400
N. Rodrigues et al. / European Journal of Medicinal Chemistry 75 (2014) 391e402
4.1.4. Cinnamyl 2-cyanoacetate 8a
peritoneal cavity of the animal. This activates nociceptors directly
and/or produces inflamed viscera (subdiaphragmatic organs) and
subcutaneous (muscle wall) of tissues [9]. The number of induced
abdominal writhes was determined during 20 min after the in-
jection of acetic acid. The inhibition of abdominal writhes (anal-
gesic effect) is determined by comparing the number of cramps
induced in the presence and absence of compound. Additional dose
response was performed for compound 2 (CDC) at the following
doses: 2.5, 5 and 10 mg/kg (s.c.).
To a solution of commercially available cyanoacetic acid 7a
(157.6 mg, 1.85 mmol, 1.1 eq) and cinnamyl alcohol 6a (192.07 mg,
1.43 mmol, 1 eq) in anhydrous DCM (8 mL) under Ar at 0 ꢄC were
added DCC (383 mg, 1.85 mmol, 1.1 eq) and DMAP (cat.). The re-
action mixture was stirred for 4 h at 0 ꢄC. The precipitate was
filtered and the filtrate was concentrated under reduced pressure.
Chromatographic purification of the residue (SiO2, 50% EtOAc/
cyclohexane) gave the ester 8a as a yellow liquid (296.7 mg, 98%).
Rf ¼ 0.5 (SiO2, 30% EtOAc/cyclohexane). 1H NMR (400 MHz, CDCl3)
d
7.40e7.30 (m, 5H), 6.68 (d, J ¼ 14.8 Hz, 1H), 6.27 (dt, J ¼ 15.9,
4.2.2. Electrophysiology
6.7 Hz, 1H), 4.66 (dd, J ¼ 6.8, 1.0 Hz, 2H), 3.49 (s, 2H). 13C NMR
Xenopus oocytes deprived of their follicular cells are injected
with 50 ng cRNA encoding TREK-1 channel [25]. Eighteen to 24 h
after injection, TREK-1 currents are recorded by the technique of
the two-microelectrode voltage-clamp technique. In a perfusion
chamber of 0.3 mL, the oocyte is impaled with two microelectrodes
standards (1e2.5 M resistance) filled with 3 M KCl solution and
maintained at a voltage clamp with a Dagan TEV 200 amplifier in a
solution standard ND96 (96 mM NaCl, 2 mM KCl, 1.8 mM CaCl2,
2 mM MgCl2, 5 mM HEPES, pH 7.4 with NaOH). Then a solution of
(101 MHz, CDCl3)
113.1, 67.4, 24.8.
d 162.9, 135.9, 135.7, 128.7, 128.5, 126.8, 121.4,
4.1.5. (E)-3-(3,4-Diacetoxyphenyl)acrylic acid 10b
To a cold solution of caffeic acid 10a (460 mg, 2.55 mmol, 1 eq)
and DMAP (7.78 mg, 0.055 mmol, 0.025 eq) in pyridine (1.10 mL)
was added acetic anhydride (603 mL, 6.38 mmol, 2.5 eq) under Ar.
The mixture was stirred at room temperature for 2 h and poured
over crushed ice. The solution was acidified (pH < 2) and extracted
with EtOAc (3 ꢃ 10 mL). The combined extracts were dried (Na2SO4)
and concentrated under reduced pressure. Acid 10b was obtained
as a white powder (629.7 mg, 93%). Mp 206 ꢄC. Rf ¼ 0.43 (SiO2, 80%
compound [20
mM, compounds were dissolved in DMSO then
diluted in extracellular recording solution (The DMSO concentra-
tion in this solution having to be kept below 5%, some compounds
were not soluble at concentrations exceeding 10 mM)] is perfused
for 15 min, followed by rinsing with ND96 for 6 min. Stimulation of
the preparation, data acquisition and analysis were performed us-
ing pClamp software.
EtOAc/cyclohexane). 1H NMR (400 MHz, DMSO-d6)
d 12.50 (br s,
1H), 7.30 (m, 3H), 7.31 (d, J ¼ 14.0 Hz, 1H), 6.50 (d, J ¼ 14.0 Hz, 1H),
2.31 (s, 3H), 2.29 (s, 3H). The NMR data are in agreement with the
literature [31].
