Abstract
COVID-19 disease caused by the severe acute respiratory syndrome coronavirus (SARS-CoV-2) has struck the whole world and raised severe health, economic, and social problems. Many scientists struggled to find a vaccine or an antiviral drug. Eventually, both vaccines and recommended drugs, repurposed drugs, or drug combinations were found, but new strains of SARS-CoV-2 continue to threaten human life and health. As part of the fight against COVID-19 disease, this study involves an in silico molecular docking analysis on the main protease (Mpro) of SARS-CoV-2. To this aim, a Schiff base compound was synthesized and characterized using spectroscopic techniques, including X-ray, FTIR, and UV-Vis. Surface analysis and electronic properties of this molecule were investigated using the DFT method. The drug-likeness parameters of the title compound were studied according to the rules of Lipinski, Veber, Ghose, Egan, and Muegge and were found in agreement with these rules. In silico toxicity analyses revealed that the new compound is a potentially mutagenic and carcinogenic chemical. The title compound was predicted to be an inhibitor of cytochrome P450 enzymes (5 CYPs). This inhibitory effect indicates a weak metabolism of the molecule in the liver. In addition, this compound was displayed good intestinal absorption and blood-brain barrier penetration. The druggability properties of the title compound were investigated, and SwissTargetPrediction predicted it to be a protease inhibitor. In this context, the SARS-CoV-2 main protease was selected as a biological target in molecular docking studies. Docking results were compared with the known native ligand N3 inhibitor. The value of binding energy between the Schiff base compound and the binding pocket of the main protease is higher than that of the reference ligand N3. The calculated free energies of binding of the Schiff base compound and the reference ligand N3 are −8.10 and −7.11 kcal/mol, respectively.
Keywords: Schiff base, SARS-CoV-2, ADMET, X-ray, COVID-19, main protease (Mpro)
1. Introduction
So far, seven coronaviruses, including HCoV-229E, HCoV-NL63, HCoV-OC43, HCoV-HKU1, SARS-CoV, MERS-CoV, and SARS-CoV-2, have been detected in humans. In late December 2019, COVID-19 disease related to the latest one, SARS-CoV-2, was reported for the first time in Wuhan, China [1,2]. The novel virus of 2019 was initially named 2019-nCoV by WHO. On February 11, 2020, the International Committee on Taxonomy of Viruses renamed the virus as severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) based on phylogenetic analysis [3]. In March 2020, the disease was declared a global pandemic because it has spread to over 100 countries [4]. As of December 4, 2021, the most recent data show that SARS-CoV-2 has caused 263,563,622 cases and 5,232,562 deaths worldwide [5] (Access date: December 04, 2021).
Clinical symptoms in pediatrics are usually absent or mild [6]. In adults, symptoms can range from moderate symptoms to severe health problems such as cough, fever, headache [7–10], dyspnea [8–10], myalgia [8, 9], tiredness, loss of taste or smell, aches, cold, discoloration of fingers or toes, breathing difficulties to dysfunction of organs [7], pneumonia [8, 9], acute respiratory distress syndrome (ARD), kidney failure, coagulation abnormalities, sepsis [9], multiple organ failure [8], cytokine storm [11]. At the beginning of the pandemic, when there was no FDA-approved vaccine, using various repurposed drugs or their combinations, including chloroquine, remdesivir [12–14], ribavirin [12, 13], galidesivir, tenofovir, sofosbuvir [12], favipiravir, lopinavir, hydroxychloroquine, oseltamivir, arbidol, interferons, ritonavir [13,14] methylprednisolone, bevacizumab, human immunoglobulin [14], darunavir, cefpiramide, tocilizumab [13] was recommended for the treatment of COVID-19. On August 23, 2021, the first COVID-19 vaccine, Pfizer-BioNTech’s vaccine, received full FDA approval [14].
The main protease (Mpro) of SARS-CoV-2, also known as 3C-like protease (3CLpro) [15], plays a pivotal role in viral replication and maturation, and has been reported as a valuable target for drug development against COVID-19 [16,17]. The monomeric structure of Mpro consists of 306 amino acids and three domains, including N-terminal domain-I (8–101 residues), N-terminal domain-II (102–184 residues), and C-terminal domain-III (201–306 residues) [16, 18]. HIS 41 and CYS 145 are catalytic dyads in the main protease [16, 19, 20], and they play an important role in protease activity [20, 21]. Therefore, inhibition of the catalytic dyad in 3CLPro may be a rational target for anti-CoV drug development [22].
Some authors have examined the inhibitory effect of Schiff base ligands on SARS-CoV-2 main protease (Mpro) using molecular docking methods [19, 23–26]. They found the binding energy of Mpro-ligand complexes between −5.88 and −9.10 kcal/mol. In this study, a new imine compound was synthesized. The molecular structure was determined by spectroscopic methods, including X-ray, FTIR, and UV-Vis. The electronic properties, surface characterization, and intermolecular interactions were calculated using the DFT and other techniques. In silico drug-like nature of the title compound was determined using the online in silico web tools. Druggability studies indicated that the title compound is most likely a protease inhibitor. In this sense, the SARS-CoV-2 main protease (Mpro) was selected as a biological target for the title compound in molecular docking experiments. Docking studies showed that the title compound had higher binding energy (−8.10 kcal/mol) against SARS-CoV-2 than the native N3 inhibitor (−7.11 kcal/mol).
