology. Drug discovery and development is an expensive and time-consuming practice, and computer-assisted drug design (CADD) approaches are increasing in popularity in the pharmaceutical industry to accelerate the process. With the help of CADD, scientists can focus on the most capable compounds so that they can minimize the synthetic and biological testing pains. This book examines success stories of CADD in drug discovery, drug development and role of CADD in system pharmacology, additionally including a focus on the role of artificial intelligence (AI) and deep machine learning in pharmacology. Computational Approaches in Drug Discovery, Development and Systems Pharmacology will be useful to researchers and academics working in the area of CADD, pharmacology and Bioinformatics. Explains computer use in pharmacology using real-life case studies Provides information about biological activities using computer technology, thus allowing for the possible reduction of the number of animals used for research Describes the role of AI in pharmacology and applications of CADD in various diseases

This volume provides a comprehensive overview of the hazards inherent in herbal medicinal products, with systematic coverage of major toxicities. Topics include composition and quality control, toxicokinetics, interactions, safety pharmacology, approaches to studying complex mixtures including metabolomics and systems network pharmacology, and long-term toxicity. The volume also discusses various organ toxicities with a special emphasis on basic mechanisms of actions and the multicomponent and multi-target nature of herbal products. It concludes with a look to future challenges and opportunities. With contributions from noted experts, Toxicology of Herbal Products is a necessary resource for physicians, pharmacists, and toxicologists interested in complex plant-derived products.

'It was August 1, a time when New York children are generally wearing shorts and short-sleeved shirts. My first patient was 18 months old and dressed more appropriately for late fall. When we took off his clothes I saw why. He was covered head-to-toe with oozing, staph-infected lesions, which he promptly began to scratch. That explained the overdressing — it was the only deterrent to scratching ... I had expected quick resolution using oral medication-teas — based on my experience in China. I wasn't prepared for this level of severity.'Dr Xiu-Min LiThus began Dr Li's journey into the treatment of eczema in the United States, which afflicts some 15-20% of children and 10% of adults. This book represents years of collaboration with patients, parents, pediatricians, allergists and dermatologists to treat disorders that resist standard intervention, and in some cases are caused by conventional treatment in the form of topical corticosteroids. Chronic use of steroids by patients desperate for relief from itching, oozing and scaling, and subsequent withdrawal can result in severe physical and psychological symptoms.'It wasn't just the extent of the disease. It was also the toll it took on family quality of life. Kids were crying. Mothers were crying. They were all sleeping badly. Most of these families also had bad food allergies, but food allergy is a silent disease. People worry about it, but with eczema they suffer every day.'Dr LiThis is a book of scholarship. Dr Li, explores the literature of traditional Chinese medicine, which has a long history of describing and treating skin disorders, to find therapies that might benefit current patients. It is a book of science as Dr Li and her team use state-of-the-art technology to explore the mechanisms of disease, the therapeutic effects of the herbs, and ways to make them more effective. But it is also a book of compassion as patients and their families recount their experience of illness and the road back, after working with Dr Li's private practice.Dr Li has dual professorships in Pathology, Microbiology & Immunology, and Otolaryngology at New York Medical College. Dr Li and her team have long devoted to themselves to developing novel therapies for food allergy, asthma, eczema, Eosinophilic Esophagitis, and Crohn's disease, among other inflammatory conditions.

This book focuses on the multi-omics big-data integration, the data-mining techniques and the cutting-edge omics researches in principles and applications for a deep understanding of Traditional Chinese Medicine (TCM) and diseases from the following aspects: (1) Basics about multi-omics data and analytical methods for TCM and diseases. (2) The needs of omics studies in TCM researches, and the basic background of omics research in TCM and disease. (3) Better understanding of the multi-omics big-data integration techniques. (4) Better understanding of the multi-omics big-data mining techniques, as well as with different applications, for most insights from these omics data for TCM and disease researches. (5) TCM preparation quality control for checking both prescribed and unexpected ingredients including biological and chemical ingredients. (6) TCM preparation source tracking. (7) TCM preparation network pharmacology analysis. (8) TCM analysis data resources, web services, and visualizations. (9) TCM geoherbalism examination and authentic TCM identification. Traditional Chinese Medicine has been in existence for several thousands of years, and only in recent tens of years have we realized that the researches on TCM could be profoundly boosted by the omics technologies. Devised as a book on TCM and disease researches in the omics age, this book has put the focus on data integration and data mining methods for multi-omics researches, which will be explained in detail and with supportive examples the “What”, “Why” and “How” of omics on TCM related researches. It is an attempt to bridge the gap between TCM related multi-omics big data, and the data-mining techniques, for best practice of contemporary bioinformatics and in-depth insights on the TCM related questions.