Varsha V Koppal1, Raveendra Melavanki2, Raviraj Kusanur3, Zabin K Bagewadi4, Deepak A Yaraguppi4, Sanjay H Deshpande4, Ninganagouda R Patil5. 1. Department of Physics, KLE Technological University, Hubli 580031, Karnataka, India. 2. Department of Physics, M S Ramaiah Institute of Technology, Bangalore 560054, Karnataka, India. 3. Department of Chemistry, RV College of Engineering, Bangalore 560059, Karnataka, India. 4. Department of Biotechnology, KLE Technological University, Hubli 580031, Karnataka, India. 5. Department of Physics, B V B College of Engineering and Technology, Hubli 580031, Karnataka, India.
Abstract
The present study harnesses fluorescence quenching between a nonfluorescent aniline and fluorophore 2-acetyl-3H-benzo[f]chromen-3-one [2AHBC] in binary solvent mixtures of acetonitrile and 1,4-dioxane at room temperature and explores the fluorophore as an antimicrobial material. Our findings throw light on the key performance of organic molecules in the medicinal and pharmaceutical fields, which are considered as the most leading drives in therapeutic applications. In view of that, fluorescence quenching data have been interpreted by various quenching models. This demonstrates that the sphere of action holds very well in the present work and also confirms the presence of static quenching reactions. Additionally, the fluorophore was first investigated for druglike activity with the help of in silico tools, and then it was investigated for antimicrobial activity through bioinformatics tools, which has shown promising insights.
The present study harnesses fluorescence quenching between a nonfluorescent aniline and fluorophore 2-acetyl-3H-benzo[f]chromen-3-one [2AHBC] in binary solvent mixtures of acetonitrile and 1,4-dioxane at room temperature and explores the fluorophore as an antimicrobial material. Our findings throw light on the key performance of organic molecules in the medicinal and pharmaceutical fields, which are considered as the most leading drives in therapeutic applications. In view of that, fluorescence quenching data have been interpreted by various quenching models. This demonstrates that the sphere of action holds very well in the present work and also confirms the presence of static quenching reactions. Additionally, the fluorophore was first investigated for druglike activity with the help of in silico tools, and then it was investigated for antimicrobial activity through bioinformatics tools, which has shown promising insights.
The
fluorescence quenching mechanism has become an imperative spectroscopic
tool to investigate biophysical and biochemical systems in different
liquid media. It reveals important information about proteins, membranes,
and macromolecular assemblies. For fluorescence quenching studies,
we generally select quenchers such as carbon tetrachloride, aniline,
bromobenzene, various metal ions, and quantum dots. The selection
of quencher for the respective fluorophore mainly depends on the suitability
of the molecular electronic structure of the quencher with the fluorophore.[1,2] Recently, there has been an increased interest in photochemistry
and photobiology among scientists and researchers because of the potential
applications of fluorescence quenching in the field of molecular dynamics
and molecular imaging. The fluorescence quenching study helps in understanding
the dynamic changes of proteins in complex macromolecular systems
to navigate microbial cell growth, etc.[3−7] The main reason for fluorescence quenching is various molecular
interactions such as energy relocation, molecular reorganization,
collisional quenching, and ground-state complex formation.[8] However, quenching mechanisms are also affected
by the type of the quencher and the nature of the fluorophores.[9] Fluorescence quenching can be employed to study
protein folding at the single-molecule level,[10] and further is constructive to acquire information about the conformational
and/or dynamic changes of proteins in complex macromolecular systems.[11]Coumarins have been the most important
compounds for photophysical
studies during the last few decades, as they are exceedingly fluorescent
in nature. Coumarin is a plant-derived product that is naturally available
in different plants such as cassia cinnamon, tonka beans, strawberries,
apricots, black currents, etc.[12] They are the most widely used organic substances in therapeutic
applications as photochemotherapy, antibacterial, anti-inflammatory,
antitumor, and anti-HIV therapy agents, central nervous system (CNS)
stimulants, and anticoagulants and dyes. A recent study on coumarin
shows that coumarin-containing drugs can decrease estrogenic activity,
which arises during menopause.[13,14] Over the past few decades,
technological improvements in both optics and electronics have greatly
expanded fluorometric applications, predominantly in analytical fields,
as a consequence of the high sensitivity and specificity afforded
by the techniques. Using fluorometry in the study and conservation
of cultural heritage is a recent development.[15] The recent outburst in new fluorescence applications is accelerating
the rapidity of research and development in basic and applied life
sciences, including genomics, proteomics, bioengineering, medical
diagnosis, and industrial microbiology. Fluorescence-based techniques
are extensively used to address fundamental and applied questions
in the biological and biomedical sciences. The current use of fluorescence-based
technology includes assays for biomolecules, metabolic enzymes, DNA
sequencing, research into biomolecule cell signaling dynamics and
adaptation, and fluorescence in situ hybridization
(FISH) to identify specific DNA and/or RNA sequences in tissues. Recently,
molecular methods have been applied to fuse the gene for the green
fluorescent protein (GFP) to other genes, leading to its expression
in living cells. This allows a sophisticated breakdown of gene expression
and cellular location of important structural proteins and enzymes.
