1988
S. Kirubakaran et al. / Bioorg. Med. Chem. Lett. 22 (2012) 1985–1988
Supplementary data
Table 4
Antiparasitic activity of selected compounds
Supplementary data associated with this article can be found, in
a
Compound
T. gondii model
EC50 M)
C. parvum modelb
(l
Selectivity
Toxo/WT
>23
Toxo/CpIMPDH
EC50 (lM)
References and notes
C64
C84
C90
C91
C97
0.3 0.1
0.7 0.3
0.6 0.1
0.3 0.2
0.5 0.4
>73
5
9
9
30
0.7 0.2c
1.7 0.8c
0.9 0.5
n.d.
1. Fayer, R. Vet. Parasitol. 2004, 126, 37.
3
5
2
1
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2.7 0.9c
17
9
<0.8d
All values are the average of three independent trials unless otherwise stated.
T. gondii model.12 Toxo/WT, strain with endogenous IMPDH; Toxo/CpIMPDH,
a
strain that depends on CpIMPDH. Selectivity = EC50(Toxo/WT)/EC50(Toxo/
CpIMPDH).
b
C. parvum in vitro infection model.
Two determinations.
Average growth inhibition 80 10% at 0.8 lM.
c
d
displayed sub-micromolar activity against T. gondii/CpIMPDH
(Table 4). C64 and C97 displayed selectivity P30 versus the
wild-type strain, strongly indicating that antiparasitic activity re-
sults from the inhibition of CpIMPDH.
Compounds C64, C84, C90 and C97 were also tested in an in vitro
model of C. parvum infection.12 Importantly, all four compounds are
approximately two orders of magnitude more potent than paromo-
mycin, the standard control for anticryptosporidial activity (litera-
13. Protein data base (PDB) file 3KHJ was used to generate a model for the protein
bearing the missing side chains, loops and hydrogen atoms. The loop positions
were refined using PRIME, IMP and C64 were modeled and the overall
structure was minimized. GLIDE (Schrödinger Inc.) was used to calculate a grid
around C64 with a single positional constraint on the carbon attached to the
benzimidazole nitrogen. The grid was restricted to a size similar to C64. The
inhibitor structures were converted to 3-D coordinates, pre-processed using
ligprep to generate tautomers and ionization states at pH 2.0–7.0 and stored as
sd files. GLIDE calculations were carried out in standard precision mode with
ture paromomycin EC50 values are 65–130 l
M7,12,14–16). The
potencies of C64, C84, C90 and C97 were similar to that observed
in the T. gondii model (Table 4).
In conclusion, a SAR study of benzimidazole-based CpIMPDH
inhibitors revealed that variations to the aniline and to the hetero-
cycle attached to the 2-position of the benzimidazole could be al-
tered in order to increase inhibitory activity, while retaining
excellent selectivity over human IMPDH2. The benzimidazole-
based CpIMPDH inhibitors described herein could serve as useful
molecular probes for studying C. parvum and other related organ-
isms in addition to providing lead compounds for the development
of effective treatments of cryptosporidiosis.
the same single constraint. GLIDE automatically generated
a pool of
conformation for each inhibitor (ꢀ5000 each) and the best pose was chosen
based on total number of productive interactions (both Van der Walls and
electrostatic) with the protein. No water molecules were included in this
calculation. The structural overlay of the docked inhibitors showed < 1.5 Å
deviation from C64 indicating that GLIDE was able to reproduce the
conformation of the inhibitors in the active site of CpIMPDH. For FEP
calculations, DESMOND molecular dynamics engine (D.E Shaw Research and
Schrödinger Inc.) with the OPLS2005 force field was used. In the current setup,
a 22-window scheme was adopted for both A (WT) and B (B) states to achieve
reasonably high accuracy. A simulation production time of 44 ns (2 ns ꢂ 22
windows) was used for all the calculations and the jobs were run on an in-
house 24 node 3.4 GHz Beowulf cluster. Inhibitor C (IC50 = 1200 nM) was used
as the initial structure (k = 0) to generate other structure in the series using
alchemical FEP mutations.
Acknowledgments
This work was supported by funding from the National Institute
of Allergy and Infectious Diseases (U01AI075466) to L.H. G.D.C.
thanks the New England Regional Center of Excellence for Biode-
fense and Emerging Infectious Diseases (NERCE/BEID), and the
Harvard NeuroDiscovery Center for financial support. B.S. is a
Georgia Research Alliance Distinguished Investigator. IC50 data
for these compounds are maintained using ChemAxon, http://
14. Perkins, M. E.; Wu, T. W.; Le Blancq, S. M. Antimicrob. Agents Chemother. 1998,
42, 843.
15. Woods, K. M.; Nesterenko, M. V.; Upton, S. J. FEMS Microbiol. Lett. 1995, 128, 89.
16. You, X.; Arrowood, M. J.; Lejkowski, M.; Xie, L.; Schinazi, R. F.; Mead, J. R. FEMS
Microbiol. Lett. 1996, 136, 251.