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Original article
03 2020
:33;
101313
doi:
10.1016/j.jksus.2020.101313

Molecular structure simulation of (E)-2-(butan-2-ylidene) hydrazinecarbothioamide using the DFT approach, and antioxidant potential assessment of its complexes

Department of Chemistry, Integral University, Dasauli, P.O. Bas-ha, Kursi Road, Lucknow 226026, UP, India
Department of Biochemistry, Era’s Lucknow Medical College and Hospital, Era’s University, Lucknow 226003, U.P., India
Department of Chemistry, Isabella Thoburn College, 7, Faizabad Road, Lucknow 226007, UP, India
Department of Chemistry, College of Science, King Saud University, PO Box-2455, Riyadh 11451, Saudi Arabia

⁎Corresponding author. tahminakhan30@yahoo.com (Tahmeena Khan)

Disclaimer:
This article was originally published by Elsevier and was migrated to Scientific Scholar after the change of Publisher.

Peer review under responsibility of King Saud University.

Abstract

The molecular structure of (E)-2-(butan-2-ylidene)hydrazinecarbothiomide (2-butanone thiosemicarbazone) was validated by density functional theory (DFT) calculations. The characterization of the ligand was done using various spectroscopic techniques. Four transition metal complexes were prepared with the ligand and their antioxidant activity was tested. Molecular docking studies of the complexes were also performed against nicotinamide adenine dinucleotide phosphate (NADPH) and myeloperoxidase (MPO). Structure validation of the ligand was done in Gaussian 09 software. The geometry optimization was done at B3LYP/6-31G++(d,p) level. The 1H and 13C NMR chemical shifts, FT-IR vibrations and UV–visible transitions were validated with the help of theoretical calculations. The frontier molecular orbital analysis, molecular electrostatic potential (MEP) and global reactivity descriptors were calculated to predict the stability of the molecule. Non-linear optical (NLO) properties were assessed and compared with urea. Natural bond orbital (NBO) analysis was done to predict the stability of the ligand resulting from hyper conjugative interactions and electron delocalization. Molecular docking studies of the complexes were performed with iGEMDOCK 2.1 and AutoDock 4.2.6.Antioxidant potential was assessed by 2,2-diphenyl-1-picrylhydrazyl (DPPH) Assay. 1H and 13C correlation coefficients (R2) were 0.9964 and 0.9974 respectively. In case of FT-IR, the correlation coefficient (R2) was 0.9984. [Fe(C5H11N3S)2(SO4)] possessed maximum antioxidant potential followed by [Cu(C5H11N3S)2(SO4)]. Molecular docking findings suggested that the Fe complex released the minimum binding energy. Computational structure validation is an important aspect in finding a lead moiety. The theoretical spectral findings correlated well with the experimental findings in the present study. The metal complexes showed appreciable antioxidant potential as predicted by the computational and experimental findings. The ligand possessed better NLO properties than urea.

Keywords

Gaussian
Optimization
Quantum
Mechanics
Thiosemicarbazone
Antioxidant
1

1 Introduction

Through quantum mechanical simulations the structural characteristics of new materials can be easily and accurately predicted. The computational predictions can also validate the experimental findings. Owing to the fast and accurate predictions by automated softwares, computational chemistry has received considerable attention (Matulkova et al., 2008; Boo et al., 2008). Due to the remarkable growth in the field of computational resources, many theoretical algorithms have been proposed to calculate various properties of a compound using semi-empirical and DFT methods. The theoretical data can be easily compared with the experimental one (Brewerton, 2008; Ravna and Sager, 2008). DFT has become a major tool for structure prediction and understanding the mechanistic approach (Lipkowitz et al., 2009; Lorenc et al., 2008). Quantum studies enable to envisage the structure of a chemical entity with the help of computer aided softwares. With the added support of experimental results, new molecules of significant utility may be generated (Lorenc et al., 2008). Thiosemicarbazone are one such type of Schiff based ligands of known biological importance (Kola and Landis, 2004). Thiosemicarbazones have gained considerable interest owing to their binding ability with metal ions (Pelosi, 2010). They can bind to the metal ion via N and S atoms. The authors have reported the anticancer and antibacterial activity of (E)-2-(butan-2-ylidene)hydrazinecarbothioamide and its’ complexes with Cu, Fe, Zn and Co salts in their previous manuscript where a significant activity enhancement was observed upon the coordination of metal ions (Khan et al., 2017). In this paper the experimental results obtained after the FT-IR, 1H NMR, 13C NMR and UV analysis have been verified by the quantum mechanics studies in this paper. The antioxidant activity of its’ complexes has also been assessed using the DPPH assay. Molecular docking studies of the complexes were also performed against NADPH and MPO,