Extreme selectivity of fluorescent labels that can target specific
organisms opens new avenues to resolve industrially and medically
relevant problems in areas such as public health, the safety of foods,
and environmental monitoring. Innovative fluorophores, new techniques
including spectrally and temporally resolved fluorescence, and purpose-engineered
instrumentation create niche commercial opportunities and lead toward
tangible industrial outcomes. Fluorescence spectroscopy is one of
the most sensitive and versatile instruments in medical, biological,
and biochemical research. Table S1 lists
some of its numerous applications.[16]The fluorescence quenching of coumarins provides beneficial information
about structural and dynamic properties. Studies have shown that effectively
adding a substituent group to the parent molecule influences and enhances
the biochemical and pharmacological properties.[17−19] Coumarins have
shown significant growth in the use of fluorescence in biological
sciences, especially in biochemistry and biophysics, along with environmental
monitoring, clinical chemistry, DNA sequencing, and genetic analysis
by fluorescence in situ hybridization. Especially
in molecular biology, fluorescence is used for cell identification
and sorting in flow cytometry and in cellular imaging to reveal the
localization and movement of intracellular substances by means of
fluorescence microscopy. Because of the high sensitivity of fluorescence
detection, there is continuing development of medical tests based
on the phenomenon of fluorescence. These tests include widely used
enzyme-linked immunoassays and fluorescence polarization immunoassays.In the literature, only few articles are focused on fluorescence
quenching of coumarin compounds in binary solvent mixtures, ADMET,
molecular docking, in silico and antimicrobial studies.
Hence, the above insights have enlightened us to undertake a detailed
analysis on the title fluorophore. This present study would help us
to find the possible applications of 2AHBC for molecular imaging and
biomedical applications.
Experimental Section
Materials
The fluorescent probe 2-acetyl-3H-benzo[f]chromen-3-one [2AHBC] was freshly
synthesized as reported in the literature.[20] Aniline is used as a quencher. Acetonitrile (ACN) and 1,4-dioxane
(DXN) solvents are selected to prepare binary solvent mixtures. The
solubility of the solute was checked prior to conducting the experiment.
The solvents ACN, DXN, and quencher aniline were procured from S-D
Fine Chemicals Ltd., India; they were of HPLC grade and used as received.
To minimize self-quenching and reabsorption, the concentration of
solute was kept minimum (1 × 10–6 M) in all
of the solvent mixtures. Preparing a fresh solution prior to conducting
the experiment would help in getting good results. The aniline concentration
varied from low 0.00 M to high 0.01 M in all of the binary mixtures.
Absorption, Emission, and Lifetime Measurements
The study of spectroscopic properties was carried out in various
concentrations of ACN + DXN mixture by measuring absorption spectra
using a UV/vis spectrophotometer (model: U-3300) with a wavelength
accuracy of 0.5 nm and emission spectra using a Hitachi spectrophotometer
F-7000 at room temperature. For every measurement, the spectrometer
was calibrated for the baseline. All of the glassware were cleaned
well prior to preparing the solutions. Fluorescence lifetime measurements
were carried out for the 2AHBC molecule with and without a quencher
using a spectrometer (model: ChronosBH, TCSPC). All of the results
obtained from the experiments can be reproducible within 5% of the
experimental error.
Selection of Target
Pseudomonas aeruginosa is a facultative
pathogen,
which has very high medical importance because of its resistant nature. P. aeruginosa is a multi-drug-resistant pathogen
because of its ubiquitous nature. Intrinsic mechanisms that are responsible
for the resistance have a great impact on the illness caused.[21] A number of therapeutic targets to target P. aeruginosa have already been studied, but it is
very important to select a target that is part of the antibiotic resistance
mechanism. Targeting proteins involved in antibiotic resistance not
only helps in reducing resistance but also helps in controlling the
growth of pathogens.[21] To find a suitable
target, the complete genome of P. aeruginosa was downloaded with assembly idGCF_000006765.1 from NCBI Genome.
