Collaborative Computational Technologies for Biomedical Research. Wiley Series on Technologies for the Pharmaceutical Industry

  • ID: 2171466
  • Book
  • 576 Pages
  • John Wiley and Sons Ltd
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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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Alpheus Bingham




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


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
Sándor 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


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


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, Renée J. G. Arnold, Cameron Neylon, Robin W. Spencer, Stephan Schürer, and Sean Ekins


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"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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