Journal of Medicinal Chemistry
Article
1
3127, 2973, 1654, 1598. H NMR (DMSO-d6) (δ ppm): 12.77 (bs,
and the experimentally determined antitumor activities against MCF-7,
SW620, HCT116, H460, and MOLT-4 cell lines. From the 23
synthesized compounds whose antitumor activities are presented in
this paper, 20 of them were used for building the 3D-derived QSAR
models. Besides, the 3D QSAR models were built considering only 17
(very) active compounds as well as a large set of 30 compounds, 20
from this publication and 10 from previous publications. Compounds
5a and 9c were shown to be outliers in all models and therefore were
excluded from the data set. Compound 19 was synthesized and
analyzed afterward and was used for the external validation of the
derived models. Negative logarithmic values of concentrations that
cause 50% growth inhibition of the cell lines (pIC50) were used as a
measure of biological activity in the 3D-derived QSAR models. For the
poorly active compounds whose IC50 values were not explicitly
measured but just estimated as >10 or ≥10, pIC50 was set to 4.301.
For each compound, the 3D structure was generated using the
VolSurf+ program17 and molecular interaction fields (MIFs) were
calculated by the program GRID.19 Grid spacing was set to 0.5 Å, and
the following probes were used: H2O (the water molecule), O (sp2
carbonyl oxygen atom), N1 (neutral NH group (e.g., amide)), and
DRY (the hydrophobic probe). From the MIFs, VolSurf+ derived a
series of 128 descriptors (independent of molecular alignment) that
refer to molecular size and shape, to hydrophilic and hydrophobic
regions and to the balance between them, to the “charge state”, to
lipophilicity, to molecular diffusion, to log P, to log D, to the presence/
distribution of pharmacophoric groups, and to some other relevant
ADME properties. The definition of all 128 VolSurf+ descriptors is
given in the VolSurf+ manual. The 3D-derived QSAR models were
derived for the raw data (models labeled as B, D, and F) as well as for
the autoscaled ones (models labeled as A, C, and E). By the
autoscaling pretreatment, every variable is the mean centered and
scaled to give unit variance. Models A, B, C, and D were derived for
compounds from the present study, the first two for the 20-object data
set and the last two for the 17-objects data set. Models E and F were
derived for 30-object data set comprising 20 compounds from the
present study and 10 compounds from previous studies.7,9 Models for
different cel lines are distinguished by numbers 1−5 (MCF-7,
HCT116, SW620, H460, MOLT-4). The 3D-derived QSAR models,
i.e., the relationship between the 3D structure-based molecular
descriptors and measured antitumor activity, were determined using
the partial least square (PLS) analysis. The number of significant latent
variables (nLV) and quality of the models were determined using the
leave-one-out (LOO) cross-validation procedures. Standard deviation
of error of calculation (SDEC) and standard deviation of error of
prediction (SDEP) were calculated for each model.
In order to identify the descriptors with the highest (positive or
negative) impact on biological activity of the compounds, PLS
coefficients were analyzed for the 3D-derived QSAR models built
using autoscaling (models 1A, 2A, 3A, 4A) pretreatment.
Principal component analysis (PCA) was performed in order to
determine the distribution of the compounds in the space of the
molecular descriptors and with an attempt to find an explanation for
the outliers 5a and 9c. Usefulness of PCA in 3D-derived QSAR
analysis has already been proved in several cases.10,20,21
Spectroscopic Evaluation of DNA Binding. UV/Visible
Spectrometry and DNA Melting Temperature Studies. CT-DNA
and double-stranded poly(dAdT)2 oligonucleotide (Sigma Aldrich,
France) were dissolved in water and dyalized overnight prior to use.
The analyzed compounds were prepared as 10 mM stock solutions in
DMSO, aliquoted, and stored at −20 °C and then freshly diluted in
the appropriate aqueous buffer.
The various compounds were prepared at 20 μM in 1 mL of BPE
buffer (6 mM Na2HPO4, 2 mM NaH2PO4, 1 mM EDTA, pH 7.1) in
the presence or absence of increasing concentrations of CT-DNA or
poly(dAdT)2 (from 10 to 100 μM with 10 μM steps and then from
100 to 200 μM with steps of 20 μM of base pairs). The UV/visible
spectra were recorded from 230 to 430 nm in a quartz cuvette of 10
mm path length using an Uvikon XL spectrophotometer and
referenced against a cuvette containing DNA at identical concen-
tration. The Tm values were obtained from the midpoint of the
1H, NHquinolone), 10.90 (bs, 4H, NHamidine), 9.49 (d, 1H, J = 8.6 Hz,
Harom), 9.17 (s, 1H, Harom), 8.94 (s, 1H, Harom), 8.30 (d, 1H, J = 8.3
Hz, Harom), 8.18 (d, 1H, J = 8.6 Hz, Harom), 7.79 (d, 1H, J = 8.6 Hz,
Harom), 4.10 (d, 8H, J = 4.0 Hz, CH2imidazolyl). 13C NMR (DMSO-d6)
(δ ppm): 164.9 (s), 164.8 (s), 158.1 (s), 142.2 (s), 141.5 (s), 135.2
(s), 129.3 (d), 127.8 (d), 125.6 (d), 125.0 (d), 121.9 (d), 121.5 (s),
118.1 (d), 117.6 (s), 117.4 (s), 116.8 (s), 45.1 (t, 2C), 44.9 (t, 2C).