The downloaded genome was submitted to the ARTS tool for the prediction
of essential (core) genes and resistant gene models.[22]
ADMET, Drug-Likeness, and
Molecular Docking
Adsorption, distribution, metabolism excretion,
and toxicity analysis
(ADMET) is one of the valuable processes present in the discovery
pipeline of drugs. The main aim of ADMET studies is to find the physiochemical
properties of the compound, which are a very important part of compound
design and optimization. Oral absorption, receptor toxicity, clearance,
and brain dispersion are significant features to be observed in ADMET
studies.Molecular docking is performed to calculate the binding
affinity and the best possible mode of the ligand in a complex with
protein.[23,24] The structure of 2-acetyl-3H-benzo[f]chromen-3-one was obtained from the PubChem
database (Pubchem id: 748172),[25] and the
structure was optimized using Open Babel[26] with minimization steps of 5000; the weighted rotor search method
was employed to generate 50 conformations for the compound, and minimization
was carried out using the steepest descent method.[27] In the current study, Erythronate-4-phosphate dehydrogenase
was chosen as the target based on the ARTS prediction. The crystal
structure of the protein was downloaded from the PDB database[28] and a reference-based docking study was carried
out using Autodock vinatool.[29] The grid
box was generated with the specification of 3.5 Ao areas around the
bound cocrystallized ligand.[30]
Antimicrobial Activity of 2-Acetyl-3H-benzo[f]chromen-3-one
The In vitro antibacterial
capability of the synthesized compound,
2-acetyl-3H-benzo[f]chromen-3-one,
was evaluated by the agar well diffusion technique according to the
method published previously by Yaraguppi et al.[30] The pathogens were obtained from the Microbial Type Culture
Collection and Gene Bank (MTCC), Chandigarh, and the National Collection
of Industrial Microorganisms (NCIM), Pune. The antibacterial effect
was assessed against Gram-positive bacteria like Micrococcus
luteus (NCIM 2871), Bacillus cereus (NCIM 2217), Bacillus subtilis (NCIM
2718), and Staphylococcus aureus (MTCC
737). Also, it has been tested against Gram-negative pathogens such
as Escherichia coli (MTCC 443), Salmonella typhimurium (MTCC 98), P. aeruginosa (MTCC 2297), and Klebsiella
pneumoniae (MTCC 109). The pathogenic cultures (24
h broth) were spread-plated on the nutrient agar plates. Wells were
created on the inoculated plates with a sterile cork borer for loading
the compound. 2-Acetyl-3H-benzo[f]chromen-3-one (100 μl, 5 mg mL–1) prepared
in dimethyl sulfoxide (DMSO) was filled in the agar wells and allowed
for diffusion. The compound-loaded plates were incubated for 24 h
at 35 ± 2 °C. DMSO and gentamicin were used as negative
and positive controls, respectively. The zone of inhibition (mm) was
recorded. The in vitro antifungal property was examined
by employing the agar disk diffusion method following the method reported
by Bagewadi et al.[31] The compound was
tested against a selected pathogen, Candida albicans, which is our lab isolate. The fungal pathogen was grown in potato
dextrose broth (24 h) and inoculated on potato dextrose agar plates.
The compound was loaded on Whatman filter paper no. 1 disks (6 mm)
and kept on the agar plates. The inoculated cultures were incubated
for 48 h at 30 ± 2 °C. The inhibition zone (mm) was measured.
Positive control was clotrimazole.
Determination
of the Minimum Inhibitory Concentration
(MIC)
MIC is known as the maximum dilution of the compound
that exhibits the inhibition of microbial growth. The MIC was executed
as per the method illustrated by Bagewadi et al.[32] using microdilution technique. The synthesized compound
stock (5 mg mL–1) was diluted (using DMSO as diluent)
to achieve a concentration between 5 and 0.625 mg mL–1. The bacterial pathogen P. aeruginosa was inoculated in nutrient broth and agitated with the respective
concentrations of the compound for 24 h incubation (35 ± 2 °C).
The turbidity was assessed by recording OD at 660 nm.
Results and Discussion
Fluorescence Quenching
of 2AHBC in Binary
Solvent Mixtures
The molecular structure of 2-acetyl-3H-benzo[f]chromen-3-one [2AHBC] is presented
in Figure . Valuable
information regarding quencher interactions with the fluorophore can
be obtained by combining stationary and time-resolved measurements.
Figure 1
Molecular
structure of the 2AHBC molecule.
Molecular
structure of the 2AHBC molecule.Typical absorption and emission spectra of 2AHBC were recorded
with and without aniline at room temperature and are shown in Figures and 3, respectively. A slight bathochromic shift was observed in
the absorption spectra (Figure ) due to the reactive nature of the solute toward the polarity
of the solvent mixtures. Table represents the excitation wavelength, emission wavelength,
and peak intensity of the fluorophore at different quencher concentrations.
