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.

Leading experts illustrate how sophisticated computational data mining techniques can impact contemporary drug discovery and development In the era of post-genomic drug development, extracting and applying knowledge from chemical, biological, and clinical data is one of the greatest challenges facing the pharmaceutical industry. Pharmaceutical Data Mining brings together contributions from leading academic and industrial scientists, who address both the implementation of new data mining technologies and application issues in the industry. This accessible, comprehensive collection discusses important theoretical and practical aspects of pharmaceutical data mining, focusing on diverse approaches for drug discovery—including chemogenomics, toxicogenomics, and individual drug response prediction. The five main sections of this volume cover: A general overview of the discipline, from its foundations to contemporary industrial applications Chemoinformatics-based applications Bioinformatics-based applications Data mining methods in clinical development Data mining algorithms, technologies, and software tools, with emphasis on advanced algorithms and software that are currently used in the industry or represent promising approaches In one concentrated reference, Pharmaceutical Data Mining reveals the role and possibilities of these sophisticated techniques in contemporary drug discovery and development. It is ideal for graduate-level courses covering pharmaceutical science, computational chemistry, and bioinformatics. In addition, it provides insight to pharmaceutical scientists, principal investigators, principal scientists, research directors, and all scientists working in the field of drug discovery and development and associated industries.

Fragment-based drug discovery (FBDD) is a new paradigm in drug discovery that utilizes very small molecules - fragments of larger molecules. It is a faster, cheaper, smarter way to do drug discovery, as shown by the number of pharmaceutical companies that have embraced this approach and the biotechnology companies who use fragments as their sole source of drug discovery. Fragment-Based Drug Discovery: A Practical Approach is a guide to the techniques and practice of using fragments in drug screening. The emphasis is on practical guidance, with procedures, case studies, practical tips, and contributions from industry. Topics covered include: an introduction to fragment based drug discovery, why using fragments is a more efficient process than predominant models, and what it means to have a successful FBDD effort. setting up an FBDD project library building and production NMR in fragment screening and follow up application of protein-ligand NOE matching to the rapid evaluation of fragment binding poses target immobilized NMR screening: validation and extension to membrane proteins in situ fragment-based medicinal chemistry: screening by mass spectrometry computational approaches to fragment and substructure discovery and evaluation virtual fragment scanning: current trends, applications and web based tools fragment-based lead discovery using covalent capture methods case study from industry: the identification of high affinity beta-secretase inhibitors using fragment-based lead generation With contributions from industry experts who have successfully set up an industrial fragment-based research program, Fragment-Based Drug Discovery: A Practical Approach offers essential advice to anyone embarking on drug discovery using fragments and those looking for a new approach to screening for drugs.

Animal and Translational Models for CNS Drug Discovery combines the experience of academic, clinical and pharmaceutical neuroscientists in a unique collaborative approach to provide a greater understanding of the relevance of animal models of neuropsychiatric disorders and their role as translational tools for the discovery of CNS drugs being developed for the treatment of these disorders. The focus of this three-volume series of essays is to present a consensual picture of the translational value of animal models from leading experts actively involved in the use of animal models for understanding fundamental neurobiology of CNS disorders and the application of this knowledge to CNS drug discovery, and clinical investigators involved in clinical trials, drug development and eventual registration of novel pharmaceuticals. Each volume of the Animal and Translational Models for CNS Drug Discovery series is dedicated to the development and use of animal models in key therapeutic areas in psychiatric, neurologic and reward deficit disorders. Each volume has introductory chapters expressing the view of the role and relevance of animal models for CNS drug discovery and development from the perspective of (a) academic basic neuroscientific research, (b) applied pharmaceutical drug discovery and development, and (c) issues of clinical trial design and regulatory agencies limitations. Each volume examines the rationale, use, robustness and limitations of animal models in relevant therapeutic areas and discusses the use of animal models for target identification and validation. The clinical relevance of animal models is discussed in terms of major limitations in cross-species comparisons, clinical trial design of drug candidates, and how clinical trial endpoints could be improved. The aim of this series of volumes on Animal and Translational Models for CNS Drug Discovery is to identify and provide common endpoints between species that can serve to inform both the clinic and the bench with the information needed to accelerate clinically-effective CNS drug discovery. - Provides clinical, academic, government and industry perspectives fostering integrated communication between principle participants at all stages of the drug discovery process - Critical evaluation of animal and translational models improving transition from drug discovery and clinical development - Emphasizes what results mean to the overall drug discovery process - Explores issues in clinical trial design and conductance in each therapeutic area - Each volume is available for purchase individually.

Psychiatric Disorders is written for researchers in both academia and the pharmaceutical industry who use animal models in research and development of drugs for psychiatric disorders such as anxiety, obsessive-compulsive disorder, depression, schizophrenia, bipolar disorder, ADHD, and autistic spectrum disorder. Psychiatric Disorders has introductory chapters expressing the view of the role and relevance of animal models for drug discovery and development for the treatment of psychiatric disorders from the perspective of (a) academic basic neuroscientific research, (b) applied pharmaceutical drug discovery and development, and (c) issues of clinical trial design and regulatory agencies limitations. Each volume examines the rationale, use, robustness and limitations of animal models in each therapeutic area covered and discuss the use of animal models for target identification and validation. The clinical relevance of animal models is discussed in terms of major limitations in cross-species comparisons, clinical trial design of drug candidates, and how clinical trial endpoints could be improved. The aim of this series of volumes on Animal and Translational Models for CNS Drug Discovery is to identify and provide common endpoints between species that can serve to inform both the clinic and the bench with the information needed to accelerate clinically-effective CNS drug discovery. This is the first volume in the three volume-set, Animal and Translational Models for CNS Drug Discovery 978-0-12-373861-5, and is also available for purchase individually. - Provides clinical, academic, government and industry perspectives fostering integrated communication between principle participants at all stages of the drug discovery process - Critical evaluation of animal and translational models improving transition from drug discovery and clinical development - Emphasizes what results mean to the overall drug discovery process - Explores issues in clinical trial design and conductance in each therapeutic area - Psychiatric Disorders is available for purchase individually.