2. Experimental
2.1. Materials and method
Chemicals: 5-nitro-2-(piperidin-1-yl)benzaldehyde; 2-methoxyaniline; ethanol/Sigma Aldrich.
Apparatus: Merck TLC plates/thin layer chromatography; CAMAG-UV cabinet/visualization; Stuart SMP 30/melting point; Precisa balance/weighing; Heidolph magnetic stirrer/heating.
Spectrometers: Perkin-Elmer/FT-IR; Thermo Fisher Scientific/UV-Vis; Stoe IPDS II [27]/X-ray.
X-ray and computational analysis: SHELXT [28], SHELXL [29]/solving and refinement; PublCIF [30]/CIF file; Gaussian 03 [31]/DFT [32] and B3LYP/6-31G (d, p) level of theory [33, 34]/frontier molecular orbitals, electrostatic potential map, Mulliken charges, geometrical parameters; Crystal Explorer [35]/Hirshfeld surfaces and fingerprint plots; Mercury [36]/crystal packing and intermolecular interactions.
Docking and druglike nature: AutoDock4 and AutoDockTools4 [37]/molecular docking; PDB [38]/3D structure of protein-ligand complex; PLIP [39]/secondary interactions and species; SwissADME [40]/pharmacokinetics, drug-likeness, and medicinal chemistry; PPB [41]/multitarget identification; ProTox-II [42] and pkCSM [43]/toxicity properties.
2.2. Synthesis
The synthesis reaction of the (E)-N-(2-methoxyphenyl)-1-(5-nitro-2-(piperidin-1-yl)phenyl)methanimine compound is given in Scheme 1. First, a mixture of 5-nitro-2-(piperidin-1-yl)benzaldehyde (11 mg, 0.047 mmol) and 2-methoxyaniline (5.8 mg, 0.047 mmol) was dissolved in ethanol (25 mL) and the reaction temperature of the mixture was raised to the reflux temperature. The mixture was periodically analyzed by the thin-layer chromatography (TLC) using hexane: ethyl acetate (95:5) mobile phase to understand whether the reaction was completed. After the reactant plots disappeared in TLC, 22 h later, the reaction was completed. The solution was filtered and cooled at room temperature. The solvent was vaporized by the slow evaporation method in eight days. The yellow crystals were used for the whole analysis process. Melting point: 141–143 ºC. Yield: 85% (9.35 mg). C19H21N3O3. Molecular weight: 339.39 g/mol. FTIR (attenuated total reflectance, ATR), ν/cm−1: 3099, 3079 (Ar C-H); 2986, 2968, 2941, (Al C-H); 2900 (CH=N); 1681 (C=N); 1675, 1596, 1499, 1481 (Ar C=C); 1500, 1324 (NO2); 1248, 1232, 1063 (C-N); 1126, 1074 (C-O); 1025, 943, 910, 855, 828, 817, 765, 752, 715, 639, 517 (Figure S1). UV-Vis (in EtOH, 1.57 x E-04 M), λmax nm (logɛ): 361 (3.86) (Figure S2).
Scheme 1.
The synthesis reaction of the title compound.
3. Results and discussion
3.1. Crystallographic, structural and geometrical parameters
Single-crystal X-ray diffraction data for the synthesized compound were collected using a STOE IPDS II diffractometer. Graphite monochromated MoKα radiation (λ = 0.7073 Å) was used for the measurements. The X-RED32, SHELXT, and SHELXL programs were used for cell refinement, structure solving, and refinement, respectively. The title compound with a molecular formula C19H21N3O3 and name (E)-N-(2-methoxyphenyl)-1-(5-nitro-2-(piperidin-1-yl)phenyl)methanimine is a small molecule with azomethine structure, yellow color, and prism-shape. It has space group P21/n and is crystallized in a monoclinic crystal system. As expected from this crystal system, three axes in the unit cell have unequal lengths: a ≠ b ≠ c (Å) = 10.1685, 13.3628, 13.416. The unit cell contains four monomeric molecules (Figure 1a). The symmetry operators of the crystal show that the structure is centrosymmetric; consequently, it is a nonlinear optical (NLO) inactive material. The geometric dimensions of the crystal selected for structure determination are 0.71 × 0.48 × 0.24 mm3. More information on the X-ray analysis and structural parameters can be seen in Table S1, which also lists the other crystal parameters. When we examine the molecule for its structural composition, we can identify four different molecular groups: anisole (green ring and -OCH3), C7H7O; nitrobenzene (purple ring and -NO2), C6H3NO2; piperidinyl (orange ring), C5H10N; and azomethine (cyan circle), CH=N. The azomethine group in the structure was bonded to the benzene rings, which have electron-withdrawing (NO2) and electron-donating (OCH3) substituents (Figure 1b and 1c). These substituents have a positive effect on the synthesis reaction by facilitating the condensation between amine and aldehyde reactants (through inductive and mesomeric effects). The calculated and measured bond lengths, bond angles, and dihedral angles are listed in Tables S2–S4, respectively. We have listed some important values here. Bond lengths (measured-calculated max/min.): Ar. C=C: 1.427–1.425 (C6-C5)/1.378–1.386 (C4-C3); Al. C-C: 1.517–1.530 (C12-C11)/1.529–1.533 (C11-C10); C-N: 1.479–1.478 (C12-N2)/1.406 (C5-N2)–1.400 (C13-N3); C7=N3: 1.277/1.282; 01-N1: 1.235/1.231; N1-O2: 1.230/1.233; C-O: 1.429–1.421 (C19-O3)/1.382–1.371 (C18-O3). Bond angles (measured/calculated): O1-N1-O2: 117.6/117.9; C7-N3-C13: 123.9/123.5; C6-C7-N3: 119.7/120.3; C1-C2-C3: 121.3/121.3; C9-C10-C11: 109.0/110.1.
