Collaborative Computational Technologies for Biomedical Research / Wiley Series on Technologies for the Pharmaceutical (PDF)
(Sprache: Englisch)
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...
"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...
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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.
"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.
Autoren-Porträt
SEAN EKINS, MSc, PhD, DSc, is the Principal atCollaborations 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
presubmission 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, crowdsourcing, and database curation. He is
an active blogger and participant in the Internet chemistry
network.
Bibliographische Angaben
- 2011, 1. Auflage, 576 Seiten, Englisch
- Herausgegeben: Sean Ekins, Maggie A. Z. Hupcey, Antony J. Williams
- Verlag: John Wiley & Sons
- ISBN-10: 1118026012
- ISBN-13: 9781118026014
- Erscheinungsdatum: 18.04.2011
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