"The molecular design
community is under constant pressure to find new ways to get more
information out of their data. It is at least as important, however, to
figure out how the tools already available can best be used. I have
done both in the past through productive collaborations, and hope to
continue doing so through this new organization. My intention in
setting up Biochemical Infometrics is to combine original research with
real-world consulting applications. I believe that doing so will
benefit the medchem and modelling communities both."
- Bob Clark, Founder &
Lead Scientist
If you find yourself in need of
strategic
investment advice,
molecular
triage,
computational chemistry
validation
work, or molecular modeling support (
to
test the waters
or to
fill a temporary vacancy),
please contact
Bob
Clark by e-mail (bclark
at bcmetrics.com) or by surface
mail at
Biochemical Infometrics, 827 Renee Lane, St. Louis MO
63141 USA. We
would also be happy to arrange for a
visit to discuss your particular needs &or recent progress in the
fields of drug design and computational chemistry. Or perhaps you would
care to experience our
spring ACS offering,
"
At what point does docking morph into 3D QSAR?"
Whatever
the context, we will likely be able to provide a fresh perspective on
your situation. That, in turn, is apt to make it possible for you
to move beyond
what
you are
looking for and get a handle on what you
need.
Consensus
scoring and
optimizable
k-dissimilarity selection both came out of such a strategic
clarification process. In the latter case, the original plan was
to cluster
large
sets hierarchically, then select examples from each cluster. We
ended
up developing a way to generate diverse representative selection sets
with the desired properties without having to do the clustering at all.
The company can draw upon the full range of
Tripos and
OpenEye software offerings address
your needs, as well as years of
research
experience to guide us in using them effectively.