Biomedical Engineering Reference
In-Depth Information
Figure 21.7
Example of using the plot function in CDD with a hERG data set (log
IC
50
vs. log
P
data calculated with ChemAxon tools). Browsing over plot points shows
molecule image and data.
settings, a subscription fee is charged. Therefore CDD provides data sets of
interest to the scientifi c community for free while providing a comprehensive
database tool for those who want to use a sophisticated and secure data
storage and sharing environment. This in itself may represent a unique
approach to collaborative drug discovery.
21.4
IMPACT ON NEGLECTED DISEASES
The CDD platform supports the full range of collaborations and the current
community includes leading researchers working on neglected, developing
world infectious diseases like malaria [33-35],
Mycobacterium tuberculosis
(Mtb) [36], Chagas disease [37], leishmaniasis [38], African sleeping sickness
[39], and others as well as drug discovery projects on more commercial targets
of interest to big pharma. Initially we have focused on the neglected disease
community as an increase in the amount and depth of collaboration would
speed the progress of research and help prevent premature deaths due to these
diseases. There is relatively little funding for neglected disease research, so
researchers must collaborate to achieve the level of effi ciency and cost effec-
tiveness required to rapidly produce new therapies. There are currently numer-
ous pharmaceutical companies that are involved in neglected disease research,
including Pfi zer, Eli Lilly, Novartis, Glaxo Smith Kline (GSK), J&J, and so on,
working in collaboration with academics or biotechs, and for any of them to
use such a tool the technology has needed to undergo rigorous evaluation.
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