This eBook series brings updated reviews to readers interested in advances in the development of anti-infective drug design and discovery. The scope of the eBook series covers a range of topics including rational drug design and drug discovery, medicinal chemistry, in-silico drug design, combinatorial chemistry, high-throughput screening, drug targets, recent important patents, and structure-activity relationships. Frontiers in Anti-Infective Drug Discovery is a valuable resource for pharmaceutical scientists and post-graduate students seeking updated and critically important information for developing clinical trials and devising research plans in this field. The fifth volume of this series features 6 chapters that cover the following topics: - Virus infection pathways in living cells - Antimicrobial activity of natural products (essential oils and food products) - Medicinal plants that produce immunomodulators of veterinary interest - In silico approaches for determination of drug targets

At the intersection of computer science and healthcare, data analytics has emerged as a promising tool for solving problems across many healthcare-related disciplines. Supplying a comprehensive overview of recent healthcare analytics research, Healthcare Data Analytics provides a clear understanding of the analytical techniques currently available

The modern pharmacopeia has enormous power to alleviate disease, and owes its existence almost entirely to the work of the pharmaceutical industry. This book provides an introduction to the way the industry goes about the discovery and development of new drugs. The first part gives a brief historical account from its origins in the mediaeval apothecaries' trade, and discusses the changing understanding of what we mean by disease, and what therapy aims to achieve, as well as summarising case histories of the discovery and development of some important drugs. The second part focuses on the science and technology involved in the discovery process: the stages by which a promising new chemical entity is identified, from the starting point of a medical need and an idea for addressing it. A chapter on biopharmaceuticals, whose discovery and development tend to follow routes somewhat different from synthetic compounds, is included here, as well as accounts of patent issues that arise in the discovery phase, and a chapter on research management in this environment. The third section of the book deals with drug development: the work that has to be undertaken to turn the drug candidate that emerges from the discovery process into a product on the market. - The definitive introduction to how a pharmaceutical company goes about its business of discovering and developing drugs. The second edition has a new editor: Professor Raymond Hill ? non-executive director of Addex Pharmaceuticals, Covagen and of Orexo AB ? Visiting Industrial Professor of Pharmacology in the University of Bristol ? Visiting Professor in the School of Medical and Health Sciences at the University of Surrey ? Visiting Professor in Physiology and Pharmacology at the University of Strathclyde ? President and Chair of the Council of the British Pharmacological Society ? member of the Nuffield Council on Bioethics and the Advisory Council on Misuse of Drugs. New to this edition: - Completely rewritten chapter on The Role of Medicinal Chemistry in the Drug Discovery Process. - New topic - DMPK Optimization Strategy in drug discovery. - New chapter on Scaffolds: Small globular proteins as antibody substitutes. - Totally updated chapters on Intellectual Property and Marketing - 50 new illustrations in full colour Features - Accessible, general guide to pharmaceutical research and development. - Examines the interfaces between cost and social benefit, quality control and mass production, regulatory bodies, patent management, and all interdisciplinary intersections essential to effective drug development. - Written by a strong team of scientists with long experience in the pharmaceutical industry. - Solid overview of all the steps from lab bench to market in an easy-to-understand way which will be accessible to non-specialists. From customer reviews of the previous edition: '... it will have everything you need to know on this module. Deeply referenced and, thus, deeply reliable. - Highly Commended in the medicine category of the BMA 2006 medical book competition - Winner of the Royal Society of Medicine Library Prize for Medical Book of the Year

Phytochemicals as Lead Compounds for New Drug Discovery presents complete coverage of the recent advances in the discovery of phytochemicals from medicinal plants as models to the development of new drugs and chemical entities. Functional bioactive compounds of plant origin have been an invaluable source for many human therapeutic drugs and have played a major role in the treatment of diseases around the world. These compounds possess enormous structural and chemical diversity and have led to many important discoveries. This book presents fundament concepts and factors affecting the choice for plant-based products, as well as recent advances in computer-aided drug discovery and FDA drug candidacy acceptance criteria. It also details the various bioactive lead compounds and molecular targets for a range of life-threatening diseases including cancer, diabetes, and neurodegenerative diseases. Written by a global team of experts, Phytochemicals as Lead Compounds for New Drug Discovery is an ideal resource for drug developers, phytochemists, plant biochemists, food and medicinal chemists, nutritionists and toxicologists, chemical ecologists, taxonomists, analytical chemists, and other researchers in those fields. It will also be very valuable to professors, students, and researchers in this domain. - Presents fundamental concepts and factors affecting choice for plant-based products - Details the FDA drug candidacy acceptance criteria, including bottlenecks and way forward - Highlights recent advances in computational-based drug discovery - Focuses on the discovery of new drugs and potential druggable targets for the treatment of chronic diseases of world importance