Collaborative Computational Technologies for Biomedical Research / Edition 1

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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.

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Editorial Reviews

From the Publisher
"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)

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Product Details

Meet the Author

SEAN EKINS, MSc, PhD, DSc, is the Principal atCollaborations in Chemistry, and Collaborations Director atCollaborative Drug Discovery, Inc., as well as an Adjunct AssociateProfessor in the Department of Pharmaceutical Sciences, Universityof Maryland School of Pharmacy. He has published more than 170papers and book chapters on computational and in vitro drugdiscovery approaches and has previously edited or co-edited threebooks for Wiley.

MAGGIE A. Z. HUPCEY, PhD, is a chemist working within theLife Sciences and Healthcare Practice of PA Consulting Group inPrinceton, New Jersey. She has worked on collaborative projects forthe design and development of new products and processes in themedical device, drug delivery, and drug discovery fields, includingpresubmission and post-launch regulatory compliance activities.

ANTONY J. WILLIAMS, PhD, FRSC, is currently VicePresident, Strategic Development, at the Royal Society of Chemistryand holds an adjunct position at UNC-Chapel Hill. He has writtenchapters for many books and published more than 100 peer-reviewedpapers and book chapters on NMR, predictive ADME methods,Internet-based tools, crowdsourcing, and database curation. He isan active blogger and participant in the Internet chemistrynetwork.

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Table of Contents

Alpheus Bingham




1. The Need for Collaborative Technologies in Drug Discovery3
Chris L. Waller, Ramesh V. Durvasula, and Nick Lynch

2. Collaborative Innovation: The Essential Foundation ofScientific Discovery 19
Robert Porter Lynch

3. Models for Collaborations and Computational Biology39
Shawnmarie Mayrand-Chung, Gabriela Cohen-Freue, andZsuzsanna Hollander

4. Precompetitive Collaborations in the PharmaceuticalIndustry 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


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 BiomedicalOntologies 179
Tania Tudorache and Mark A. Musen

13. Standards for Collaborative Computational Technologiesfor 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 DavidHill

16. Enabling Precompetitive Translational Research: A CaseStudy 241
Sándor Szalma

17. Collaboration in Cancer Research Community: CancerBiomedical Informatics Grid (caBIG) 261
George A. Komatsoulis

18. Leveraging Information Technology for Collaboration inClinical Trials 281
O. K. Baek


19. Evolution of Electronic Laboratory Notebooks 303
Keith T. Taylor

20. Collaborative Tools to Accelerate Neglected DiseaseResearch: Open Source Drug Discovery Model 321
Anshu Bhardwaj, Vinod Scaria, Zakir Thomas, SanthoshAdayikkoth, Open Source Drug Discovery (OSDD) Consortium, and SamirK. Brahmachari

21. Pioneering Use of the Cloud for Development ofCollaborative Drug Discovery (CDD) Database 335
Sean Ekins, Moses M. Hohman, and Barry A. Bunin

22. Chemspider: a Platform for Crowdsourced Collaboration toCurate 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


25. Collaboration Using Open Notebook Science in Academia425
Jean-Claude Bradley, Andrew S. I. D. Lang, Steve Koch, andCameron Neylon

26. Collaboration and the Semantic Web 453
Christine Chichester and Barend Mons

27. Collaborative Visual Analytics Environment for ImagingGenetics 467
Zhiyu He, Kevin Ponto, and Falko Kuester

28. Current and Future Challenges for CollaborativeComputational Technologies for the Life Sciences 491
Antony J. Williams, Renée J. G. Arnold, Cameron Neylon,Robin W. Spencer, Stephan Schürer, and Sean Ekins


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