Collaborative Computational Technologies for Biomedical Research

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.

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.