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Computer Applications in Pharmaceutical Research and Development

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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 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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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 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.

31 review for Computer Applications in Pharmaceutical Research and Development

  1. 4 out of 5

    loafingcactus

    I can't imagine any situation where I would have read this book except that it was required for a class. Given that, it covers the topic very well and as of winter 2011 is only slightly outddated. Most of the chapters in the beginning are very specific, with a lot of information on molecule identification. The last three chapters are most useful, covering the big picture of ethics and the fact that all this information isn't doing pharam as much good as one might have thought.

  2. 4 out of 5

    Carol Andserson

  3. 4 out of 5

    Book Falcons

  4. 5 out of 5

    Jen Duncil

  5. 4 out of 5

    Habiba

  6. 4 out of 5

    Casey

  7. 5 out of 5

    Lavanya N

  8. 4 out of 5

    Suganya

  9. 4 out of 5

    Habiba

  10. 4 out of 5

    notv

  11. 5 out of 5

    Ben

  12. 5 out of 5

    Vivekanandan Reddy

  13. 5 out of 5

    Яна

  14. 5 out of 5

    Mohnshine

  15. 5 out of 5

    Arigo Anbarasan

  16. 5 out of 5

    Ummul

  17. 4 out of 5

    Naveen Bhardwaj

  18. 4 out of 5

    Narendra

  19. 4 out of 5

    Dablo

  20. 5 out of 5

    Monu Singh

  21. 4 out of 5

    Preeti Dutta

  22. 4 out of 5

    Gitika

  23. 5 out of 5

    Saumya

  24. 4 out of 5

    Pavan Vasantha

  25. 4 out of 5

    Tazeri

  26. 4 out of 5

    Shinde Prajakta

  27. 4 out of 5

    Ðeepak Sħarma

  28. 4 out of 5

    Shagun Singh

  29. 4 out of 5

    Nirlipta Mohapatra

  30. 4 out of 5

    Manisha

  31. 5 out of 5

    Sambit

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