2-(2-Imidazolinyl)-5-methyl-6-oxo-5,6-dihydro[1]-
benzothieno[2,3-c]quinolin-6-one Hydrocloride (11a). For the
synthesis of 11a was applied the method described for the compounds
6a−c. A mixture of compound 10a (0.15 g, 0.52 mmol) in dry ethanol
(20 mL) was saturated with HCl gas and stirred until the nitrile band
disappeared. The crude imidate was filtered off and was immediately
suspended in absolute ethanol (20 mL). Ethylenediamine (0.11 mL,
1.63 mmol) was added. The mixture was stirred at reflux for 24 h, and
0.11 g (56%) of white solid was obtained, mp >285 °C. IR ν/cm−1:
1
3210, 3101, 2973, 1649, 1618. H NMR (DMSO-d6) (δ ppm): 11.21
(bs, 2H, NHamidine), 9.27−9.23 (m, 1H, Harom), 9.18 (s, 1H, Harom),
8.41−8.29 (m, 2H, Harom), 8.04−8.00 (m, 1H, Harom), 7.76−7.72 (m,
2H, Harom), 4.09 (s, 3H, CH3), 3.87 (s, 4H, CH2imidazolyl). 13C NMR
(DMSO-d6) (δ ppm): 164.6 (s), 158.0 (s), 142.6 (s), 141.9 (s), 135.2
(s), 134.5 (s), 129.3 (d), 128.4 (d), 127.3 (d), 126.6 (d), 124.9 (d),
124.5 (d), 118.7 (s), 117.8 (d), 116.7 (s), 44.9 (t, 2C), 30.8 (q).
Antitumor Evaluation Assay. The experiments were carried out
on five human cell lines, which are derived from four cancer types. The
following cell lines were used: SW620 and HCT116 (colon
carcinoma), H460 (lung carcinoma), MCF-7 (breast carcinoma),
and MOLT-4 (T-lymphoblast leukemia). MCF-7, SW620, HCT116,
and H460 cells were cultured as monolayers and maintained in
Dulbecco’s modified Eagle's medium (DMEM), while MOLT-4 cells
were cultured in suspension in RPMI medium, both supplemented
with 10% fetal bovine serum (FBS), 2 mM L-glutamine, 100 U/mL
penicillin, and 100 μg/mL streptomycin in a humidified atmosphere
with 5% CO2 at 37 °C.
The growth inhibition activity was assessed as described
previously.7−9,11,13,14 The panel cell lines were inoculated onto a
series of standard 96-well microtiter plates on day 0 at 1 × 104 to 3 ×
104 cells/mL, depending on the doubling times of a specific cell line.
Test agents were then added in 10-fold dilutions (10−8−10−4 M) and
incubated for a further 72 h. Working dilutions were freshly prepared
on the day of testing. After 72 h of incubation the cell growth rate was
evaluated by performing the MTT assay, which detects dehydrogenise
activity in viable cells. The absorbance (OD, optical density) was
measured on a microplate reader at 570 nm. The absorbance is directly
proportional to the number of living, metabolically active cells. The
percentage of growth (PG) of the cell lines was calculated according to
one of the following two expressions:
If (mean ODtest − mean ODtzero) ≥ 0, then PG = 100 × (mean
ODtest − mean ODtzero)/(mean ODctrl − meanODtzero). If (mean
ODtest − mean ODtzero) < 0, then PG = 100 × (mean ODtest − mean
ODtzero)/ODtzero, where the mean ODtzero is the average of optical
density measurements before exposure of cells to the test compound,
the mean ODtest is the average of optical density measurements after
the desired period of time, and the mean ODctrl is the average of
optical density measurements after the desired period of time with no
exposure of cells to the test compound.
Each test was performed in quadruplicate in at least two individual
experiments. The results are expressed as IC50, which is the
concentration necessary for 50% of inhibition. The IC50 values for
each compound are calculated from concentration−response curves
using linear regression analysis by fitting the test concentrations that
give PG values above and below the reference value (i.e., 50%). If,
however, for a given cell line all of the tested concentrations produce
PGs exceeding the respective reference level of effect (e.g., PG value of
50), then the highest tested concentration is assigned as the default
value, which is preceded by a “>” sign. Each result is a mean value of
three separate experiments.
Computational Analysis. The 3D-derived QSAR models were
derived using the Volsurf+ program17 generated molecular descriptors
5058
dx.doi.org/10.1021/jm300505h | J. Med. Chem. 2012, 55, 5044−5060