Collaborative Computational Technologies for Biomedical Research

by Ekins, Sean; Hupcey, Maggie A. Z.; Williams, Antony J.; Bingham, Alpheus

• ISBN13: 9780470638033
• ISBN10: 0470638036
• Edition: 1st
• Format: Hardcover
• Copyright: 2011-07-20
• Publisher: Wiley

Summary

This book discusses the state-of-the-art collaborative and computing techniques for the pharmaceutical industry, the present and future implications and opportunities to advance healthcare research. The book tackles problems thoroughly, from both the human collaborative and the data and informatics side, and is very relevant to the day-to-day activities running a laboratory or a collaborative R&D project. It can be applied to help organizations make critical decisions about managing drug discovery and development partnership. The book follows a "man- methods-machine" format with sections on how to get people to collaborate, collaborative methods, and computational tools for collaboration. This book offers the reader a "getting started guide" or instruction on "how to collaborate" for new laboratories, new companies, and new partnerships, as well as a user manual for how to troubleshoot existing collaborations.

Author Biography

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 pre submission 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, crowd sourcing, and database duration. He is an active loggers and participant in the Internet chemistry network.

Table of Contents

Foreword	p. xi
Preface	p. xv
Contributors	p. xix
Getting People to Collaborate	p. 1
The Need for Collaborative Technologies in Drug Discovery	p. 3
Collaborative Innovation: The Essential Foundation of Scientific Discovery	p. 19
Models for Collaborations and Computational Biology	p. 39
Precompetitive Collaborations in the Pharmaceutical Industry	p. 55
Collaborations in Chemistry	p. 85
Consistent Patterns in Large-Scale Collaboration	p. 99
Collaborations Between Chemists and Biologists	p. 113
Ethics of Collaboration	p. 121
Intellectual Property Aspects of Collaboration	p. 133
Methods and Processes For Collaborations	p. 147
Scientific Networking and Collaborations	p. 149
Cancer Commons: Biomedicine in the Internet Age	p. 161
Collaborative Development of Large-Scale Biomedical Ontologies	p. 179
Standards for Collaborative Computational Technologies for Biomedical Research	p. 201
Collaborative Systems Biology: Open Source, Open Data, and Cloud Computing	p. 209
Eight Years Using Grids for Life Sciences	p. 221
Enabling Precompetitive Translational Research: A Case Study	p. 241
Collaboration in Cancer Research Community: Cancer Biomedical Informatics Grid (caBIG)	p. 261
Leveraging Information Technology for Collaboration in Clinical Trials	p. 281
Tools for Collaborations	p. 301
Evolution of Electronic Laboratory Notebooks	p. 303
Collaborative Tools to Accelerate Neglected Disease Research: Open Source Drug Discovery Model	p. 321
Pioneering Use of the Cloud for Development of Collaborative Drug Discovery (CDD) Database	p. 335
Chemspider: a Platform for Crowdsourced Collaboration to Curate Data Derived From Public Compound Databases	p. 363
Collaborative-Based Bioinformatics Applications	p. 387
Collaborative Cheminformatics Applications	p. 399
The Future of Collaborations	p. 423
Collaboration Using Open Notebook Science in Academia	p. 425
Collaboration and the Semantic Web	p. 453
Collaborative Visual Analytics Environment for Imaging Genetics	p. 467
Current and Future Challenges for Collaborative Computational Technologies for the Life Sciences	p. 491
Index	p. 519
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