A considerable bathochromic shift was observed in the fluorescence
wavelength compared to the absorption wavelength as we go from a high
polar solvent, i.e., 100% ACN, to a low polar solvent, i.e., 100% DXN. This is attributed to the dipole–dipole
interaction between the solute and the solvent molecules in the excited
state than in the ground state.
Figure 2
Typical normalized absorption spectrum
of 2AHBC + different concentrations
of aniline in 60% ACN + 40% DXN solvent mixture.
Figure 3
Typical
fluorescence spectrum of 2AHBC + different concentrations
of aniline in 60% ACN + 40% DXN solvent mixture.
Table 1
Fluorescence Intensity (I) of [2AHBC]
as a Function of Quencher (Aniline) Concentration [Q] at a Fixed Solute
Concentration (1 × 10–6 M) in Different ACN
+ DXN Solvent Mixtures at Room Temperature
100% ACN + 0% DXN λexi = 379 nm, λemi = 456 nm
80% CAN + 20% DXN λexi = 375 nm, λemi = 450 nm
60% CAN + 40% DXN λexi = 375 nm, λemi = 447 nm
40% CAN + 60% DXN λexi = 375 nm, λemi = 443 nm
20% ACN + 80% DXN λexi = 375 nm, λemi = 440 nm
0% CAN + 100% DXN λexi = 380 nm, λemi = 420.5 nm
[Q]
I
I0/I
I
I0/I
I
I0/I
I
I0/I
I
I0/I
I
I0/I
0.00
4665.500
3747.270
3600.000
3560.000
3500.000
3028.000
0.02
3301.952
1.412
2867.341
1.306
2873.643
1.252
2768.762
1.285
2892.044
1.210
2564.158
1.180
0.04
2421.604
1.926
2184.928
1.715
2329.616
1.545
2160.823
1.647
2389.436
1.464
2144.113
1.412
0.06
1818.371
2.565
1669.565
2.244
1891.168
1.903
1674.593
2.125
1959.627
1.786
1760.470
1.719
0.08
1394.835
3.344
1229.971
3.046
1558.597
2.312
1278.738
2.783
1587.816
2.204
1410.314
2.147
0.10
1069.995
4.360
963.880
3.887
1232.003
2.922
929.138
3.831
1253.798
2.791
1084.714
2.791
Typical normalized absorption spectrum
of 2AHBC + different concentrations
of aniline in 60% ACN + 40% DXN solvent mixture.Typical
fluorescence spectrum of 2AHBC + different concentrations
of aniline in 60% ACN + 40% DXN solvent mixture.However, as seen in Figure , a significant decrease was observed in
the intensity of
the peak maxima with an increase in the aniline concentration from
0.0 to 0.10 M. This signifies that aniline successfully quenches the
fluorescence intensity of the solute molecule 2AHBC. However, the
lifetime of 2AHBC was recorded by varying the quencher concentration
in 100% DXN solvent. An increase in the quencher concentration was
observed with a decrease in the lifetime of the solute under study.[33,34]Figure shows the
transient state lifetime decay profile of 2AHBC in 0% ACN + 100% DXN
with and without a quencher at room temperature. The lifetime of 2AHBC
was biexponential without the quencher and was found to be τ0 = 1.10 ns.
Figure 4
Fluorescence
decay curves of 2AHBC + with and without aniline in
0% ACN + 100% DXN.
Fluorescence
decay curves of 2AHBC + with and without aniline in
0% ACN + 100% DXN.
Stern–Volmer
(S-V) Plots
The
behavior of the solute molecule under the influence of binary solvent
mixtures on the fluorescence quenching mechanism has been studied
with the help of S-V relations. With the help of eqs and 2, S-V plots were constructed
in the steady state and in the transient state,[35] respectively, and are shown in Figures and 6.where KSV = kqτ0 called the Stern–Volmer
constant, kq is the bimolecular quenching
rate constant, and τ0 represents the lifetime of
the excited solute molecule in the absence of quencher [Q].
Figure 5
Steady-state S-V plots for 2AHBC + different concentrations of
aniline in various solvent mixtures.
Figure 6
Transient
state S-V plots for 2AHBC + different concentration of
aniline in 0% ACN + 100% DXN.
