PIONEERING USE OF THE CLOUD FOR DEVELOPMENT OF COLLABORATIVE DRUG DISCOVERY ( CDD ) DATABASE - Collaborative Computational Technologies for Biomedical Research - page 357

Collaborative R&D is undoubtedly the future of biomedical research and
will require computational tools similar to CDD (and perhaps beyond) which
are provided on the cloud. There is certainly plenty of opportunity and com-
petition in the fi eld that will likely result in some consolidation opportunities.
One could also envisage that systems biology software tools (many of which
are already cloud based) and pure bioinformatics software (e.g., NextBio) start
to move more in the direction of chemistry databases, allowing different modes
of data sharing, much as CDD has pioneered. It will also be important that
such software be fully functional on any kind of device, for example, mobile
phone, tablet, or other newer hardware from different manufacturers.
ACKNOWLEDGMENTS
The authors gratefully acknowledge our colleagues Justin Bradford, Krishna Dole,
Anna Spektor, Kellan Gregory, David Blondeau, Sylvia Ernst, Orion Jankowski, David
Ephron, Alph Bingham, Tony Williams (RSC), Chris Waller (Pfi zer), Eric Gifford
(Pfi zer), and Rishi Gupta (Pfi zer) as well as Dr. Chris Lipinski and the many research-
ers in the CDD community.
The CDD TB database is funded by the Bill and Melinda Gates Foundation (Grant
No.49852, “Collaborative Drug Discovery for TB Through a Novel Database of SAR
Data Optimized to Promote Data Archiving and Sharing”).
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