2

2 Materials and methods

For chemical synthesis, thiosemicarbazide, 2-butanone and ethanol were purchased from Fisher Scientific. 1H and 13C NMR spectra were recorded on a Bruker instrument on 500.1 MHz at 295 K using tetramethylsilane (TMS) as an internal standard. The sample was run in DMSO‑d6. Mass spectrum of the ligand was obtained on FAB-MS, JEOL SX-102 mass spectrometer. IR spectra were recorded on a Bruker vertex 70 IR spectrophotometer. UV spectrum was recorded on a SpectraMax-5 spectrophotometer (Molecular Devices) between 200 and 400 nm. Density functional methods were used to predict ligand’s 1H, 13C, FT-IR and UV spectra. The DFT calculations have been carried out using Gaussian 09 software package with the internally stored DFT/B3LYP/6–31++G(d,p) basis set. NMR parameters were calculated using a single-point calculation through Guage independent atomic orbital (GIAO) approach and DFT/B3LYP method with 6–31++G(d,p) basis set and IEFPCM model with DMSO which was used to understand the solvent induced effect. The basis of selection was due to past studies showing good agreement between experimental and calculated chemical shifts (Fraser et al., 2013; White et al., 2015; Pierens et al., 2015). NMR parameters (NMR = GIAO) were calculated with a single-point calculation in gaseous and solvent phases both by the same basis set, using the optimized structures from the B3LYP/6–31++G(d,p) calculation. The structure was optimized in Gaussian 09 with the help of B3LYP/6–31++G(d,p) in vacuum. The characterization of the normal modes was done on the basis of the PED analysis using VEDA4 program and Gauss View 6.0 was used to visualize and analyze the normal modes. Molecular docking was performed using iGEMDOCK 2.1 and AutoDock 4.2.6. The target proteins NADPH-oxidase (PDB I.D.5VOH) and myeloperoxidase (MPO) (PDB I.D. 5FMA) were downloaded from www. rcsb.org/pdb.

3

3 Chemistry

3.1

3.1 Synthesis of 2-butanone thiosemicarbazone

The ligand was synthesized taking reference from a earlier published study with some alterations (Supplementary Fig. 1) (Khan et al., 2017; Kumar and Kumar, 2013).

3.1.1

3.1.1 C5h11N3S

Yield: 90%, MW:145, Solubility: Ethanol, DMSO, DMF, MP(°C): 99 °C, FTIR (KBr) (cm−1): 1619 (C⚌N), 772, 1077 (C⚌S), 1H NMR (DMSO) (ppm) 1.1 (t, 3H), 1.9 (s, 3H), 2.3 (q, 2H), 4.9 (s, 1H,NH), 7.69 (s, 2H,NH2), 13C NMR (DMSO) (ppm): 10.70 (CH3), 18.72 (CH3), 31.62 (CH2), 155.5 (C⚌N) and 178.72 (C⚌S), ESI MS (m/z): 146.1 M+, λmax (nm): 267.

Four transition metal complexes of Cu, Fe, Zn and Co were prepared using the ligand with the chemical formulae [Cu(C5H11N3S)2(SO4)], [Fe(C5H11N3S)2(SO4)], [Zn(C5H11N3S)2(SO4)] and [Co(C5H11N3S)2Cl2]+. The detailed preparation and characterization of the complexes has already been described in our previous manuscript (Khan et al., 2017) and summarized in Supplementary Table 1.

