Collaborative Computational Technologies for Biomedical Research
Published on 18. April 2011
480 pages
978-1-118-02601-4 (ISBN)
Description
Methods, Processes, and Tools for Collaboration
"The time has come to fundamentally rethink how we handle thebuilding of knowledge in biomedical sciences today. This bookdescribes how the computational sciences have transformed intobeing a key knowledge broker, able to integrate and operate acrossdivergent data types."--Bryn Williams-Jones, Associate ResearchFellow, Pfizer
The pharmaceutical industry utilizes an extended network ofpartner organizations in order to discover and develop new drugs,however there is currently little guidance for managing informationand resources across collaborations.
Featuring contributions from the leading experts in a range ofindustries, Collaborative Computational Technologies for BiomedicalResearch provides information that will help organizations makecritical decisions about managing partnerships, including:
* Serving as a user manual for collaborations
* Tackling real problems from both human collaborative and dataand informatics perspectives
* Providing case histories of biomedical collaborations andtechnology-specific chapters that balance technological depth withaccessibility for the non-specialist reader
A must-read for anyone working in the pharmaceuticals industryor academia, this book marks a major step towards widespreadcollaboration facilitated by computational technologies.
Reviews / Votes
"The book is of interest to researchers developing IT systems inthe pharmaceutical industry, and for those participating in drugdiscovery 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 hopethat the pure thrill of crowdsourcing may accelerate the process ofdiscovery while preserving a free market economy.... The bookcontains... [contributions from a] multi-national task force if youwill of some of the world's finest minds in life and physicalscience and 'cloud-native' knowledge-sharing." (UntangledHealth, 11 August 2011)More details
Other editions
Additional editions
Sean Ekins | Maggie A. Z. Hupcey | Antony J. Williams
Collaborative Computational Technologies for Biomedical Research
Book
07/2011
Wiley
€161.50
Article not available at the moment
Software
05/2011
Wiley
€156.14
No shipping information available
Persons
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.
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
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
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, Renée J. G. Arnold, Cameron Neylon, Robin W. Spencer, Stephan Schürer, and Sean Ekins
INDEX 519
