Paper
Organic & Biomolecular Chemistry
with other commonly used virtual screening libraries. Thus we
calculated the descriptors c log P, rotatable bonds, molecular
weight, and other drug-like properties from a randomly gene-
rated library of 1000 compounds based on all four scaffolds
(ESI Fig. 1–8†). The majority of these compounds pass at least
3 out of 4 of Lipinski’s rules of five; most of them, however,
only fail the molecular weight rule. Interestingly the two later
scaffolds (11 and 13) possess a low number of rotatable bonds
and are highly stiff, increasing their chance of oral bio-avail-
ability. We were especially interested in the recently introduced
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shape descriptor principal moment-of-inertia (PMI) as
a
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means to differentiate scaffolds based on shape.14 These
libraries were compared to 1000 randomly selected com-
pounds from the Zinc database15 and each library was found
to possess more 3D characteristics than the zinc compounds
(Fig. 4). As protein–protein interactions become an increas-
ingly popular yet difficult target for pharmaceutical compa-
nies, novel chemical space needs to be explored.16 With novel
scaffolds that possess more 3D features, the chances to suc-
cessfully probe previously unmet medical needs greatly
increase. Biological activities of compounds based on the new
scaffolds will be reported in due course.
Acknowledgements
This work was supported partially by grants from
NIH
(1R21GM087617-01A1,
1P41GM094055-01,
and
1R01GM09708201). KK acknowledges the ACS Medicinal
Chemistry predoctoral fellowship (2011–2012).
11 R. Bossio, C. F. Marcos, S. Marcaccini and R. Pepino, Syn-
thesis, 1997, 1389–1390.
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M. Helliwell, N. J. Turner, E. Ruijter and R. V. A. Orru,
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