4

4 Results and discussion

4.1

4.1 Spectral characterization of the ligand

The 1H NMR spectrum of the ligand had signals due to CH3, CH2, NH and NH2 groups. Significant shifting in values confirmed the formation of complexes. In the proton spectrum, a triplet at δ 1.1, singlet at δ 1.9, quartet at δ 2.3 were obtained corresponding to CH3, CH3 and CH2 groups respectively. Two small singlets at δ 4.9 and 7.69 were obtained for NH and NH2 groups. The 13C spectrum of the ligand revealed signals at δ 10.70, 18.72, 31.62, 155.5 and 178.72 corresponding to CH3, CH3, CH2, C⚌N and C⚌S groups. NH and NH2 protons were most downfield. Mass spectrum of the ligand furnished a M+1 peak at 146 corresponding to its molecular weight of 145. The IR spectrum of the ligand showed a strong band at 1619 cm−1 related to the azomethine group, ν(C⚌N) (Tada et al., 2011). The strong bands at 1077 cm−1 & 772 cm−1 were assigned to ν(C⚌S) (Bindu and Kurup, 1997). λmax of the ligand (267 nm) corresponded to π-π* transition (Misner et al., 2003).

5

5 DFT analysis of the ligand

DFT is mainly used for theoretical calculations of electronic structure of a molecule. It is based on quantum mechanical semi-emperical approach for investigations. Theoretical observations may be useful for the prediction of interactions with biological macromolecules as well (Brewerton, 2008).

5.1

5.1 Frontier molecular orbital analysis

The energy gap between the highest occupied molecular orbital (HOMO) and the lowest occupied molecular orbital (LUMO) mainly governs the molecular electrical transport properties (Silverstein et al., 1981). HOMO denotes the nucleophilicity, whereas the LUMO represents the electrophilicity. They are also referred to as frontier molecular orbitals (FMOs). The HOMO and LUMO of the ligand is presented in Fig. 1. The negative value of the energy gap indicated molecular stability. Lower HOMO energy value indicated that the molecule has low electron donating ability (Barakat et al., 2015). The energy gap also predicts the intramolecular charge transfer (Padmaja et al., 2009).

HOMO-LUMO plot of ligand in isolated (gaseous) phase.
Fig. 1
HOMO-LUMO plot of ligand in isolated (gaseous) phase.

HOMO-LUMO energy gap:

HOMO = −5.3015 eV

LUMO = −0.6642 eV

HOMO-LUMO energy difference = −4.6373 eV

5.2

5.2 Optimized geometry parameters

The main aim of geometry optimization is to find a new low energy conformation of the molecule. The geometry optimization was done by B3LYP/6–31++G(d,p) method. The N4-C5 bond length was 1.287 Å indicating double bond character (Table 1) (Mary et al., 2008). Bond lengths of S1-C2 aand C2-C9 were 1.663 Å and 1.378 Å respectively indicating partial double bond character. Though the bond lengths were higher than that obtained for a pure double bond length (1.22 Å) suggesting multiple bond character (Politzer and Truhlar, 1981). The optimized structure of the ligand is presented as Supplementary Fig. 2.

Table 1 Selected optimized geometrical parameters of the ligand.
Bond length (Å) Bond angle (°) Dihedral angle (°)
S1-C2 1.663 S1-C2-N3 126.0 S1-C2-N3-N4 −4.344
C2-N3 1.376 S1-C2-N9 122.4 C2-N3-N4-C5 173.109
N3-N4 1.364 C2-N3-N4 121.6 N3-N4-C5-C6 179.204
N4-C5 1.287 N3-N4-C5 118.2 N3-N4-C5-C7 −0.722
C5-C6 1.505 N4-C5-C6 115.5 N4-C5-C7-C8 −179.54
C5-C7 1.522 N4-C5-C7 123.8
C7-C8 1.532 C5-C6-C8 116.3
C2-C9 1.378