Figure 1.
The unit cell viewing (a) numbering of the atoms in capped stick model (b) the secondary intermolecular interaction places and bond lengths (c) of the title compound.
3.2. Molecular electrostatic potential and Mulliken atomic charges
Molecular electrostatic potential (MEP) is a 3D mapping of the whole electron density in a molecule. It is a powerful method for determining the nucleophilic and electrophilic attack regions of a molecule. In MEP, the distribution of electrons is represented by colors. The color distribution can change in a red-blue gradient. The red regions show the most negative electrostatic potential. The blue regions show the most positive, and the green regions show the zero electrostatic potential in a molecule. While the red atoms, group of atoms, or regions are open to electrophilic attack, the blue regions are open to nucleophilic attack. The MEP map for our compound was calculated at the B3LYP/6-31G (d, p) level of theory and shown in Figure 2 with the three mapping models. As can be seen in Figure 2, the red regions spread over the oxygen atoms of the nitro group, and there are no dark blue regions showing strong nucleophilic attack positions in the molecule. The cyan regions were slightly gathered on the piperidinyl (C6H5N) ring and methyl (-CH3) group, and therefore, these regions can be evaluated as weak nucleophilic attack positions, while the oxygens atoms of the nitro group can be evaluated as strong electrophilic positions. The other positions of the molecule are green, have zero electrostatic potential; thus, these regions are not reactive. When the Mulliken charges of the title compound (Figure 3) were examined, the five atoms with the most negative and positive charges can be listed as follows: O3 (−0.565) > N2 (−0.557) > N3 (−0.488) > O2 (−0.407) > O1 (−0.405) and N1 (0.364) > C18 (0.330) > C5 (0.269) > C2 (0.237) > C13 (0.197).
Figure 2.
Molecular electrostatic potential map of the title compound.
Figure 3.
Mulliken atomic charge distribution map of the title compound: with numbered style (left), with colored style (right).
3.3. Molecular orbital analysis and global reactivity descriptors
The highest occupied molecular orbital (HOMO) and the lowest unoccupied molecular orbital (LUMO), also called frontier molecular orbitals (FMOs), are the most critical orbitals in a molecule. The HOMO is an electron donor, while the LUMO is an electron acceptor. The energy of these orbitals and frontier orbital gap (or energy gap) plays a vital role in determining the chemical reactivity, kinetic stability [44–46], and electrical, optical, and physical properties [47] of a molecule. The global reactivity descriptors, including electron affinity, chemical hardness and softness, electronegativity, chemical potential, electrophilicity index, and charge transfer index can also be calculated using the energy values of these orbitals. The small energy gap between HOMO and LUMO indicates high chemical reactivity, low stability, softness [48], and easy charge transfer [49]; the large energy gap indicates low chemical reactivity, high kinetic stability [50], hardness [51], and hard charge transfer [49]. To investigate the above properties, we examined the FMOs of the compound in the gas phase. The calculations were performed at the B3LYP/6-31G (d, p) level of theory. HOMO-LUMO orbitals of the studied compound are shown in Figure 4. HOMO orbitals spread over all surfaces of the molecule except for some methylene groups in the piperidinyl ring; LUMO orbitals spread over imine, nitrobenzene, and nitrogen in the piperidinyl ring. Global reactivity descriptors were calculated using the HOMO and LUMO energies and are listed in Table 1. For the title molecule, the energy values of the HOMO, the LUMO, and the energy gap were found to be −5.629, −2.053, and 3.576 eV, respectively. Other global reactivity parameters can be seen in Table 1. The molecule has the smallest value of the energy gap among the similar studies we have performed previously [52–54]. From the calculated results, we can draw these conclusions about our compound: (i) The lowest value of the frontier orbital gap of the title molecule among the similar compounds [52–54] indicates that the molecule has high chemical reactivity, low chemical and kinetic stability, easy charge transfer, high polarizability, and softness. (ii) A high electrophilicity index (4.125) indicates a high electrophilic nature and good biological activity, while a relatively high softness value (0.279) indicates an increased probability of toxicity [55]. (iii) The effect of HOMO, LUMO, and energy gap values of the compounds on biological activity has been reported [56]. Low values of energy gap and LUMO lead to increased biological activity. This is due to the low energy required for electronic excitation and the strong charge transfer interaction between donor and acceptor atoms [57–59].
