X.-Q. Yan et al. / Bioorg. Med. Chem. Lett. xxx (2015) xxx–xxx
7
Table 5
The Experimental and predicted inhibitory activity of compounds (3a–3y) by
3D-QSAR models based upon active conformation achieved by molecular docking
Compoundsa
MMP-2
Predicted pIC50
Residual error
Actual pIC50
3a
3b
3c
3d
5.10
5.54
5.07
5.49
5.32
5.09
5.54
5.04
5.54
5.08
0.01
0.00
0.03
ꢀ0.05
0.24
3e
3f
3g
4.95
5.03
5.17
4.88
5.00
5.28
0.07
0.03
ꢀ0.11
3h
3i
6.68
5.38
6.71
5.39
ꢀ0.03
ꢀ0.01
3j
3k
3l
6.10
5.57
4.90
5.83
5.50
5.08
0.27
0.07
ꢀ0.18
3m
3n
4.94
4.83
4.96
5.27
ꢀ0.02
ꢀ0.44
3o
3q
3p
3r
3s
3t
3u
3v
3w
3x
3y
5.68
5.42
4.62
4.75
4.81
5.55
5.00
4.83
4.77
5.44
5.67
5.46
4.65
4.72
4.91
5.54
4.97
4.81
4.87
5.38
0.01
ꢀ0.04
ꢀ0.03
0.03
Figure 9. Comparing the predicted pIC50 value about MMP-2 inhibitory activities
with that of the experiment by linear fitting curve.
ꢀ0.10
0.01
model possessed pretty good predicting capability. The relation-
ship between observed and predicted values had been shown
graphically in Figure 9.
0.03
0.02
ꢀ0.10
0.06
Also the molecules aligned with the iso-surfaces of the 3D-QSAR
model coefficients on electrostatic potential grids Figure 10(a) and
Van der Waals grids Figure 10(b) were listed. Electrostatic map
were depicted below to display the favorable (in blue) or unfavor-
able (in red) electrostatic field region in a contour plot, while the
energy grids corresponding to the favorable (in green) or unfavor-
able (in yellow) steric effects were also marked out. For com-
pounds based on the 3D-QSAR model, possessing strong Van der
Waals attraction in the green areas and a polar group in the blue
electrostatic potential areas mean achieving potent bioactivity.
This model was accordant with the actual situation for compounds.
Accordingly, this promising model would provide a guideline to
design and optimize more effective tubulin inhibitors and pave
the way for us in the further study.
In summary, novel series of sulfonamide derivatives including
dihydropyrazole moieties (3a–3y) had been evaluated for anti-
cancer activities against MCF-7, HeLa, A549, HepG2 cell lines
and MMP-2/MMP-9 inhibitory activities. These compounds
showed a very interesting profile for the inhibition of MMP-2/
MMP-9, which mostly exhibited potent anticancer and MMP-2/
MMP-9 inhibitory activities, with IC50 ranging from 1.90 to
a
The underlined for the test set, and the rest for training.
Leu397, Leu418 and His401, were of significance in the binding of
ligand with enzyme of 2OVX. Moreover, the Leu397 formed two
hydrogen bonds with 3i (angle Oꢁ ꢁ ꢁH–N = 132.7°, distance = 2.5 Å,
angle Oꢁ ꢁ ꢁH–N = 92.5°, distance = 4.2 Å). Furthermore, compound
3i was also bonded with Leu418 by a hydrogen (angle Oꢁ ꢁ ꢁH–
N = 112.4°, distance = 2.2 Å) and His401 by a Pi bond. As exhibited
in Figure 8, there was also a ATP binding site of a coordinate bond
between zinc cation and nitrogen atoms (distance = 2.3 Å). Accord-
ing to the above, these molecular docking results along with the
biological assay data suggested that compound 3i might be a
potential inhibitor of the MMP-2.
In order to obtain the systematic SAR profile on sulfonamide
derivatives containing dihydropyrazole moieties (3a–3y) as antitu-
mor agents and explore the more powerful and selective inhibitors
of MMP-2, 3D-QASR models37 were built according to the com-
pounds synthesized and their corresponding capability. By this
effort, we intended to explain the mechanism of the SAR and cast
a light on the discovery of more potent novel antagonist of
MMP-2. This model was performed by built-in QSAR software of
DS 3.5 with all the molecular converted to the active conformation
50.61 lM, 0.21 to 23.82 lM and 1.87 to 33.75 lM, respectively.
Moremore, most of them showed almost no toxicity towards
293T. Among them, compound 3i exhibited the most potent
MMP-2/MMP-9 inhibition activities (IC50,MMP-2 = 0.21
lM, IC50,
and corresponding pIC50
(lM) values, which were converted from
MMP-9 = 1.87 M). Besides, the probable binding models and poses
l
the obtained IC50 M) values of MMP-2 inhibition. These com-
(l
were obtained by docking simulation. Analysing the binding
model of compounds 3i with MMP-2, there were a hydrogen
bond, a p-cation interaction with the protein residues and a coor-
pounds were divided into a test set composing 20 agents and a rel-
ative training set including 5 agents by the random, which had
been presented in Table 5.
dinate bonds with Zinc Ion in the ATP binding site, which might
play a crucial role in its MMP-2 inhibition and antiproliferative
activities. Furthermore, three hydrogen bonds, a Pi bond and a
coordinate bonds with Zinc Ion formed the major acting force in
the binding model of compounds 3i with MMP-9. Last but not
least, 3D-QASR models were built with previous activity data
and binding conformations to begin our work in this paper as well
as to provide a reliable tool for reasonable design and synthesis of
potent MMP-2 inhibitors.
By default, the alignment conformation of each molecule pos-
sessed the lowest CDOCKER_INTERACTION_ENENGY among all of
the docked poses. The critical regions (steric or electrostatic)
affecting the binding affinity was gained by this 3D-QSAR model.
Exerting CHARMM force filed and PLS regression, the model was
set up with the correlation coefficient R2 is 0.922, and the leave-
one-out cross validation coefficient q2 is 0.469. Besides, the RMS
error, the mean absolute error, R2
and F are 0.249, 0.214,
pred
0.834 and 101.916, respectively. These details indicated that this