Steady-state S-V plots for 2AHBC + different concentrations of
aniline in various solvent mixtures.Transient
state S-V plots for 2AHBC + different concentration of
aniline in 0% ACN + 100% DXN.In the present case, the S-V plot in the steady state shows the
concave upward curve in all ACN + DXN solvent mixtures.[36] The presence of static quenching may be the
reason for the presence of static quenching. By comparing Figures and 6, we can say that both types of quenching, static and dynamic
quenching, are present. The pronounced difference in transient-state
and steady-state measurements also shows that the static processes
are strongly dominating in the quenching of 2AHBC fluorescence by
the aniline used in this work. However, the S-V plot in the transient
method shows linearity[37] in ACN + DXN solvent
mixtures. It signifies that the presence of static quenching is either
due to the sphere of action model or the formation of the ground-state
complex.[38−40]According to the modified Stern–Volmer
equation, S-V plots
were constructed in the steady state and are shown in Figure where W represents the partially
quenched particles, 1 – W represents the unquenched
particles, I0 is the intensity of the
solute without a quencher molecule, and I is the
intensity of the solute with a quencher molecule. The S-V quenching
constant (KSV) and a portion of the quenched
particles (W) can be easily determined from eq .[41] However, the kinetic distance (r) and volume of
the static quenching constant (V) are evaluated by
the relation .
Figure 7
Modified S-V
plot for 2AHBC in binary solvent mixtures.
Modified S-V
plot for 2AHBC in binary solvent mixtures.
Ground-State Complex Model
The nonlinear
behavior of the S-V plot can be analyzed by incorporating eq where kg represents
the association constant.This model can also be applied when
there is any considerable change in the absorption or emission spectrum
of the solute.[42] As we have observed a
slight bathochromic shift in absorption spectra and considerable bathochromic
shift in emission spectra, we applied the ground-state complex model
using spectral data. But, unfortunately, we have obtained all kg values as imaginary. Hence, we can suggest
that the ground-state complex model does not hold well for the present
molecule in all ACN + DXN solvent mixtures.[18]
Sphere of Action Model
The bimolecular
parameters and quenching rate constants were determined by a modified
S-V plot for 2AHBC. Table presents the dielectric constant of solvent mixtures and
quenching rate constants. The bottom of the table contains the radii
of the solute (RS) and quencher (RQ). The obtained results were correlated with
the literature.[40−43] It is observed that the calculated values of encounter distance
(R) are almost double the kinetic distance (r) in all of the binary solvent mixtures. This demonstrates
that the present work obeys the sphere of action model[44] and hence confirms the presence of static quenching
reactions. However, static effects can also be evident from diffusion-limited
reactions.[45] Further, the concave upward
curve from the linearity in the S-V plot signifies the simultaneous
occurrence of static and dynamic quenching.[46]
Table 2
Various Fluorescence Quenching Parameters
of [2AHBC] in ACN + DXN Solvent Mixtures
In
the case of static quenching, diffusion-limited quenching reactions
are confirmed by applying eq .[47−49]where KSV0 = 4πN′ RDτ0ka/(4πN′ RD + ka). Using slopes and intercept
of
the linear plot of KSV–1 against [Q]1/3, the value of KSV0 at [Q] = 0 and diffusion
coefficient D were determined. KSV0 can also
be written asThe distance parameter (R′) is evaluated using eq as given belowQuenching reactions
were diffusion-limited,[49] provided ka > kd, i.e., for R′ < R, and kq > 4πN′R′ D for R′ > R.(32)The linear plots of KSV–1as a function of [Q]1/3 for 2AHBC is
shown in Figure . Table presents the values
of KSV0, D, and distance parameter (R′) evaluated from eq . The obtained results were compared and found to be consistent
with the literature.[50,51] However, according to Zeng and
Joshi[45,46] et al., quenching reactions are said to
be diffusion-limited only when R′ is larger
than R(52,53) and kq> 4πN′R′D.[54,55] From Table , it is confirmed
that R′ > R and kq> 4πN′R′D[56,57] in all of
the ACN + DXN solvent mixtures. Hence, reactions are said to be diffusion-limited.
Figure 8
Plots
of KSV–1 as a function of [Q]1/3 for 2AHBC.
Table 3
Steady-State S-V
Constant at [Q] = 0 and Other Quenching Constants
for [2AHBC]a,b
binary solvent
mixture (% v/v)
KSV0 (M–1)
Db = D × 105 (cm2 s–1)
R′ (Å)
4πN′DR′ × 10–9 or kd (M–1 s–1)
ka × 10–9 (M–1 s–1)
kq × 10–9 (M–1 s–1)
1/η (10–2 × P–1)
100% ACN + 0% DXN
13.119
1.918
8.220
11.926
23.345
2.904
80% ACN + 20% DXN
9.009
1.155
9.370
8.190
18.552
2.871
60% ACN + 40% DXN
8.436
1.376
7.330
7.639
13.297
2.439
40% ACN + 60% DXN
8.268
1.058
9.390
7.516
16.443
1.881
20% ACN + 80% DXN
6.536
0.931
8.430
5.942
11.570
1.295
0% ACN + 100% DXN
5.228
0.666
9.430
4.752
10.515
0.848
(2AHBC) R = RS (3.68
Å) + RQ (2.84 Å) = 6.52 Å.
