Computer Applications in Pharmaceutical Research and Development (Rating: 2 - 5 votes)
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, The Future of the Pharmaceutical Industry, The Engines of Hippocrates: From the Dawn of Medicine to Medical and Pharmaceutical Informatics, Computational Toxicology: Risk Assessment for Pharmaceutical and Environmental Chemicals, , Pharmaceutical and Biomedical Project Management in a Changing Global Environment, , Collaborative Computational Technologies for Biomedical Research, Computer Applications in Pharmaceutical Research and Development, Drug Efficacy, Safety, and Biologics Discovery: Emerging Technologies and Tools (Wiley Series on Technologies for the Pharmaceutical Industry #4)
A comprehensive analysis of state-of-the-art molecular modeling approaches and strategies applied to risk assessment for pharmaceutical and environmental chemicals
This unique volume describes how the interaction of molecules with toxicologically relevant targets can be predicted using computer-based tools utilizing X-ray crystal structures or homology, receptor, pharmacophore, and quantitative structure activity relationship (QSAR) models of human proteins. It covers the in vitro models used, newer technologies, and regulatory aspects. The book offers a complete systems perspective to risk assessment prediction, discussing experimental and computational approaches in detail, with:
An introduction to toxicology methods and an explanation of computational methods
In-depth reviews of QSAR methods applied to enzymes, transporters, nuclear receptors, and ion channels
Sections on applying computers to toxicology assessment in the pharmaceutical industry and in the environmental arena
Chapters written by leading international experts
Figures that illustrate computational models and references for further information
This is a key resource for toxicologists and scientists in the pharmaceutical industry and environmental sciences as well as researchers involved in ADMET, drug discovery, and technology and software development., A unique, integrative look at information-based medicine The convergence of medical science, biology, pharmacology, biomedical engineering, healthcare, and information technology is revolutionizing medical and scientific practice, and has broader social implications still being understood. The Engines of Hippocrates provides a unique, integrative, and holistic look at the new paradigm of information-based medicine, covering a broad range of topics for a wide readership.
The authors take a comprehensive approach, examining the prehistory, history, and future of medicine and medical technology and its relation to information; how history led to such present-day discoveries as the structure of DNA, the human genome, and the discipline of bioinformatics; and what the future results of these discoveries may hold. Their far-ranging views are their own and not necessarily those of the IBM Corporation or other employers.
The Engines of Hippocrates helps readers understand:
Forces shaping the pharmaceutical and biomedical industries today, including personalized medicine, genomics, data mining, and bionanotechnology The relationship between pharmaceutical science today and other disciplines such as philosophy of health, history, economics, mathematics, and computer science
The integrated role alternative and non-Western medicines could play in a new, information-based medicine
Practical, ethical, organizational, technological, and social problems of information-based medicine, along with a novel data-centric computing model and a self-adaptive software engineering model, and corresponding information technology architectures, including perspectives on sharing remote data efficiently and securely for the common good
An unmatched, cross-disciplinary perspective on the big picture of today and tomorrow's medicine, The Engines of Hippocrates provides a reference to interested readers both inside and outside the pharmaceutical and medical communities, as well as a peerless classroom supplement to students in a wide variety of disciplines., Methods, Processes, and Tools for Collaboration
"The time has come to fundamentally rethink how we handle the building of knowledge in biomedical sciences today. This book describes how the computational sciences have transformed into being a key knowledge broker, able to integrate and operate across divergent data types."--Bryn Williams-Jones, Associate Research Fellow, Pfizer
The pharmaceutical industry utilizes an extended network of partner organizations in order to discover and develop new drugs, however there is currently little guidance for managing information and resources across collaborations.
Featuring contributions from the leading experts in a range of industries, Collaborative Computational Technologies for Biomedical Research provides information that will help organizations make critical decisions about managing partnerships, including:
Serving as a user manual for collaborations
Tackling real problems from both human collaborative and data and informatics perspectives
Providing case histories of biomedical collaborations and technology-specific chapters that balance technological depth with accessibility for the non-specialist reader
A must-read for anyone working in the pharmaceuticals industry or academia, this book marks a major step towards widespread collaboration facilitated by computational technologies., A unique, holistic approach covering all functions and phases of pharmaceutical research and development
While there are a number of texts dedicated to individual aspects of pharmaceutical research and development, this unique contributed work takes a holistic and integrative approach to the use of computers in all phases of drug discovery, development, and marketing. It explains how applications are used at various stages, including bioinformatics, data mining, predicting human response to drugs, and high-throughput screening. By providing a comprehensive view, the book offers readers a unique framework and systems perspective from which they can devise strategies to thoroughly exploit the use of computers in their organizations during all phases of the discovery and development process.
Chapters are organized into the following sections:
* Computers in pharmaceutical research and development: a general overview
* Understanding diseases: mining complex systems for knowledge
* Scientific information handling and enhancing productivity
* Computers in drug discovery
* Computers in preclinical development
* Computers in development decision making, economics, and market analysis
* Computers in clinical development
* Future applications and future development
Each chapter is written by one or more leading experts in the field and carefully edited to ensure a consistent structure and approach throughout the book. Figures are used extensively to illustrate complex concepts and multifaceted processes. References are provided in each chapter to enable readers to continue investigating a particular topic in depth. Finally, tables of software resources are provided in many of the chapters.
This is essential reading for IT professionals and scientists in the pharmaceutical industry as well as researchers involved in informatics and ADMET, drug discovery, and technology development. The book's cross-functional, all-phases approach provides a unique opportunity for a holistic analysis and assessment of computer applications in pharmaceutics.