PPARγ Partial Agonists
Journal of Medicinal Chemistry, 2008, Vol. 51, No. 24 7775
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the standard amino acids. General AMBER force field (GAFF)
parameters were assigned to ligands, while the partial charges were
calculated using the AM1-BCC method as implemented in the
ANTECHAMBER suite of AMBER.
Molecular Dynamics (MD) simulations of PPARγ/(S)-1 and
PPARR/(S)-1 were carried out in aqueous solution according to
the following protocol.
The complexes were put at the center of a box of 7.2 × 7.6 ×
7.6 nm3 volume. As starting structures, we considered the complex
formed by docking (S)-1 into the PPARR-LBD, and the crystal
complex of PPARγ/(S)-1. The box was then filled with 11 476
Single Point Charges37 water molecules to reproduce the typical
liquid density. The electrical neutrality of the systems was ensured
by adding the proper number of positive (Na+) counterions, i.e.,
seven for PPARγ/(S)-1 and two for PPARR/(S)-1. The same
conditions were applied for simulating apo-PPARγ and apo-
PPARR. All the simulations were initiated with a steepest descent
optimization and solvent relaxation. Subsequently, a slow heating
from 10 to 300 K was performed using short simulations of 50.0
ps. The simulations were then propagated for 13 ns in a NVT
ensemble using an integration step of 2.0 fs with the rototransla-
tional constraint applied to the solute.38 The temperature was kept
constant by the isokinetic temperature coupling,39 and all bond
lengths were constrained by adopting the LINCS algorithm.40 Long
range electrostatics was computed by the particle mesh Ewald
(PME) method,41 with 34 wave vectors in each dimension and a
fourth-order cubic interpolation. The Gromos force field42 was used
for the protein, at neutral pH, and for (S)-1. The point charges of
the latter were calculated with a standard fitting scheme43 carried
out on density functional theory calculations using the Becke3LYP
functional44 with 6-311+g(d) basis set using the Gaussian 03
package.45 The Gromacs software46 was employed for all the MD
runs.
(19) Shi, G. Q.; Dropinski, J. F.; McKeever, B. M.; Xu, S.; Becker, J. W.;
Berger, J. P.; MacNaul, K. L.; Elbrecht, A.; Zhou, G.; Doebber, T. W.;
Wang, P.; Chao, Y. S.; Forrest, M.; Heck, J. V.; Moller, D. E.; Jones,
A. B. Design and synthesis of alpha-aryloxyphenylacetic acid deriva-
tives: a novel class of PPARalpha/gamma dual agonists with potent
antihyperglycemic and lipid modulating activity. J. Med. Chem. 2005,
48 (13), 4457–4468.
Statistical evaluations on selected observables were calculated
by dividing the trajectory in two subparts and reporting the
semidispersion around the average value.
(20) Lu, I. L.; Huang, C. F.; Peng, Y. H.; Lin, Y. T.; Hsieh, H. P.; Chen,
C. T.; Lien, T. W.; Lee, H. J.; Mahindroo, N.; Prakash, E.; Yueh, A.;
Chen, H. Y.; Goparaju, C. M.; Chen, X.; Liao, C. C.; Chao, Y. S.;
Hsu, J. T.; Wu, S. Y. Structure-based drug design of a novel family
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(22) Nettles, K. W.; Sun, J.; Radek, J. T.; Sheng, S.; Rodriguez, A. L.;
Katzenellenbogen, J. A.; Katzenellenbogen, B. S.; Greene, G. L.
Allosteric control of ligand selectivity between estrogen receptors alpha
and beta: implications for other nuclear receptors. Mol. Cell 2004, 13
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Acknowledgment. The authors acknowledge CASPUR
(Roma) for the use of Gaussian 03.
Supporting Information Available: X-ray and molecular
dynamics data. This material is available free of charge via the
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