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BUDAMA‐KILINC ET AL.
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ND3. Phosphate buffer (PBS) at pH 7.4 was used as the release
medium. In vitro release study was performed at time intervals 0, 0.5,
1, 2, 3, 4, 5, 6, 7, 8, 24, 48, 72, 96, 120 and 144 hr. Incubation of
samples was achieved in a shaking water bath at 37°C under gentle
agitation. At each time intervals, a 1‐ml sample was taken from the
release medium, and fresh release medium of the same volume was
added instead. The samples were analyzed by UV–Vis spectrometer,
and the amount of ND3 released from the PCL NPs, depending on
time, was obtained by using the following equation:
Z = 40 Å with 0.375‐nm grid spacing. AutoDockVina 1.1.2 program[42]
was implemented for docking analysis that was used to define the most
favorable binding affinities and RMSD values for the synthesized com-
pound. The close interactions, binding affinities, and RMSD were calcu-
lated as a result of the study. Energy‐scoring function is used to
determine the best ligand–DNA pose. PyMol 2.2.3[43] and Auto-
DockTools1.5.6[44] programs were used to observe close interactions and
hydrogen bonding interactions.
Released ND3
Total ND3
(5)
|
4.15
Statistical analysis
Release(%) =
× 100.
|
4.13
Ames/Salmonella mutagenicity assay
For the statistical analysis of Ames/Salmonella mutagenicity assay, the
data obtained from the experimental and control groups were com-
pared using the SPSS program (version 24.0; SPSS Science, Chicago, IL).
Significant differences are indicated by a–b (p < .05, Tukey's honestly
significant difference test) among doses in the same dose column. The
p < .05 was accepted as significant in all statistical evaluations.
For statistical analysis of the cytotoxicity experiments, one‐way
analysis of variance test were used to analyze experimental groups
followed by post‐hoc Tukey multiple comparisons. A p < .05 was
considered statistically significant (Prism Version 7.0; GraphPad
Software, Inc.).
The TA98 and TA100 strains of S. typhimurium were used to determine
the frameshift and basepair change mutation of the ND3. Experiments
were performed as described by Maron and Ames.[40,41] Briefly, the
concentrations of ND3 used in the experiment were determined de-
pending on the in vitro release profile of ND3 (five different con-
centrations: 72, 78, 90, 108 and 112 µg). To ensure the reliability of the
experiment, first, it was checked whether the test strains had original
mutations. Therefore, histidine requirement, presence of R factor, rfa
mutation and uvrB mutation of the test strains were controlled before
starting the study. Before performing the experiment, a single fresh
colony of standard strains of S. typhimurium TA98 and TA100 was in-
oculated in nutrient broth and incubated for 10–12 hr at 37°C in an
incubator. Each strain of S. typhimurium was grown separately in Erlen-
meyer flasks. Autoclaved distilled water was used as a negative control,
and sodium azide (1 µg/plaque) and 4‐nitro‐o‐phenylenediamine
(10 µg/plaque) were used as positive controls for TA98 and TA100
without S9 metabolic activation. 2‐Aminofluorene (5 µg/plaque) was
prepared for TA98 and TA100 metabolic activation. For mutagenity
study, 222 µL of histidine‐biotin solution, 500 µL of sodium‐phosphate
buffer, 100 µL of sample and controls, and 100 µL of bacterial culture
were added to 2 ml top agar kept at 43°C and top agar was poured into
minimal glucose agar (MGA). Then, they were mixed gently and poured
into MGA plaque. These plaques were incubated at 37°C for 48 hr.
Spontaneous revertant colonies (His + revertants) were counted at the
end of the incubation.
ACKNOWLEDGMENTS
The authors would like to thank TUBITAK for its support through the
Yildiz Technical University Scientific Research Foundation (project
number FBA‐2017‐3168). In this study, the infrastructure of Applied
Nanotechnology and Antibody Production Laboratory established with
TUBITAK support (project numbers: 115S132 and 117S097) was used.
CONFLICTS OF INTERESTS
The authors declare that there are no conflicts of interests.
ORCID
Cigdem Yolacan
REFERENCES
[1] K.‐G. Weng, Y.‐L. Yuan, Braz. J. Med. Biol. Res. 2017, 50, e6455.
[2] M. Kaur, S. Kohli, S. Sandhu, Y. Bansal, G. Bansal, Anti‐Cancer
|
4.14
Molecular docking analysis
[3] A. Sabt, O. M. Abdelhafez, R. S. El‐Haggar, H. M. F. Madkour, W. M.
Eldehna, E. El‐D. A. M. El‐Khrisy, M. A. Abdel‐Rahman, L. A. Rashed,
The aim of molecular docking is to give a prediction of the small mo-
lecule and receptor such as DNA, RNA, protein, enzyme and so forth.
The structure of a B‐DNA dodecamer (PDB: 1BNA)[26] with 1.9 Angstrom
resolution was used as a target receptor for molecular docking analysis.
All water molecules and ions were deleted, and the polar hydrogens were
added to the receptor before the docking calculation. The molecular
structure of the synthesized compound was prepared and optimized with
DFT/B3LYP 6‐311++G(d,p) basis set using Gaussian software.[39] For
docking analysis, all.pdb files were converted to.pdbqt file format via
docking protocol. The grid boxes were adjusted to X = 40 Å, Y = 40 Å and
[4] J. Dandriyal, R. Singla, M. Kumar, V. Jaitak, Eur. J. Med. Chem. 2016,
[6] R. A. Petros, J. M. de Simone, Nat. Rev. Drug Discov. 2010, 9. https://
[7] A. Aghebati‐Maleki, S. Dolati, M. Ahmadi, A. Baghbanzhadeh, M.
Asadi, A. Fotouhi, M. Yousefi, L. Aghebati‐Maleki, J. Cell. Physiol.