4.3. Molecular modeling
4.1.6. (E)-4-(3-Oxo-3-phenethoxyprop-1-enyl)-1,2-phenylene
diacetate 11a
4.3.1. Pharmacophore modeling
To a suspension of diacetylcaffeic acid 10b (151 mg, 0.572 mmol,
3 eq) in anhydrous toluene (3 mL) were sequentially added 2-
Pharmacophore modeling was carried out using PHASE [28,29]
running on Red Hat Linux WS 3.0. A set of 15 novel analogs with
determined bioactivity (Table 3) was taken for the development of
ligand-based pharmacophore hypothesis and atom-based 3D-QSAR
model. The logarithm of the measured RTREK-1 [pRTREK-1 ¼ Log
(RTREK-1)] was used in this study. These 15 compounds were divided
into a training set (10 compounds) and a test set (5 compounds).
The training set molecules were selected in such a way that they
contained information in terms of both their structural features and
biological activity ranges. In order to assess the predictive power of
the model, a set of 5 compounds was arbitrarily set aside as the test
set. The test compounds were selected in such a way that they truly
represent the training set.
phenylethanol 6b (23.6
mL, 0.197 mmol, 1 eq), DCC (113.8 mg,
0.551 mmol, 2.8 eq) and DMAP (24.1 mg, 0.197 mmol, 1 eq) under
Ar. The reaction mixture was heated at 90 ꢄC for 3 h and diluted
with EtOAc (10 mL). The mixture was washed with saturated
aqueous NaHCO3 (10 mL) and brine (10 mL). After drying (Na2SO4)
and concentration under reduced pressure, the residue was puri-
fied by flash chromatography (SiO2, 30% EtOAc/cyclohexane) to
afford yellow oil (36.7 mg, 51%). Rf ¼ 0.46 (40% EtOAc/cyclohexane).
1H NMR (400 MHz, CDCl3):
d
7.60 (d, J ¼ 15.0 Hz, 1H), 7.40 (dd,
J ¼ 10.0, 2.0 Hz, 1H), 7.35e7.25 (m, 5H), 7.25 (d, J ¼ 2.0 Hz, 1H), 7.20
(d, J ¼ 8.0 Hz, 1H), 6.30 (d, J ¼ 15.0 Hz, 1H), 4.35 (t, J ¼ 7.0 Hz, 2H),
2.90 (t, J ¼ 7.0 Hz, 2H), 2.80 (s, 6H). 13C NMR (101 MHz, CDCl3):
d
168.2, 168.1, 166.6, 143.0, 142.5, 137.9, 133.4, 129.0, 128.6, 126.7,
4.3.2. Generation of common pharmacophore hypothesis (CPH)
The common pharmacophore hypothesis (CPH) was carried out
by PHASE. All molecules were built in Maestro. All ligands were
prepared using LigPrep with the OPLS_2005 force field. Confor-
mational space was explored through combination of Monte-Carlo
Multiple Minimum (MCMM)/Low Mode (LMOD) with maximum
number of conformers 1000 per structure and minimization steps
100. Each minimized conformer was filtered through a relative
126.5, 124.0, 122.8, 119.3, 62.3, 35.3, 20.8, 20.7.
4.2. Biological assays
4.2.1. Acetic acid writhing assay
All experiments were performed on 20e24 g male CD1 mice
(Janvier, France). All mice were housed in grouped cages in a
temperature-controlled environment with food and water ad libi-
tum. The behavioral experiments were performed blind to the
treatment, in a quiet room, by the same experimenter taking great
care to avoid or minimize discomfort of the animals. Animals were
randomly divided in groups of 8 mice each and each animal was
used only once per compound and euthanized. All animal pro-
cedures were approved by the local Animal Ethics Committee and
experiments were performed according to the guidelines provided
by the European Community guiding in the care and use of animals
(86/609/CEE). Animals were pretreated with the compound
(10 mg/kg, s.c.) or vehicle (5% Tween 80 in saline (0.9%)) 15 min
before injection of acetic acid (0.6% solution, 10 mL/kg) into the
ꢀ
energy window of 50 kJ/mol and redundancy check of 2 A in the
heavy atom positions. Common pharmacophoric features were
then identified from a set of variants (a set of feature types that
define a possible pharmacophore) using a tree-based partitioning
algorithm with maximum tree depth of four with the requirement
that all actives must match. After applying default feature defini-
tions to each ligand (Table 3), common pharmacophores containing
ꢀ
three to six sites were generated using a terminal box of 1 A. Scoring
of pharmacophore with respect to activity of ligand was conducted
using default parameters for site, vector and volume terms. In
atom-based QSAR, a molecule is treated as a set of overlapping van
der Waals spheres. Each atom (and hence each sphere) is placed