(RS, radii
of the solute, RQ radii of the quencher).
τ0 = 1.10
ns, Db: diffusion coefficients determined
from the
finite sink model.
Plots
of KSV–1 as a function of [Q]1/3 for 2AHBC.(2AHBC) R = RS (3.68
Å) + RQ (2.84 Å) = 6.52 Å.
(RS, radii
of the solute, RQ radii of the quencher).τ0 = 1.10
ns, Db: diffusion coefficients determined
from the
finite sink model.Using eqs and 7, the distance parameter (R) and
the mutual diffusion coefficient (D) were determined
and are presented in Table . It was observed that there was no similarity between Da and Db and R′ and R in all of the ACN + DXN
solvent mixtures. This is due to the deviations in the values of the
adjustable parameter “a” in the Stokes–Einstein
relation and the approximated values of the atomic volume in the Edward′s
empirical relation.[53] A similar discrepancy
was observed in other studies.[58−60] Hence, we can conclude that the
finite sink approximation model helped us only to extract D and R′ values.
Table 4
Mutual Diffusion Coefficients and
Distance Parameter R′ for [2AHBC]a,b
solvent mixture
(% v/v)
Da = D × 105 (cm2 s–1)
Db = D × 105 (cm2 s–1)
R′ (Å)
100% ACN + 0% DXN
6.304
1.918
8.220
80% ACN + 20% DXN
6.155
1.155
9.370
60% ACN + 40% DXN
5.229
1.376
7.330
40% ACN + 60% DXN
4.032
1.058
9.390
20% ACN + 80% DXN
2.776
0.931
8.430
0% ACN + 100% DXN
1.564
0.666
9.430
Da:
diffusion coefficients by the Stokes–Einstein relation. Db: diffusion coefficients by the finite sink
model.
(2AHBC) R = 6.52
Å.
Da:
diffusion coefficients by the Stokes–Einstein relation. Db: diffusion coefficients by the finite sink
model.(2AHBC) R = 6.52
Å.Furthermore, the
effect of the dielectric constant of the solvent
mixtures on the quenching constant of 2AHBC was studied. Figure shows the nonlinear
plot of KSV against the dielectric constant
(ε) for 2AHBC. It was observed that with an increase in the
dielectric constant of the solvent mixture, there was an increase
in KSV, which shows the improved reaction
rate and charge transfer nature. As we continue to increase the polar
nature of the solvent, the dielectric constant increases, which in
turn stabilizes the reacting species. The fluorescence quenching will
be more pronounced for polar solvents with increasing dielectric constants,
which might be due to the effect of the hydrogen bond on a radiationless
deactivation process. This indicates an elevated charge transfer nature
of the exciplex in the ACN + DXN solvent mixtures. Similar results
were reported in other literature studies.[58,59]
Figure 9
Plot
of KSV against the dielectric
constant (ε) for 2AHBC.
Plot
of KSV against the dielectric
constant (ε) for 2AHBC.Figure shows
the graph of the frequency of encounter (kd) against the inverse viscosity of different binary mixtures. As
seen in Figure ,
both the frequency of encounter, kd, and
quenching rate parameter, kq, increase
with a decrease in viscosity. Hence, we can conclude that quenching
is controlled by material diffusion. As shown in Figure , the dependency of the bimolecular
quenching rate parameter (KSV) was correlated
with the viscosity of the binary solvent mixture. For the present
molecule, an inverse dependency of viscosity of solvent mixture on KSV was observed.[51] The fluorescence quenching has no major impact or a less pronounced
impact on the viscosity of solvents. This is attributed to the mechanisms
such as single–triplet conversion, charge transfer complex,
and chemical reactions that might play a role.
Figure 10
Plot of kq, kd against 1/η ×
10–2 of the binary
solvent mixture (ACN + DXN) for 2AHBC.
Figure 11
Plot
of KSV against viscosity of the
binary solvent mixture (ACN + DXN) (η) for 2AHBC.
Plot of kq, kd against 1/η ×
10–2 of the binary
solvent mixture (ACN + DXN) for 2AHBC.Plot
of KSV against viscosity of the
binary solvent mixture (ACN + DXN) (η) for 2AHBC.