5.3

5.3 Molecular electrostatic potential (MEP)

The electrophilic and nucleophilic sites on a molecule are predicted through MEP (Luque et al., 2000). The sites of negative potential are susceptible to nucleophilic attack whereas sites having positive potential are electrophilic. The positive electrostatic potential is shown by blue colour and depicts the area of low electron density. This is the state of repulsion of the proton by the nucleus. The negative electrostatic potential depicted by red colour shows the attraction felt by the proton towards the electron density. Potential increases in the order red < orange < yellow < green < blue. MEP diagram of the ligand (Fig. 2) showed the presence of positive region around hydrogen atoms, whereas the negative region was found around sulphur atom associated with its’ lone pair.

The MEP of Ligand, (a) 3D structure, (b) embedded 2D structure.
Fig. 2
The MEP of Ligand, (a) 3D structure, (b) embedded 2D structure.

The color range, in kcal/mol, is: red greater than 4.5, 4.5 > yellow > −11.0, −11.0 > green > −26.6 and blue < −26.6.

5.4

5.4 NMR spectral analysis (1H NMR and FT-IR)

Experimental NMR spectrum of the ligand was obtained in DMSO. The calculated and experimental chemical shifts are given in Tables 2-3. The structure was optimized in Gaussian 09. The experimental values were obtained between 1.1 and 7.69 ppm whereas the calculated values were between 1.03 and 8.03 ppm. The highest deviation was obtained for H14, 15 viz. 0.3 ppm. The 13C chemical shifts were obtained in the range 10.70–178.72 ppm experimentally. The theoretical values were between 8.70 and 180.98 ppm. The highest variation was for C6 viz. 8.5 ppm at the B3LYP level. A larger deviation is obtained for 13C chemical shifts than for 1H. 1H and 13Ccorrelation coefficients (R2) were 0.9964 and 0.9974 respectively (Supplementary Fig. 3). A higher degree of correlation was obtained between 13CNMR experimental and calculated chemical shifts (Asadi et al., 2016).

