A R T I C L E S
Moulin et al.
Figure 2. Wire-frame representation of radicicol’s three main conformers
and their relative energies (kcal).
site.10-12 Attesting to the potential of HSP90 inhibition for
chemotherapy, a derivative of geldanamycin [17AAG (3), Figure
1] is currently under clinical evaluation.13 While radicicol is
the most potent inhibitor of HSP90, it lacks activity in vivo
presumably due to metabolic instability. It has been shown that
thiols such as DTT can inactivate the action of radicicol.14 This
result has been attributed to a 1,6-Michael addition to the
conjugate diene yielding an inactive product.15 Importantly,
converting the ketone to an oxime affords products that retain
acitivity in vivo by reducing the electrophilicity of the Michael
acceptor.15,16 These compounds were found to be effective
against oncogenic mouse xenograft. Additionally, Danishefsky
and co-workers have reported a series of analogues where the
epoxide has been replaced by a more resistant cyclopropane
and showed that these compounds are active in vitro.17,18 These
results have raised the possibility that radicicol can be modified
to yield a therapeutic agent. However, in the design of modified
inhibitors, one concern has been that many apparently similar
compounds have different affinities. Herein, we report a
molecular dynamics study that addresses this question by
determining the conformational landscape of putative inhibitors
(including radicicol) and use the results to design simplified
analogues based on conformational similarity to radicicol, which
were then synthesized and tested experimentally.
Figure 3. Structures of selected radicicol analogues.
several reported analogues (Figure 3) were analyzed. Each
molecule was simulated by molecular dynamics with the Merck
Molecular Force Field (MMFF94)19-23 in the CHARMM24
program. A dielectric constant of 80 was used to simulate the
effect of solvent in a simple way. The simulations were carried
out at 1000 K during 1 ns and 500 frames were extracted from
the trajectory at 20 ps intervals. The high temperature was used
to ensure that conformational energy barriers were crossed. Each
frame was minimized by 750 steps of the steepest descent (SD)
algorithm in CHARM, and the MMFF energy was calculated.
The resulting 500 conformations were clustered to determine
the main conformations. Starting from the lowest energy
conformation as representative of the first cluster, all conforma-
tions having a root-mean-square deviation (RMSD) lower than
1 Å were grouped into that cluster. The lowest energy conformer
of the remaining conformations was taken as the starting point
for the second cluster, and the process was repeated until all
compounds had been clustered. The RMSD between the lowest
energy representative of each cluster and the bioactive confor-
mation of radicicol in the cocrystal structure6 was then calculated
for all heavy atoms. This analysis led to the identification of
three main conformations: an L-shape conformation, which is
the bioactive conformation of radicicol, an essentially planar
(P-shape) conformation, and an L′-shape conformation that
mainly differs from the L-shape one by the fact that the
macrocycle is positioned on the opposite side of the aromatic
cycle (Figure 2). The calculated L-shape, P-shape, and L′-shape
conformations of the isolated molecules have an average RMSD
from the bioactive radicicol conformation of about 0.6, 1.8, and
2.1 Å, respectively (the bioactive radicicol conformation was
taken from the PDB structure ID 1BGQ).6 Importantly, the
Results and Discussion
Molecular Dynamics Analysis of Radicicol and Potential
Analogues. To evaluate the conformation-activity relationship
of radicicol, its conformational profile (Figure 2) and that of
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7000 J. AM. CHEM. SOC. VOL. 127, NO. 19, 2005