Antibiotic-Resistant Target in Pseudomonas aeruginosa
The analysis of the P. aeruginosa genome for the possible antibiotic-resistant
targets was carried out using ARTS (Antibiotic-Resistant Target Seeker
V2). The analyzed genome showed that the genome of P. aeruginosa consists of a total of 5681 genes,
out of which 584 genes are core genes or the essential genes, 13 genes
are part of biosynthetic pathway gene clusters, and 63 genes are antibiotic-resistant
models. Erythronate-4-phosphate dehydrogenase is one of the enzymes
that are an essential protein in the lifecycle of P.
aeruginosa and is also part of the antibiotic-resistant
model. The three-dimensional (3D) crystallized structure of erythronate-4-phosphate
dehydrogenase was obtained from the PDB (Protein Data Bank (PDB) id: 2O4C).[61]Figure shows the 3D structure of erythronate-4-phosphate dehydrogenase
with a resolution of 2.30 Å.
Figure 12
3D structure of erythronate-4-phosphate
dehydrogenase structure
from P. aeruginosa (PDB id: 2O4C) colored based on
the secondary structure (helix: red, sheet: yellow, loop: green).
3D structure of erythronate-4-phosphate
dehydrogenase structure
from P. aeruginosa (PDB id: 2O4C) colored based on
the secondary structure (helix: red, sheet: yellow, loop: green).
Molecular Docking
Molecular docking
was carried out on erythronate-4-phosphate dehydrogenase with compound
2AHBC (Pubchem id: 748172) to find the best possible mode of binding.
Details of ADMET properties of the compound 2-acetyl-3H-benzo[f]chromen-3-one are presented in Table S2. ADMET analysis of the compound 2AHBC
was carried out, and it was seen that the compound passed Lipinski’s
rule of drug-likeness. It was also predicted that the compound has
high GI absorption and is also BBB permeate. The best fit was selected
based on the binding affinity score and based on the interactions
with the important residues of erythronate-4-phosphate dehydrogenase.
The target protein structure was further cleaned by removing the waters
using Autodock tools, and the cocrystallized ligand of NAD+ was further
removed for the molecular docking. The binding space of the cocrystallized
was analyzed, and the key residues were identified. A total of 103
water molecules were removed from the structure.[62]The grid box for the docking was considered based
on the coordinates of the cocrystallized ligand. The coordinates were x = 27.37, y = 85.45, and z = 2.32, and the size of the grid box for the docking was 25 points
for x, y, and z coordinates. The docking of erythronate-4-phosphate dehydrogenase
with the optimized structure of 2AHBC was carried out with exhaustiveness
of 100 (high accuracy), and the binding affinity was determined to
be −7.9 kcal mol–1. A comprehensive analysis
of the complex was done, and the involvement of key amino acid residues
in the active site is tabulated in Table and Figure .
Table 5
Docking Result of Erythronate-4-phosphate
Dehydrogenase with 2-Acetyl-3H-benzo[f]chromen-3-one with Interaction Sites
compound
name
docking score (Kcal mol–1)
interaction
residues (hydrogen bond)
interaction
residues (hydrophobic interactions)
pi-cation
interactions
2-acetyl-3H-benzo[f]chromen-3-one
–7.9
ASN91
ARG44, ILE67, ASN91, TYR258
ARG346
Figure 13
3D image of the protein–ligand complex of erythronate-4-phosphate
dehydrogenase with 2AHBC with interacting sites.
3D image of the protein–ligand complex of erythronate-4-phosphate
dehydrogenase with 2AHBC with interacting sites.
Antimicrobial Evaluation
of 2-Acetyl-3H-benzo[f]chromen-3-one
In vitro antimicrobial attributes of 2AHBC are
presented
in Table . Based on
the antibacterial evaluation by the agar well diffusion method, the
2AHBC compound showed a diverse inhibitory effect on different pathogens.