Table 2 Calculated and experimental 1HNMR 13CNMR chemical shifts ( δ / p p m ) in DMSO‑d6 for ligand.
Atom Exp. 1H NMR Calc. 1H NMR δexpcal
H-10 7.69 8.03 −0.34
H-19,20 4.82 4.74 0.08
H-11,12,13, 1.9 1.97 −0.07
H-14,15 2.3 2.00 0.3
H-16,17,18 1.1 1.03 0.07
Atom Exp. 13C NMR Calc. 13C NMR δexpcal
C-2 178.72 180.98 −2.26
C-5 155.85 154.14 1.71
C-6 31.62 23.12 8.5
C-7 18.72 21.17 −2.45
C-8 10.70 8.70 2.0
Table 3 Experimental and calculated vibrational wave numbers (cm−1) of ligand.
Modes IRUnscale IRScale IRObserv %PED
54 3689 3546 3448 [v as(N9H19)(72)- v as(N9H20)(25)]
53 3547 3410 3371 [v s(N9H19)(72)- v s(N9H20)(24)]
52 3532 3396 3251 [v(N3H10)(96)]
51 3163 3040 [v (C6H12)(88)]
50 3134 3012 [v as(C8H18)(50)- v as(C8H17)(48)]
49 3127 3006 [v(C8H16)(64)- v s(C8H17)(18)- v s(C8H18)(17)]
48 3090 2970 2973 [v as(C6H13)(52)- v as(C6H11)(47)]
47 3058 2940 2934 [v s(C8H16)(35)- v s(C8H17)(32)- v s(C8H18)(31)]
46 3039 2921 [v s(C6H11)(46)- v s(C6H13)(40)- v s(C6H12)(11)]
45 3018 2901 2906 [v as(C7H15)(50)- v as(C7H14)(48)]
44 2991 2875 2886 [v s(C7H14)(51)- v s(C7H15)(49)]
43 1702 1636 1619 [v(N4C5)(80)]
42 1640 1576 1572 [v(σ-H20N9H19)(81)]
41 1558 1497 1502 [v(σ-H10N3N4)(66)- v(N3C2)(12)]
40 1522 1463 [v(σ-H16C8H18)(44)- v(σ-H18C8H17)(23)- v(δ-H18C8C7C5)(11)]
39 1520 1461 [v(σ-H17C8H16)(43)- v(σ-H18C8H17)(25)- v(δ-H17C8C7C5)(11)]
38 1493 1435 1435 [v(σ-H13C6H12)(43)- v(σ-H12C6H11)(19)- v(δ-H12C6C5C7)(13)]
37 1489 1432 [v(σ-H15C7H14)(40)- v(σ-H11C6H13)(23)]
36 1484 1426 1420 [v(σ-H15C7H14)(30)- v(σ-H11C6H13)(26)]
35 1435 1379 1386 [v(ω-H17C8H16)(18)- v(ω-H16C8H18)(17)- v(ω-H18C8H17)(16)- v(ω-H11C6H13)(10)]
34 1433 1378 1368 [v(N3C2)(12)- v(ω-H16C8H18)(12)- v(ω-H17C8H16)(12)- v(ω-H18C8H17)(11)]
33 1409 1354 1349 [v(N3C2)(20)- v(σ-H19N9C2)(16)- v(ω-H11C6H13)(11)]
32 1366 1313 1286 [v(δ-H15C7C5C6)(28)- v(ω-H15C7H14)(17)- v(δ-H14C7C5C6)(16)]
31 1310 1259 1247 [v(σ-H14C7C8)(53)- v(γ-H15C7C5C6)(19)- v(γ-H14C7C5C6)(13)]
30 1307 1256 [v(σ-H10N3N4)(66)- v(N9C2)(52)]
29 1280 1230 1221 [v(C6C5)(27)- v(C7C5)(22)]
28 1179 1133 1107 [v(N3N4)(53)]
27 1121 1077 [v(γ-C8C7C5C6)(22)- v(γ-H18C8C7C5)(13)]
26 1103 1060 1066 [v(C8C7)(27)- v(δ-H17C8C7C5)(13)- v(δ-H18C8C7C5)(12)]
25 1059 1018 1036 [v(σ-H19N9C2)(34)- v(C8C7)(15)- v(N3C2)(13)]
24 1025 985 995 [v(δ-H13C6C5C7)(21)- v(δ-H11C6C5C7)(18)- v(C8C7)(16)]
23 1018 979 981 [v(γ-H12C6C5C7)(30)- v(γ-H14C7C8)(10)]
22 997 958 968 [v(C6C5)(13)- v(C8C7)(20)- v(δ-H18C8C7C5)(18)- v(δ-H17C8C7C5)(16)]
21 796 765 772 [v(S1C2)(36)- v(C7C5)(14)- v(σ-C5N4N3)(11)]
20 793 762 [v(γ-H16C8C7C5)(22)- v(γ-H14C7C5C6)(13)]
19 777 747 721 [v(C6C5)(23)- v(C7C5)(28)- v(S1C2)(14)]
18 640 615 [v(γ-S1N3N9C2)(71)]
17 590 567 583 [v(C6C5)(13)- v(σ-C2N3N4)(13)- v(σ-S1C2N9)(10)]
16 562 541 [v(γ-H20N9C2N3)(32)- v(σ-N9C2N3)(13)]
15 558 536 [v(γ-H20N9C2N3)(45)- v(γ-S1N3N9C2)(15)]
14 523 503 [v(γ-C7C6N4C5)(41)- v(γ-H14C7C5C6)(15)]

v  = Stretching.

ω  = Wagging.

τ = Twisting.

ρ  = Rocking.

σ = Scissoring.

γ  = Out-of-plane deformation.

δ  = In-plane deformation.

