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Finding the new remedy for a certain disease: an inspired goal. QSAR, an invaluable tool in drug design, aids scientists to attain this aim. This book is a long-awaited comprehensive text to QSAR and related approaches. It provides a practice-oriented introduction to the theory, methods and analyses for QSAR relationships, including modelling-based and 3D approaches. Hugo Kubinyi is a leading expert in QSAR. Readers will benefit from the author's 20 years of practical experience, from his careful calculations and recalculations of thousands of QSAR equations. Among the topics covered are: - physiocochemical parameters - quantitative models - statistical methods - Hansch analysis - Free Wilson analysis - 3D-QSAR approaches The book can readily be used as a textbook due to its high didactic value and numerous examples (over 200 equations and 1100 references).
Based on the Lectures given during the Eurocourse on `Practical Applications of Quantitative Structure-Activity (QSAR) in Environmental Chemistry and Toxicology' held at the Joint Research Centre Ispra, Italy, June 11--15, 1990
The book covers theoretical background and methodology as well as all current applications of Quantitative Structure-Activity Relationships (QSAR). Written by an international group of recognized researchers, this edited volume discusses applications of QSAR in multiple disciplines such as chemistry, pharmacy, environmental and agricultural sciences addressing data gaps and modern regulatory requirements. Additionally, the applications of QSAR in food science and nanoscience have been included – two areas which have only recently been able to exploit this versatile tool. This timely addition to the series is aimed at graduate students, academics and industrial scientists interested in the latest advances and applications of QSAR.
BIOINFORMATICS TOOLS FOR Pharmaceutical DRUG PRODUCT DLEVELOPMENT A timely book that details bioinformatics tools, artificial intelligence, machine learning, computational methods, protein interactions, peptide-based drug design, and omics technologies, for drug development in the pharmaceutical and medical sciences industries. The book contains 17 chapters categorized into 3 sections. The first section presents the latest information on bioinformatics tools, artificial intelligence, machine learning, computational methods, protein interactions, peptide-based drug design, and omics technologies. The following 2 sections include bioinformatics tools for the pharmaceutical sector and the healthcare sector. Bioinformatics brings a new era in research to accelerate drug target and vaccine design development, improving validation approaches as well as facilitating and identifying side effects and predicting drug resistance. As such, this will aid in more successful drug candidates from discovery to clinical trials to the market, and most importantly make it a more cost-effective process overall. Readers will find in this book: Applications of bioinformatics tools for pharmaceutical drug product development like process development, pre-clinical development, clinical development, commercialization of the product, etc.; The ever-expanding application of this novel technology and discusses some of the unique challenges associated with such an approach; The broad and deep background, as well as updates, on recent advances in both medicine and AI/ML that enable the application of these cutting-edge bioinformatics tools. Audience The book will be used by researchers and scientists in academia and industry including drug developers, computational biochemists, bioinformaticians, immunologists, pharmaceutical and medical sciences, as well as those in artificial intelligence and machine learning.
The second installment of the multivolume Handbook of Detergents deals with the potential environmental impact of detergents as a result of their production, formulation, usage, consumption, and disposal. This volume forms a comprehensive treatise on the multidimensional issues involved and emphasizes the alignment of scientific knowledge with the relevant contemporary data and methodologies in toxicology, ecotoxicology, and environmental risk assessment. With contributions from over 50 experts worldwide, this volume discusses industry procedures involving surfactant and detergent treatments and explores global concerns centering on recent legislative and regulatory developments.
Medicinal Chemistry, Volume 19: Quantitative Structure-Activity Relationships of Drugs is a critical review of the applications of various quantitative structure-activity relationship (QSAR) methodologies in different drug therapeutic areas and discusses the results in terms of their contribution to medicinal chemistry. After briefly describing the developments in QSAR research, this 12-chapter volume goes on discussing the contributions of QSAR methodology in elucidating drug action and rational development of drugs against bacterial, fungal, viral, and other parasitic infections of man. Other chapters explore the mode of action and QSAR of antitumor, cardiovascular, antiallergic, antiulcer, antiarthritic, and nonsteroidal antiinflammatory drugs (NSAID) agents. The discussion then shifts to the pharmacologic effects and QSAR analysis of central nervous system agents, steroids, and other hormones. A chapter examines the major chemicals affecting insects and mites, with particular emphasis on the parameters of binding correlation and reactivity for insect and mite enzymes. The concluding chapters cover the limitations of the QSAR approach in the quantitative treatment of drug absorption, distribution, and metabolism. This volume is of great value to medicinal chemists, scientists, and researchers.
The use of computers in numerical characterization of molecular structures has given chemists fundamentally new information on chemical structures, leading to major developments in physical, analytical, and medicinal chemistry. This book, written by a pioneer in the field, extends and updates research on quantitative structure retention relationships (QSRR) by consolidating and critically reviewing the extensive literature on the subject while providing basic theoretical and practical information required in all investigations involving chromatography, analytical chemistry, biochemistry, and pharmaceutical research. Coverage includes detailed discussions of the general theories and mechanisms of chromatographic separations, prediction of retention coefficients, statistical techniques and formal requirements of QSRR studies, specific applications of chromatographic data, and much more. Also provides several carefully selected figures and tables plus extensive bibliographies.
In Vitro Toxicology details the protocols and methods of in vitro testing, highlighting the usefulness of models, methods and the cost-effectiveness and reproducibility of such methodologies. The current approaches and strategies required to develop an easy, reliable, validated and high throughput system for use in alternative animal models to circumvent in vivo testing are discussed in detail. The book also includes chapters on the principles involved in the general selection and use of models that address safety concerns, regulatory acceptance and the current understandings and strategies for the identification of biomarkers in toxicity testing. Furthermore, principles involved in the general selection and use of models that address the issues of safety concerns and regulatory acceptance of these models are discussed, making the book beneficial to students, scientists, and regulators working in toxicology, as well as those in the field of chemicals and the safety assessment of novel materials. - Discusses new techniques and protocols in a clear and concise manner - includes examinations of nanotoxicity, genotoxicity and carcinogenicity - Explains practical laboratory methods and the theories behind in vitro testing