Download Computer Applications in Pharmaceutical Research and Development
Download Computer Applications in Pharmaceutical Research and Development
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Computer Applications in Pharmaceutical Research and Development
Download Computer Applications in Pharmaceutical Research and Development
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Review
"Computer Applications in Pharmaceutical Research and Development" is ideal for information technologists who want to understand the application of computers across the entire drug research and development process." (Journal of Clinical Research Best Practices, September 2008) "...a well-put-together volume with a lot of very interesting and timely information to convey...it would be a nice addition to individual, academic, and industrial libraries." (Journal of Medicinal Chemistry, December 28, 2006) "...strongly recommended both to the structural and medicinal chemistry community, and also to...computational chemists...the whole book is really very readable and enjoyable." (Structural Chemistry, December 2006)
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From the Back Cover
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.
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Product details
Hardcover: 832 pages
Publisher: Wiley-Interscience; 1 edition (June 30, 2006)
Language: English
ISBN-10: 0471737798
ISBN-13: 978-0471737797
Product Dimensions:
6.3 x 1.7 x 9.5 inches
Shipping Weight: 2.8 pounds (View shipping rates and policies)
Average Customer Review:
4.7 out of 5 stars
2 customer reviews
Amazon Best Sellers Rank:
#3,349,943 in Books (See Top 100 in Books)
great book, while older version, Ekins was way ahead of the trends
The papers in this book summarise the ways in which computers are used these days in pharmaceutical research. If nothing else, the sheer accrued volume of published research necessitates sophisticated information analysis. So some sections deal with what you might call the library science issues.But the book goes much further. A new field of bioinformatics has emerged, and some chapters of the book attempt to explain it. Sitting at the intersection of computing, biology and chemistry. Specifically within biology, it deals with genomics and cell biology. A key idea is the making available of large databases, for efforts like predicting the 3 dimensional structure of a molecule. And for finding targets for theraputic intervention. How to describe this data in a way useful to others to avail themselves of it? The text shows progress along this front.Some parts of the book are really just describing the state of the art of crystallography. Where the challenges are in finding or predicting the structures of large biologically significant molecules.
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