5.5

5.5 Vibrational spectral analysis

The experimental and calculated (scaled as well as non-scaled) wave numbers were observed between 400 and 4000 cm−1 and calculated PED are given in Table 3. The calculated and experimental IR spectra are given in Fig. 3. The correlation coefficient (R2) was 0.9984 showing good agreement between the calculated and experimental values (Supplementary Fig. 4). The experimental and theoretical peak of C⚌ was found at 1619 and 1639 cm−1 respectively. The experimental and theoretical C⚌S peaks were obtained at 772 and 765 cm−1 respectively (Roeges, 1994). The experimental and theoretical asymmetric νas NH vibrations were obtained at 3448 and 3546 cm−1 respectively. The experimental and theoretical symmetric νsym vibrations were obtained at 3371 and 3410 cm−1 respectively. The difference may be due to intermolecular interactions as the experimental spectrum was obtained in solid state. The stretching N-N vibration was at 1107 cm−1 and the calculated value was 1133 cm−1 (Singh et al., 2013; Gambino et al., 2007). The C–H in plane deforming vibration was observed at 1435 cm−1 experimentally and coincided with the observed value. The difference between the experimental and calculated harmonic frequencies may be due to non competent treatment of electronic correlation (James et al., 2011). A scaling factor of 0.9613 was used to scale down the calculated wave number to remove any possible harmonicity (Pople et al., 1981).

Calculated (a) and Experimental (b) IR spectrum of ligand.
Fig. 3
Calculated (a) and Experimental (b) IR spectrum of ligand.

5.6

5.6 UV–vis spectral analysis

The UV–visible spectrum of 2-butanone thiosemicarbazone was calculated using the time dependent density functional theory (TD-DFT). The spectrum was obtained both in gaseous phase as well as in solvent phase in DMSO (Fig. 4). The experimental spectrum was recorded in DMSO with the λmax obtained at 267 nm and a shoulder band (Khan et al., 2017). In gaseous phase three transitions at 303, 269 and 251 nm were obtained corresponding to π → π* charge transfer transition. The π → π* transition is mainly governed by HOMO → LUMO excitation. In solvent phase (DMSO) transitions at 305, 261 and 248 nm were obtained. The electronic transitions are presented in Table 4. Transitions involved with oscillator strength viz. f = 0.1455 and 0.1022 were not obtained experimentally. The electronic transitions were accompanied by a slight red shift in DMSO which may be attributed to electrostatic and dispersion contributions and H-bonding (Krawczyk, 2015). Solvatochromic changes also occur when polarity of the medium is changed (Zakerhamidi et al., 2012).

TD-DFT predicted UV–vis spectra in gaseous and solvent (DMSO) states.
Fig. 4
TD-DFT predicted UV–vis spectra in gaseous and solvent (DMSO) states.
Table 4 TD-DFT calculated excitations in gaseous state and solvent (DMSO) states.
Excitation energy (eV) Oscillator strength (f) Experimental wavelength (nm) Calculated Wavelength (nm) Major trasition and expansion coefficient Assignment Contribution %
Gaseous state
4.0873 0.0485 303.34 H(38) → L(40) (0.56614) π → π* 32.05
4.6003 0.1208 269.51 H(39) → L(41) (0.57411) π → π* 32.96
4.9298 0.0025 251.50 H(38) → L(41) (0.63928) π → π* 40.86
Solvent (DMSO)
4.0579 0.1455 305.54 H(38) → L(40) (0.64965) π → π* 42.20
4.7421 0.0378 267 261.45 H(39) → L(41) (0.53050) π → π* 28.14
4.9970 0.1022 248.12 H(37) → L(40) (0.53544) π → π* 28.66