Figure 4.

HOMO, HOMO-1, LUMO, LUMO+1 orbitals, energy values of the orbitals and band gaps of the title compound.
Table 1.
Calculated global reactivity descriptors.
| Parameters | Values (eV) |
|---|---|
| EHOMO | −5.629 |
| ELUMO | −2.053 |
| Energy band gap (ΔE = ELUMO−EHOMO) | 3.576 |
| Ionization potential (I = − EHOMO) | 5.629 |
| Electron affinity (A = − ELUMO) | 2.053 |
| Chemical hardness (η = (I−A)/2) | 1.788 |
| Chemical softness (σ = 1/2η) | 0.279 |
| Electronegativity (χ = (I+A)/2) | 3.841 |
| Chemical potential (μ = −(I+A)/2) | −3.841 |
| Electrophilicity index (ω = μ2/2η) | 4.125 |
| Maximum charge transfer index (ΔNmax = −μ/η) | 2.148 |
3.4. Hirshfeld surfaces and fingerprint analysis
To learn about the intermolecular interaction species in the molecule and their quantitative contributions, we performed Hirshfeld surface and 2D fingerprint analyses. For the above purpose, Crystal Explorer 17.5 software requires the CIF file of the compound. The calculated Hirshfeld surfaces of the title compound are shown in Figure 5 in six different maps, including dnorm, di, de, fragment patch, curvedness, and shape index. In the dnorm mapped surface, red dots show the interaction distance shorter than the sum van der Waals (vdW) radii of two atoms. White regions show the close interactions to the vdW radii, and finally, the more extended contacts from the sum of vdW radii are represented by blue areas [60]. On the dnorm surface, the bright red spot is on the O2 atom, indicating the presence of hydrogen bonding at this atom. Fingerprint plots showing the percentage contributions of each interaction type are shown in Figure 6 (If the contribution is greater than or equal to 1%). The largest contribution to the percentage of secondary interactions is the hydrogen···hydrogen (50.8%) interaction, a type of vdW force. The second largest contribution is the hydrogen bonding interactions between oxygen and hydrogen (20.2%). The other contributors are C···H (14.7%), C···C (6.1%), and N···H (5.8%).
Figure 5.
The title compound (middle) and its Hirshfeld surfaces (around).
Figure 6.
Intermolecular interactions and their relative contributions with the fingerprint plots (showed only bigger than 1% ones).
3.5. Docking studies
Docking experiments were performed on the active residues of the SARS-CoV-2 main protease to determine the inhibitory activity of the synthesized compound. The 3D crystal structure of the main protease with the native N3 inhibitor (PDB entry: 6LU7 [61]) was retrieved from the RSCB PDB website (https://www.rcsb.org/). Before the docking experiments, the protein and ligand structures were prepared by removing water, adding polar hydrogens, merging nonpolar hydrogen atoms, and adding charges using the AutoDock and Autodock tools. The grid box has centered on the active residues [62], and the grid dimensions are given in Figures 7 and S3. The docking experiments were performed using the Lamarckian genetic algorithm. In the docking experiments, we used a semiflexible docking method (rigid target/flexible ligand).
Figure 7.
The active sites in the grid box and grid box settings.
N3 is a peptidomimetic inhibitor of the main protease of SARS-CoV and SARS-CoV-2 [61,63]. It was used for comparison in this study. Both the native ligand N3 inhibitor and query compound were docked to the active sites of the target protein. Docking results of the title compound, including binding modes, interacting residues, and binding free energy, are given in Figure 7. The docking experiment was repeated ten times for the title compound. Docking scores were determined with a standard deviation of 0.057. The median value of the docking experiments was determined and accepted as the final docking score (−8.10 kcal/mol). The ligand efficiency was found to be −0.32. The calculated docking parameters for ten docking experiments are shown in Figure S4. The most stable conformations of the reference N3 inhibitor and query compound (Figure 8a), the top ten conformations produced in the active pocket of SARS-CoV-2 main protease (Figure 8b), and the whole protein surface, including the reference molecule and query compound (Figure 8c), were shown in Figure 8. According to the docking results, the query compound has higher binding energy than the reference N3 inhibitor. In our study, the binding energies of the native ligand N3 and the query compound were calculated to be −7.11 and −8.10 kcal/mol, respectively. Query compound is bound to the target protein via both hydrophobic interactions (LEU167: 3.91 Å, GLN192: 3.67 Å, GLN189: 3.33 Å) and hydrogen bond (TYR54: 2.11 Å) (Figure 9). We compared the results of our study with those of the other studies (Table 2). For Mpro (3CLpro) of SARS-CoV-2, the studies listed in Table 2 show the chemical class studied against Mpro, common functional groups with our compound, software, docking scores, and interaction status with the catalytic dyad of Mpro. Although our docking score is high, no interaction with the catalytic dyad of Mpro was detected in our complex interactions. Therefore, the title compound may not provide the desired inhibitory effect on the Mpro of SARS-CoV-2.
