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Chemogenomics in Drug Discovery
Chemogenomics brings together the most powerful concepts in modern chemistry and biology, linking combinatorial chemistry with genomics and proteomics. This first reference devoted to the topic covers all stages of the early drug discovery process, from target selection to compound library and lead design. With the combined expertise of 20 research groups from academia and leading pharmaceutical companies, this is a must-have for every drug developer and medicinal chemist applying the powerful methods of chemogenomics to speed up the drug discovery process.
Molecular Drug Properties
This first systematic overview for more than a decade is tailor-made for the medicinal chemist. All the chapters are written by experienced drug developers and include practical examples from real drug candidates. Following an introduction to global drug properties and their impact on drug research, screening and combinatorial chemistry libraries, this handbook demonstrates the best and fastest way to estimate those properties most relevant for the efficiency and pharmacokinetic performance of a drug molecule: lipophilicity,solubility, electronic properties and conformation.
Lead Generation, 2 Volume Set
In this comprehensive two-volume resource on the topic senior lead generation medicinal chemists present a coherent view of the current methods and strategies in industrial and academic lead generation. This is the first book to combine both standard and innovative approaches in comparable breadth and depth, including several recent successful lead generation case studies published here for the first time. Beginning with a general discussion of the underlying principles and strategies, individual lead generation approaches are described in detail, highlighting their strengths and weaknesses, along with all relevant bordering disciplines like e.g. target identification and validation, predict...
Pharmacokinetics and Metabolism in Drug Design
In this new edition of a bestseller, all the contents have been brought upto-date by addressing current standards and best practices in the assessment and prediction of ADMET properties. Although the previous chapter layout has been retained, substantial revisions have been made, with new topics such as pro-drugs, active metabolites and transporters covered in detail in a manner useful to the Drug Discovery scientist. The authors discuss the parameters and processes important for the absorption, distribution and retention of drug compounds in the body, plus the potential problems created by their transformation into toxic byproducts. While aimed at all those dealing professionally with the development and application of pharmaceutical substances, the readily comprehensible style makes this book equally suitable for students of pharmacy and related subjects. Uniquely comprehensive, the book relates physicochemistry and chemical structure to pharmacokinetic properties and ultimately drug efficacy and safety.
Chemoinformatics in Drug Discovery
This handbook provides the first-ever inside view of today's integrated approach to rational drug design. Chemoinformatics experts from large pharmaceutical companies, as well as from chemoinformatics service providers and from academia demonstrate what can be achieved today by harnessing the power of computational methods for the drug discovery process. With the user rather than the developer of chemoinformatics software in mind, this book describes the successful application of computational tools to real-life problems and presents solution strategies to commonly encountered problems. It shows how almost every step of the drug discovery pipeline can be optimized and accelerated by using chemoinformatics tools -- from the management of compound databases to targeted combinatorial synthesis, virtual screening and efficient hit-to-lead transition. An invaluable resource for drug developers and medicinal chemists in academia and industry.
Data Mining in Drug Discovery
Written for drug developers rather than computer scientists, this monograph adopts a systematic approach to mining scientifi c data sources, covering all key steps in rational drug discovery, from compound screening to lead compound selection and personalized medicine. Clearly divided into four sections, the first part discusses the different data sources available, both commercial and non-commercial, while the next section looks at the role and value of data mining in drug discovery. The third part compares the most common applications and strategies for polypharmacology, where data mining can substantially enhance the research effort. The final section of the book is devoted to systems biology approaches for compound testing. Throughout the book, industrial and academic drug discovery strategies are addressed, with contributors coming from both areas, enabling an informed decision on when and which data mining tools to use for one's own drug discovery project.
Protein Kinases as Drug Targets
This timely guide to kinase inhibitor drug development is the first to cover the entire drug pipeline, from target identification to compound development and clinical application. Edited by the pioneers in the field, on the drug development side this ready reference discusses classical medicinal chemistry approaches as well as current chemical genomics strategies. On the clinical side, both current and future therapeutic application areas for kinase inhibitor drugs are addressed, with a strong focus on oncology drugs. Backed by recent clinical experience with first-generation drugs in the battle against various forms of cancer, this is crucial reading for medicinal, pharmaceutical and biochemists, molecular biologists, and oncologists, as well as those working in the pharmaceutical industry.
Lead Generation
In this comprehensive two-volume resource on the topic senior lead generation medicinal chemists present a coherent view of the current methods and strategies in industrial and academic lead generation. This is the first book to combine both standard and innovative approaches in comparable breadth and depth, including several recent successful lead generation case studies published here for the first time. Beginning with a general discussion of the underlying principles and strategies, individual lead generation approaches are described in detail, highlighting their strengths and weaknesses, along with all relevant bordering disciplines like e.g. target identification and validation, predict...
Drug Metabolism Prediction
The first professional reference on this highly relevant topic, for drug developers, pharmacologists and toxicologists. The authors provide more than a systematic overview of computational tools and knowledge bases for drug metabolism research and their underlying principles. They aim to convey their expert knowledge distilled from many years of experience in the field. In addition to the fundamentals, computational approaches and their applications, this volume provides expert accounts of the latest experimental methods for investigating drug metabolism in four dedicated chapters. The authors discuss the most important caveats and common errors to consider when working with experimental data. Collating the knowledge gained over the past decade, this practice-oriented guide presents methods not only used in drug development, but also in the development and toxicological assessment of cosmetics, functional foods, agrochemicals, and additives for consumer goods, making it an invaluable reference in a variety of disciplines.
Protein-Protein Interactions in Drug Discovery
Treating protein-protein interactions as a novel and highly promising class of drug targets, this volume introduces the underlying strategies step by step, from the biology of PPIs to biophysical and computational methods for their investigation. The main part of the book describes examples of protein targets for which small molecule modulators have been developed, covering such diverse fields as cancer, autoimmune disorders and infectious diseases. Tailor-made for the practicing medicinal chemist, this ready reference includes a wide selection of case studies taken straight from the development pipeline of major pharmaceutical companies to illustrate the power and potential of this approach...