5.7

5.7 Global reactivity descriptors

Hardness (η), global softness (S), electronegativity (χ), chemical potential (µ) and electrophilicity index (ω) are the global reactivity descriptors generally used to predict the stability and reactivity (Geerlings et al., 2003). The electrophilicity index describes the tendency of a molecule to accept electron. A nucleophile has a lower value of ω, whereas an electrophile has high value of ω (Babu and Jayaprakash, 2015). The value of chemical potential (μ) describes the reactivity of the compound. The greater the electronic potential, more reactive would be the compound. According to Koopman’s theorem, global reactivity descriptors are calculated using HOMO and LUMO of the FMOs (Parr and Yang, 1989). The low value of global electrophilicity index (1.9185) indicated ligand’s nucleophilic nature. The ionization energy (I) and electron affinity (A) can be predicted through HOMO and LUMO orbital energies as I = -EH and A = EL. ΔNmax defines the electrophilic charge transfer (ECT) between the two molecules. If ECT is greater than 0 then charge flows from second molecule to first. ECT is calculated from the equation- ECT = (ΔNmax)1-(ΔNmax)2, here (ΔNmax)1 = −(µ/η)1 and (ΔNmax)2 = −(µ/η)2. The ΔNmax for the reacting molecules is 1.2868 indicating that the charge flows from molecule 2 to 1 (Singh and Singh, 2015). Calculated global descriptors are given in Supplementary Table 2.

5.8

5.8 Natural bond orbital analysis (NBO)

NBO also helps in understanding the hybridization, covalent bonding, hydrogen bonding and van der Waals interaction (Glendening et al., 2001). Second order perturbation theory analysis of the Fock matrix in the NBO basis for intermolecular interactions was calculated by DFT/B3LYP/6–311++G(d,p) method is presented in Supplementary Table 3. Stable donor to acceptor interactions involve delocalization of electron density between occupied Lewis-type (bonding or lone pair) NBO’s and unoccupied (antibonding) non-Lewis NBO’s (Glendening et al., 2001). The most important interaction was related to electron donation from n(2)S1 atom to the σ*C2-N3 resulting in the maximum stabilization energy 19.08 kcal/mol.

5.9

5.9 Thermodynamic calculations

Thermodynamic energies were calculated using vibrational frequency calculations for the ligand at 298.15 K. The values of enthalpy (ΔHReaction), Gibbs free energy (ΔGReaction) and entropy change of reaction (ΔSReaction) are given in Supplementary Table 4. The negative values of ΔH and ΔG indicated that the ligand formation is exothermic and spontaneous at room temperature. The free energy of the molecule was calculated including the zero-point vibrational energy.

5.9.1

5.9.1 Non-linear optical properties

To test the non-linear optical response of the ligand, dipole moment (μ0), polarizability (α0), anisotropy of polarizability (Δα) and first hyperpolarizability (β0) were calculated at B3LYP/6–31++G (d,p) basis set level.

The calculated polarizability of the ligand (Δα) was 6.1054 × 10−23 esu and α0 and β0 were 1.3533 × 10−23 esu and 4.8098 × 10−30 esu respectively. Urea is one of the archetypal compounds known for its NLO properties (Supplementary Table 5). The β0 value of urea is 0.13x10-30 esu. The hyperpolarizability of the ligand was higher than urea.

6

6 Molecular docking studies

iGEMDOCK 2.1 is a graphical, automated software for integrated docking. For docking, protein and ligand structure files were prepared. The binding sites were defined and prepared. The set parameters were as follows: screening: population size = 800, generations = 80, number of solutions = 10. The empirical scoring function of iGEMDOCK is estimated as: Fitness = vdW + H bond + Elec where, vdW = van der Waal energy, H bond = hydrogen bonding energy, Elect = electrostatic energy

The ligand was docked with the binding site using accurate docking function (slow docking). AutoDock 4.2.6 was also used for the prediction of the binding energy. Ligand and its four complexes were docked with NADPH oxidase and MPO. Many cellular pathways and environmental conditions cause production of reactive oxygen species (ROS) (Singh and Singh, 2015). Reactive oxygen and nitrogen species are often produced by cellular enzymes such as myeloperoxidase, cytochrome P450 oxidases and NADPH oxidases (Singh and Singh, 2015) etc. Energy minimization was done by General AMBER force field (GAFF). Against NADPH [Fe(C5H11N3S)2SO4] possessed minimum energy viz. −105.60 kcal/mol and −6.9 kcal/mol. Against MPO also [Fe(C5H11N3S)2SO4] showed minimum binding energies −116 and −7.3 kcal/mol as predicted by the two softwares. The docking poses of Fe complex are shown as Fig. 5 (a,b). Docking interactions are given in (Supplementary Tables 6–7 and Fig. 5-6).