Figure 8.
Docking positions of the reference N3 and query compound (a), ten positions produced of query compound in the active site of Mpro (b), the whole surface viewing of Mpro (c).
Figure 9.
Docking position of the title compound in the active site of Mpro, and the secondary interaction species formed with the active residues.
Table 2.
Comparative docking studies performed with Mpro (3CLpro) of SARS-CoV-2.
| PDB ID | Compound class | Compound code with the highest docking score | Common groups with the title compound | Software | Docking score (kcal/mol) | Interaction with the catalytic dyad | |
|---|---|---|---|---|---|---|---|
| Our study (S0) | 6LU7 | Schiff base | Title compound | Aromatic ring, alicyclic ring, imine group, nitro group, methoxy group, and tertiary amine | AutoDock | −8.10 | No |
| S1 [94] | 6LU7 | Coumarin derivatives | 10a | Two aromatic rings | Autodock and AutoDock Vina | −7.0 and −8.6 | Yes |
| S2 [95] | 7BQY | Coumarin derivatives | 14 | Aromatic ring and imine group | MOE | −7.47 | Not reported |
| S3 [96] | 6LU7 | Crinipellin and Alliacol-B derivatives | Compound 5 | One alicyclic ring | AutoDock | −7.3 | No |
| S4 [97] | 6LU7 | Azo-imidazole derivatives | L5 | Methoxy, two aromatic rings, imine group | AutoDock Vina | −8.1 | Yes |
| S5 [98] | 7BQY | Schiff bases | ZG-7 | Not reported | MOE | −8.79 | Not reported |
3.6. Druglike nature, medicinal chemistry and druggability
We examined some essential physical and biological parameters in medicinal chemistry using the SwissADME [40] web tool developed by the Swiss Institute of Bioinformatics. These parameters compose of six sections (Table 3), including physicochemical properties, lipophilicity, solubility, pharmacokinetics, drug-likeness, and medicinal chemistry. Druggability predictions (Figure 10) of the title compound to determine the biological targets were performed using SwissTargetPrediction [64]. In Table 3, the pink-colored area of the polygon on the left shows the suitable physicochemical space for oral bioavailability, the white area shows the unsuitable space, and the red lines sign out the position of our compound in the whole space. This hexagon is related to lipophilicity (LIPO), size (SIZE), polarity (POLAR), solubility (INSOLU), unsaturation (INSATU), and flexibility (FLEX) and is calculated by using appropriate domain borders of parameters, including XLOGP, molecular weight, topological polar surface area (TPSA), Log S, fraction of sp3, and number of rotatable bonds, respectively. As it can see from the red outline of the polygon, our compound has settled in the range suitable for oral bioavailability. When the BOILED-Egg model of the title molecule is examined from Figure 11, it can see that the molecule has a good intestinal absorption and can cross the blood-brain barrier. Cytochrome P450 enzyme families (CYPs) influence the pharmacokinetics of a drug. We investigated 5 CYPs, including CYP1A2, CYP2C19, CYP2C9, CYP2C6, and CYP3A4, which are related to the 80% of the metabolism of drugs in clinical use [65]. According to the predictions, the title compound is a potential CYPs inhibitor for five CYPs. This inhibitory effect means that our compound as a drug molecule candidate suppresses CYPs enzyme activity and decreases the metabolic rate in human liver, so the pharmacokinetic properties might not reach the desired efficiency.
Table 3.
Some calculated drug-like properties of the title compound.
|
|
||
|---|---|---|---|
| Physicochemical properties | Pharmacokinetics | ||
| Formula | C19H21N3O3 | GI absorption | High |
| Molecular weight | 339.39 | BBB permeant | Yes |
| Num. heavy atoms | 25 | P-gp substrate | No |
| Num. arom. heavy atoms | 12 | CYP1A2 inhibitor | Yes |
| Fraction Csp3 | 0.32 | CYP2C19 inhibitor | Yes |
| Num. Rotatable bonds | 5 | CYP2C9 inhibitor | Yes |
| H-bond acceptors | 4 | CYP2D6 inhibitor | Yes |
| H-bond donors | 0 | CYP3A4 inhibitor | Yes |
| Molar reactivity | 104.90 | Log Kp (skin permeation) | −5.54 cm/s |
| TPSA | 70.65 Å2 | ||
| Lipophilicity | Drug-likeness | ||
| Log Po/w (İLOGP) | 3.05 | Lipinski | Yes, 0 violation |
| Log Po/w (XLOGP) | 3.99 | Ghose | Yes |
| Log Po/w (WLOGP) | 3.96 | Veber | Yes |
| Log Po/w (MLOGP) | 2.07 | Egan | Yes |
| Log Po/w (SILICOS_IT) | 2.29 | Muegge | Yes |
| Consensus Log Po/w | 3.07 | Bioavailability score | 0.55 |
| Medicinal chemistry | |||
| PAINS | 1 alert: anil_di_alk_A | ||
| Brenk | 3 alerts: imine_1, nitro_group, oxygen-nitrogen_single bond | ||
| Leadlikeness | No, 1 violation: XLOGP > 3.5 | ||
| Synthetic accessibility | 2.98 | ||
| Water solubility | |||
| Log S (ESOL) | −4.48 | ||
| Solubility | 1.12 × E-02 mg/mL; 3.29 × E-05 mol/L | ||
| Class | Moderately soluble | ||
| Log S (Ali) | −5.18 | ||
| Solubility | 2.27 × E-03 mg/mL; 6.68 × E-06 mol/L | ||
| Class | Moderately soluble | ||
| Log S (SILICOS-IT) | −5.21 | ||
| Solubility | 2.11 × E-03 mg/mL; 6.21 × E-06 mol/L | ||
| Class | Moderately soluble | ||
Figure 10.
