Collaborative Computational Technologies for Biome dical Research
Published on 4. May 2011
Software
Other digital
576 pages
978-1-118-02603-8 (ISBN)
Description
Covering a neglected but important topic of management and information technology collaborations in drug discovery and development, this book discusses the state-of-the-art collaborative and computing techniques for the pharmaceutical industry. Tackling problems thoroughly, from both the human collaborative and the data and informatics side, this volume is relevant to the day-to-day activities of running a laboratory or a collaborative R&D project. Researchers will appreciate this how-to guide for new laboratories, new companies, and new partnerships, as well as a user manual for how to troubleshoot existing collaborations.
Reviews / Votes
"The book is of interest to researchers developing IT systems in the pharmaceutical industry, and for those participating in drug discovery collaborations." (Book News, 1 October 2011) "What unveiled itself as I turned the pages was ... a truthful, meaningful accounting of an evolving social science, perhaps a hope that the pure thrill of crowdsourcing may accelerate the process of discovery while preserving a free market economy... The book contains... [contributions from a] multi-national task force if you will of some of the world's finest minds in life and physical science and 'cloud-native' knowledge-sharing." (Untangled Health, 11 August 2011)More details
Language
English
Place of publication
New York
United States
Target group
Professional and scholarly
ISBN-13
978-1-118-02603-8 (9781118026038)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Sean Ekins | Maggie A. Z. Hupcey | Antony J. Williams
Collaborative Computational Technologies for Biomedical Research
E-Book
08/2011
Wiley
€142.99
Available for download
Sean Ekins | Maggie A. Z. Hupcey | Antony J. Williams
Collaborative Computational Technologies for Biomedical Research
E-Book
04/2011
Wiley
€142.99
Available for download
Person
SEAN EKINS, MSc, PhD, DSc , is the Principal at Collaborations in Chemistry, and Collaborations Director at Collaborative Drug Discovery, Inc., as well as an Adjunct Associate Professor in the Department of Pharmaceutical Sciences, University of Maryland School of Pharmacy. He has published more than 170 papers and book chapters on computational and in vitro drug discovery approaches and has previously edited or co-edited three books for Wiley. MAGGIE A. Z. HUPCEY, PhD, is a chemist working within the Life Sciences and Healthcare Practice of PA Consulting Group in Princeton, New Jersey. She has worked on collaborative projects for the design and development of new products and processes in the medical device, drug delivery, and drug discovery fields, including presubmission and post-launch regulatory compliance activities. ANTONY J. WILLIAMS, PhD, FRSC , is currently Vice President, Strategic Development, at the Royal Society of Chemistry and holds an adjunct position at UNC-Chapel Hill. He has written chapters for many books and published more than 100 peer-reviewed papers and book chapters on NMR, predictive ADME methods, Internet-based tools, crowdsourcing, and database curation. He is an active blogger and participant in the Internet chemistry network.
Content
FOREWORD xi Alpheus Bingham PREFACE xv CONTRIBUTORS xix PART I GETTING PEOPLE TO COLLABORATE 1 1. The Need for Collaborative Technologies in Drug Discovery 3 Chris L. Waller, Ramesh V. Durvasula, and Nick Lynch 2. Collaborative Innovation: The Essential Foundation of Scientific Discovery 19 Robert Porter Lynch 3. Models for Collaborations and Computational Biology 39 Shawnmarie Mayrand-Chung, Gabriela Cohen-Freue, and Zsuzsanna Hollander 4. Precompetitive Collaborations in the Pharmaceutical Industry 55 Jackie Hunter 5. Collaborations in Chemistry 85 Sean Ekins, Antony J. Williams, and Christina K. Pikas 6. Consistent Patterns in Large-Scale Collaboration 99 Robin W. Spencer 7. Collaborations Between Chemists and Biologists 113 Victor J. Hruby 8. Ethics of Collaboration 121 Richard J. McGowan, Matthew K. McGowan, and Garrett J. McGowan 9. Intellectual Property Aspects of Collaboration 133 John Wilbanks PART II METHODS AND PROCESSES FOR COLLABORATIONS 147 10. Scientific Networking and Collaborations 149 Edward D. Zanders 11. Cancer Commons: Biomedicine in the Internet Age 161 Jeff Shrager, Jay M. Tenenbaum, and Michael Travers 12. Collaborative Development of Large-Scale Biomedical Ontologies 179 Tania Tudorache and Mark A. Musen 13. Standards for Collaborative Computational Technologies for Biomedical Research 201 Sean Ekins, Antony J. Williams, and Maggie A. Z. Hupcey 14. Collaborative Systems Biology: Open Source, Open Data, and Cloud Computing 209 Brian Pratt 15. Eight Years Using Grids for Life Sciences 221 Vincent Breton, Lydia Maigne, David Sarramia, and David Hill 16. Enabling Precompetitive Translational Research: A Case Study 241 Sandor Szalma 17. Collaboration in Cancer Research Community: Cancer Biomedical Informatics Grid (caBIG) 261 George A. Komatsoulis 18. Leveraging Information Technology for Collaboration in Clinical Trials 281 O. K. Baek PART III TOOLS FOR COLLABORATIONS 301 19. Evolution of Electronic Laboratory Notebooks 303 Keith T. Taylor 20. Collaborative Tools to Accelerate Neglected Disease Research: Open Source Drug Discovery Model 321 Anshu Bhardwaj, Vinod Scaria, Zakir Thomas, Santhosh Adayikkoth, Open Source Drug Discovery (OSDD) Consortium, and Samir K. Brahmachari 21. Pioneering Use of the Cloud for Development of Collaborative Drug Discovery (CDD) Database 335 Sean Ekins, Moses M. Hohman, and Barry A. Bunin 22. Chemspider: a Platform for Crowdsourced Collaboration to Curate Data Derived From Public Compound Databases 363 Antony J. Williams 23. Collaborative-Based Bioinformatics Applications 387 Brian D. Halligan 24. Collaborative Cheminformatics Applications 399 Rajarshi Guha, Ola Spjuth, and Egon Willighagen PART IV THE FUTURE OF COLLABORATIONS 423 25. Collaboration Using Open Notebook Science in Academia 425 Jean-Claude Bradley, Andrew S. I. D. Lang, Steve Koch, and Cameron Neylon 26. Collaboration and the Semantic Web 453 Christine Chichester and Barend Mons 27. Collaborative Visual Analytics Environment for Imaging Genetics 467 Zhiyu He, Kevin Ponto, and Falko Kuester 28. Current and Future Challenges for Collaborative Computational Technologies for the Life Sciences 491 Antony J. Williams, Renee J. G. Arnold, Cameron Neylon, Robin W. Spencer, Stephan Schurer, and Sean Ekins INDEX 519