Docking poses of [Fe(C5H11N3S)2(SO4)] with (a) NADPH and (b) MPO.
Fig. 5
Docking poses of [Fe(C5H11N3S)2(SO4)] with (a) NADPH and (b) MPO.

6.1

6.1 Free radical scavenging activity

The free radical scavenging activity of all the synthesized metal complexes was evaluated by DPPH Assay (Scherer and Godoy, 2009). The antioxidant activity was tested at 10, 50, 80 and 100 µM concentration. The absorbance was measured at 517 nm. Lower the absorbance, higher would be the free radical scavenging activity. The scavenging the DPPH radical was calculated by using the following formula: DPPH scavenging effect % inhibition = A c - - A s / A c × 100 ] where, Ac = absorbance of the control reaction (DPPH solution) and

 As = absorbance of the complexes

Uncontrolled generation of ROS causes redox imbalance and oxidative stress harmful for many diseases including cancer and neurological disorders. The antioxidant activity is summarized in Table 5. [Fe(C5H11N3S)2(SO4)] showed maximum antioxidant activity viz. 81.70% followed by [Co(C5H11N3S)2Cl2]+ (77.15%).

Table 5 Percentage scavenging ability of complexes.
Complex 10 µM/mL 50 µM/mL 80 µM/mL 100 µM/mL
[Cu(C5H11N3S)2SO4] 67.55 68.13 68.13 72.61
[Fe(C5H11N3S)2SO4] 72.61 73.16 77.80 81.70
[Zn(C5H11N3S)2SO4] 64.43 64.89 64.89 73.55
[Co(C5H11N3S)2Cl2]+ 67.85 70.04 74.60 77.15

7

7 Future scope of the study

The study has elaborated the use of DFT technique for the prediction of molecular structure and prediction of important properties of the compound. The potential NLO properties of the ligand may be explored further for its use in optical devices. Furthermore, the potential antioxidant activity of the complexes can also be useful for the development of antioxidant drugs.

8

8 Conclusion

2-butanone thiosemicarbazone was synthesized and characterized by 1H and 13C NMR, FT-IR, UV–Vis and mass spectroscopic techniques. The experimental data was validated using DFT generated theoretical data. DFT analysis mainly correlates electronic structure of compound long with various parameters such as HOMO-LUMO, MEP, spectral as well as chemical reactivity analysis. It also explains internal hydrogen bonding along with other interactions. On the other hand, docking analysis provides information about the interaction of a lead compound with the target proteins. HOMO-LUMO energy gap illustrates the chemical stability which is an important decisive factor for the prediction of the reactivity of a molecule. The FMO analysis predicted that the molecule is stable. The low value of global electrophilicity index (1.9185) indicated its’ nucleophilic nature. In solvent phase the λmax values experienced a slight red shift. In case of NMR, a larger deviation was obtained for 13C chemical shifts than for 1H. The antioxidant activity of four complexes of the ligand was tested using DPPH assay. Fe complex was found to possess maximum antioxidant potential followed by Cu complex. Molecular docking studies showed that the Fe complex released the minimum binding energy. The docking results were further validated by the experimental results of the antioxidant activity.

Acknowledgements

The authors are thankful to Mr. Mohsin Ali Khan, Chancellor, Era’s University, Lucknow, for extending the necessary facilities and co-operation for carrying out in silico studies and biological activity evaluation. The authors are also thankful to the R&D wing of Integral University, Lucknow, for allotting the communication number (IU/R&D/2018-MCN000260) to the manuscript. Dr.Mohammad Azam is thankful to the support through Researchers Supporting Project number (RSP-2020/147), King Saud University, Riyadh, Saudi Arabia.

Declaration of Competing Interest

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Funding

This research did not receive any specific grant from any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.

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Appendix A

Supplementary data

Supplementary data to this article can be found online at https://doi.org/10.1016/j.jksus.2020.101313.

Appendix A

Supplementary data

The following are the Supplementary data to this article:

Supplementary data 1

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