Druggability prediction results supplied from SwissTargetPrediction tool.
Figure 11.
Representation of the toxicity results with the radar chart.
Drug-likeness was derived from the structures and properties of existing drugs and drug candidates. Before drug discovery, it is important to filter out unsuitable compounds [66]. This term was defined by Lipinski as meeting some proposed criteria for drug candidates [67]. Lipinski states that poor absorption and permeation are more likely in the following situations: i) Molecular weight is higher than 500. ii) LogP value is higher than 5. iii) Hydrogen bond acceptors are higher than 10. iv) Hydrogen bond donors are higher than 5 [68]. After Lipinski, different rules for drug-likeness were given by Ghose (160 ≤ MW ≤ 480; −0.4 ≤ WLOGP ≤ 5.6; −40 ≤ MR ≤ 130; 20 ≤ atoms ≤ 70) [69]; Veber (Rotatable bonds ≤ 10; TPSA ≤ 140) [70]; Egan (WLOGP ≤ 5.88; TPSA ≤ 131.6) [71]; Muegge (200 ≤ MW ≤ 600; −2 ≤ WLOGP ≤ 5; TPSA ≤ 150; number of rings ≤ 7; number of carbons > 4; number of heteroatoms >1; rotatable bonds ≤ 15; hydrogen bond acceptor ≤ 10; hydrogen bond donor ≤ 5) [72]. According to the mentioned rules, our molecule does not violate the above drug-likeness rules. We also investigated druggability predictions for our compound. The calculation results (Figure 10) show that our compound can inhibit the following enzyme classes in the top 15 lists: protease, kinase, phosphodiesterase, family A G protein couplet-receptor, oxidoreductase, voltage-gated ion channel, and cytochrome P450.
3.7. Potential multitarget identification with fingerprint methods
To improve the information about the bioactivity properties of our compound, we used a web server, the polypharmacology browser (PPB), www.gdb.unibe.ch. This web server is used to identify potential targets of a compound based on six different fingerprints and some combinations. The results of PPB are given according to the various algorithms: atom pair fingerprint (APfp), extended atom pair fingerprint (Xfp), molecular quantum numbers (MQN), scalar fingerprint counting the occurrence of characters in SMILES (SMIfp), (SMIfp), substructure fingerprint (Sfp), and extended connectivity fingerprint (ECfp4). APfp works with molecular shape; Xfp perceives pharmacophores; MQN perceives atoms, bonds, polarity, ring features, constitution, topology, and molecular shape; SMIfp uses rings, aromaticity, and polarity; Sfp works with the detailed substructures; ECfp4 uses the combination of detailed substructures and pharmacophores [41]. We tabulated the top 20 targets selected by the six fingerprinting algorithms for our compound. The results were ordered by the calculated cumulative density (p-values) for each target in Table 4. The red hexagon in this table indicates that the specified fingerprint algorithm did not find a target; the green hexagon indicates a lower p-value (from 0.01 to 0) and a lower probability for the target; the blue hexagon indicates potential targets for which the p-value is greater than 0.01. Provided that the estimated p-value is greater than 0.01, we indicate the exact p-values. The ChEMBL-ID and common names of the targets, and the explanation of each target are listed in Table 4. The results show that our compound has a similar fingerprint to the molecules with the indicated number on the right side of Table 4, which have strong biological activity on the indicated targets in the ChEMBL database. These targets can cause various diseases, such as malaria: Plasmodium falciparum/ChEMBL364 [73]; cancer: EHMT2/ChEMBL6032 [74]: GMNN/ChEMBL1293278 [75], ALD1AH1/ChEMBL3577 [76]; diabetes: HLP1R/ChEMBL1784 [77]; multiple sclerosis: RORC/ChEMBL1293231 [78, 79], Alzheimer’s disease: MAPT/ChEMBL1293224 [80]; spinocerebellar ataxia: ChEMBL1795085/ATXN2 [81]; HIV-1 infection: APOBEC3G/ChEMBL1741217 [82], APOBEC3F/ChEMBL2007626 [83]; laminopathies: LMNA/ChEMBL1293235 [84]; glioblastomas, chondrosarcomas, and acute myeloid leukemias (AML): IDH1/ChEMBL2007625 [85, 86]; LDL-derived cholesterol, Nieamann-Pick disease type C, and Ebola virus infection: NPC1/ChEMBL1293277 [87]; liver cancer: RAB9A/ChEMBL1293294 [88]. Our compound could interact with the listed targets as a potential ligand molecule and act as an inhibitor against target-related diseases mentioned above.