The compound was revealed to exhibit antibacterial attributes against
all of the evaluated microbial strains. A zone of inhibition greater
than 10 mm was termed a prominent effect. A pronounced effect was
observed against P. Aeruginosa (23.3
± 0.9 mm) (Gram-negative bacteria) and B. subtilis (19.5 ± 0.8 mm) (Gram-positive bacteria). In vitro antifungal activity of 2AHBC against C. albicans was also promising, with a 16.7 ± 1.3 mm zone of inhibition
based on the analysis of the agar disk diffusion method. No effect
with DMSO (negative control) and inhibitory effect with standard gentamicin
(positive control) were observed. Evaluation of the MIC of the compound
against P. aeruginosa was carried out
considering the highest inhibitory effect shown on the pathogen. P. aeruginosa was found to be susceptible, exhibiting
significant inhibition with a MIC of 2.5 mg mL–1 (Figure ). Bacterial
infections have led to significant health disasters globally possibly
due to drug resistance. As a result, this has led to the development
of new prospective drug molecules with both a specific and broad range
of antimicrobial effects. The Gram-negative microbial strains are
usually resistant to drugs due to the effective outer membrane that
is constructed of lipopolysaccharide, which restricts the penetration
of the drug molecules. It also recognizes and pumps out the chemical
molecules out of the cell without allowing them to interact with the
drug target. Hence, designing and synthesizing a drug molecule specific
for Gram-negative microbial strain is crucial. Coumarins are desirable
molecules for the development of novel antibacterial agents.[63] Several synthesized coumarins are reported in
the literature for various biological activities. El-Wahab et al.[64] reported the synthesis of 2-(heteroaryl)-3H-benzo[f]chromen-3-ones with antibacterial
potential against E. coli and S. aureus. An application of antimicrobial polyurethane
coating using 2-(2-amino-1,3-thiazol-4-yl)-3H-benzo[f]chromen-3-one (a coumarin thiazole derivative) possessing
antimicrobial potential has been reported by El-Wahab et al.[64] Raj et al.[65] synthesized
several compounds and studied the antimicrobial effect and MIC against
several bacterial and fungal pathogens, but none of the compounds
could inhibit the growth of P. aeruginosa, and interestingly, we report the inhibition of P.
aeruginosa by our synthesized compound. Studies showed
that the electron-withdrawing groups usually exhibit the antifungal
activity of the compounds against C. albicans and Candida tropicalis. The electron-releasing
group may possibly promote the antibacterial effect against Gram-positive
pathogens, and electron-withdrawing groups may trigger antibacterial
effects against both Gram-positive and Gram-negative microbial strains[65] as reported for newly synthesized 2H-benzo[h] chromene derivatives as a group of antibacterial
adjuvants that exhibit effective biological properties. However, not
much literature is available on the antimicrobial properties of the
compound 2-acetyl-3H-benzo[f]chromen-3-one.
Each data value represents the mean±SD value of triplicate experiments
and is significant at p < 0.05.
Table 6
Antimicrobial Properties of 2-acetyl-3H-benzo[f]chromen-3-one
pathogens
zone of inhibition
(mm ± SD)
gram negative
bacterial cultures
Klebsiellapneumoniae (MTCC 109)
07.2 ± 0.5
Salmonella typhimurium (MTCC 98)
11.4 ± 0.6
aepPseudomonas aeruginosa (MTCC 2297)
23.3 ± 0.9
Escherichia coli (MTCC 443)
16.8 ± 0.8
gram positive
bacterial cultures
Micrococcus luteus (NCIM 2871)
15.2 ± 1.1
Bacillus cereus (NCIM 2217)
17.4 ± 0.7
Bacillus subtilis (NCIM 2718)
19.5 ± 0.8
Staphylococcus aureus (MTCC 737)
12.2 ± 1.2
fungal culture
Candida albicans
16.7 ± 1.3
Figure 14
Minimum inhibitory concentration of 2AHBC against P. aeruginosa.
Minimum inhibitory concentration of 2AHBC against P. aeruginosa.
Conclusions
Fluorescence quenching of 2AHBC
in solvent mixtures of ACN + DXN
was analyzed. The Stern–Volmer plot showed a concave upward
curvature in the presence of quenchers. The studied system obeys the
sphere of action static quenching model and confirms the presence
of static quenching. For 2AHBC, kq was
found to be greater than 4πN′R′D. Hence, quenching reactions
were found to be diffusion-limited. There was a nonlinear dependency
on the dielectric constant of the binary solvent mixture, and KSV suggests high charge transfer of the exciplex
in the binary solvent mixture and an inverse dependency of viscosity
of solvent mixture on KSV. The fluorescence
quenching is more efficient in polar solvents, and in them, quenching
decreases as the viscosity of the medium increases. This is attributed
to the mechanisms such as single–triplet conversion, charge
transfer complex, and chemical reactions that might play a role. We
also expect fluorescence quenching to find its application in studying
other biological processes, such as RNA folding or conformational
changes of enzymes during functioning. In view of this, the fluorophore
was first applied for druglike activity, and then it was checked for
antimicrobial activity through bioinformatics tools, which showed
positive results. Docking studies were performed for its antimicrobial
activity against a facultative pathogen P. aeruginosa, as it is multi-drug-resistant. We have selected erythronate-4-phosphate
dehydrogenase, which is part of the antibiotic resistance mechanism.
After positive in silico studies, in vitro studies
were carried out with selected pathogens to prove their antimicrobial
activity, and the results were encouraging, with a higher zone of
clearance for P. aeruginosa compared
to other pathogens in the study. These considerations can strongly
indicate that fluorescence quenching mechanisms are useful and extensively
appropriate to obtain enriched information about the structure and
dynamics of biologically important macromolecular systems.
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