Table 4.
The potential targets of the title compound calculated by PPB.
| Rank | ChEMBL-ID | ChEMBL-name | APfp | Xfp | MQN | SMIfp | Sfp | ECfp4 | No of mols |
|---|---|---|---|---|---|---|---|---|---|
| 1 | ChEMBL364 | ORGANISM_NOGN |
0.233 |
0.113 |
|
0.032 |
0.236 |
0.036 |
16 |
| 2 | ChEMBL6032 | EHMT2 |
0.533 |
0.114 |
|
0.117 |
0.233 |
0.025 |
11 |
| 3 | ChEMBL1784 | GLP1R |
|
0.109 |
|
0.030 |
0.207 |
0.021 |
17 |
| 4 | ChEMBL1293278 | GMNN |
|
0.119 |
|
0.032 |
0.234 |
0.013 |
19 |
| 5 | ChEMBL1293231 | RORC |
0.264 |
0.109 |
|
0.105 |
|
0.065 |
6 |
| 6 | ChEMBL1741220 | BAZ2B |
|
0.241 |
|
0.06 |
0.232 |
0.013 |
5 |
| 7 | ChEMBL1293224 | MAPT |
0.504 |
|
|
0.083 |
0.160 |
0.018 |
9 |
| 8 | ChEMBL1795085 | ATXN2 |
|
0.301 |
0.262 |
0.108 |
0.297 |
18 |
12 |
| 9 | ChEMBL1741209 | ATAD5 |
0.523 |
|
0.012 |
|
|
0.028 |
12 |
| 10 | ChEMBL614818 | CELL-LINE_NOGN |
0.556 |
0.121 |
|
0.032 |
|
|
11 |
| 11 | ChEMBL1741217 | APOBEC3G |
|
0.079 |
|
|
|
0.012 |
13 |
| 12 | ChEMBL1293235 | LMNA |
|
|
|
0.092 |
|
0.029 |
8 |
| 13 | ChEMBL4377 | GNAS |
|
0.111 |
|
0.035 |
|
0.030 |
5 |
| 14 | ChEMBL614358 | CELL-LINE_NOGN |
|
0.018 |
|
|
|
|
11 |
| 15 | ChEMBL1293258 | SMAD3 |
|
|
0.011 |
|
|
|
2 |
| 16 | ChEMBL2007625 | IDH1 |
|
0.109 |
|
|
|
|
12 |
| 17 | ChEMBL3577 | ALDH1A1 |
|
0.264 |
|
|
0.199 |
|
3 |
| 18 | ChEMBL1293277 | NPC1 |
0.439 |
0.234 |
0.054 |
0.078 |
|
0.081 |
4 |
| 19 | ChEMBL1293294 | RAB9A |
0.465 |
0.286 |
0.059 |
|
|
0.083 |
4 |
| 20 | ChEMBL2007626 | APOBEC3F |
|
|
|
|
|
|
6 |
|
Target not found by fingerprint. | ||||||||
|
p-value stretching from 0.01 to 0. | ||||||||
|
p-value > 0.01. | ||||||||
ORGANISM_NOGN: Plasmodium falciparum; EHMT2: Histone-lysine_N-methyltransferase_H3_lysine-9_specific_3; GLP1R: Glucagon-like_peptide_1_receptor; GMNN: Geminin; RORC: Nuclear_receptor_ROR-gamma; BAZ2B: Bromodomain_adjacent_to_zinc_finger_domain_protein_2B; MAPT: Microtubule-associated_protein_tau; ATXN2: Ataxin-2; ATAD5: ATPase_family_AAA_domain-containing_protein_5; CELL-LINE_NOGN: HEK293; APOBEC3G: DNA_dC->dU-editing_enzyme_APOBEC-3G; LMNA: Prelamin-A/C; GNAS: Guanine_nucleotide-binding_protein_G(s)_subunit_alpha; CELL-LINE_NOGN: BJ; SMAD3: Mothers against decapentaplegic homolog_3; IDH1: Isocitrate_dehydrogenase_[NADP]_cytoplasmic; ALDH1A1: Aldehyde_dehydrogenase_1A1; NPC1: Niemann-Pick_C1_protein; RAB9A: Ras-related_protein_Rab-9A; APOBEC3F: DNA_dC->dU-editing_enzyme_APOBEC-3F.
3.8 Toxicity analysis
Two web servers, ProTox-II and pkCSM were used to determine the toxicity parameters of the title compound. The calculated toxicity endpoints and models are shown in Table 5 and Figure 11 (ProTox-II) and Table 6 (pkCSM). From Table 5 and Figure 11, we can see that the title compound is classified as mutagenic and carcinogenic with a probability of 79% and 61%, respectively. From Table 6, we can see that the title compound has two alerts related to AMES mutagenicity and hepatoxicity. In summary, we can define the title compound as mutagenic, carcinogenic, and hepatotoxic. These toxic effects are generally reported as structural warnings for compounds with the nitro substituent [89–92]. Despite these known facts for the toxicophoric nitro groups, many drugs containing the nitro group, such as flutamide and niclosamide, have been approved by the FDA, and the nitro group plays a direct role in the efficacy of a drug molecule [92]; therefore, we cannot exclude the compounds containing the nitro group, and can still consider them as drug candidates.
Table 5.
Toxicity results of the title compound calculated by ProTox-II.
| Toxicity model report | ||||
|---|---|---|---|---|
| Classification | Target | Shorthand | Prediction | Probability |
| Organ toxicity | Hepatotoxicity | dili | Inactive | 0.68 |
| Toxicity end points | Carcinogenicity | carcino | Active | 0.61 |
| Toxicity end points | Immunotoxicity | immuno | Inactive | 0.82 |
| Toxicity end points | Mutagenicity | mutagen | Active | 0.79 |
| Toxicity end points | Cytotoxicity | cyto | Inactive | 0.60 |
| Tox21-Nuclear receptor signaling pathways | Aryl hydrocarbon receptor (AhR) | nr_ahr | Inactive | 0.69 |
| Tox21-Nuclear receptor signaling pathways | Androgen receptor (AR) | nr_ar | Inactive | 0.90 |
| Tox21-Nuclear receptor signaling pathways | Androgen receptor (AR)-ligand binding domain (AR-LBD) | nr_ar_Ibd | Inactive | 0.97 |
| Tox21-Nuclear receptor signaling pathways | Aromatase | nr_aromatase | Inactive | 0.72 |
| Tox21-Nuclear receptor signaling pathways | Estrogen receptor (ER) | nr_er | Inactive | 0.87 |
| Tox21-Nuclear receptor signaling pathways | Estrogen receptor (ER)-ligand binding domain (AR-LBD) | ner_er_Ibd | Inactive | 0.98 |
| Tox21-Nuclear receptor signaling pathways | Peroxisome proliferator activated receptor gamma (PPAR-Gamma) | nr_ppar_gamma | Inactive | 0.98 |
| Tox21-Stress response pathways | Nuclear factor (erythroid-derived 2)-like2/antioxidant responsive element (nrf2/ARE) | ar_are | Inactive | 0.86 |
| Tox21-Stress response pathways | Heat shock factor response element (HSE) | sr_hse | Inactive | 0.86 |
| Tox21-Stress response pathways | Mitochondrial membrane potential (MMP) | sr_mmp | Inactive | 0.52 |
| Tox21-Stress response pathways | Phosphoprotein (tumor suppressor) p53 | sr_p53 | Inactive | 0.89 |
| Tox21-Stress response pathways | ATPase family AAA domain-containing protein 5 (ATAD5) | sr_atad5 | Inactive | 0.88 |
Table 6.
Some toxicity parameters and results calculated by pkCSM of the title compound
| pkCSM toxicity report. | ||
|---|---|---|
| AMES toxicity | Yes | Categorical (Yes/No) |
| Max. tolerated dose (human) | 0.076 | Numeric (log mg/kg/day) |
| Herg I inhibitor | No | Categorical (Yes/No) |
| Herg II inhibitor | No | Categorical (Yes/No) |
| Oral Rat Acute Toxicity (LD50) | 2.549 | Numeric (mol/kg) |
| Oral Rat Chronic Toxicity (LOAEL) | 1.383 | Numeric (log mg/kg_bw/day) |
| Hepatotoxicity | Yes | Categorical (Yes/No) |
| Skin sensitization | No | Categorical (Yes/No) |
| T. Pyriformis toxicity | 1.417 | Numeric (log ug/L) |
| Minnow toxicity | −1.982 | Numeric (log mM) |
3.9. Gastrointestinal absorption and brain penetration
We examined the title compound to determine human intestinal absorption (HIA) and blood-brain barrier (BBB) penetration, two crucial pharmacokinetic properties in drug discovery. These properties were investigated using the Brain Or IntestinaL EstimateD permeation method (BOILED-Egg) developed by Daina and Zoete [93]. This model uses two physicochemical parameters, WLOGP and TPSA. It simultaneously predicts the intestinal absorption and brain access of the molecules. For our compound, the estimated model is shown in Figure 12, in which the yellow area (yolk) shows that the compounds can passively penetrate through the blood-brain barrier. The white region signifies a physicochemical space where the gastrointestinal system can absorb the molecules. In this graph, the white and yellow areas are not mutually exclusive. The small red cycle in the yolk shows that our compound can passively cross the blood-brain barrier and be absorbed by the human gastrointestinal tract. As a result, the molecule is active in the BBB, and the gastrointestinal tract can absorb it.
Figure 12.
BOILED-Egg Model of query compound: the red cycle in the yolk signs out both good gastrointestinal absorption and blood-brain barrier permeability.
4. Conclusion
A Schiff base compound was synthesized via a condensation reaction between an aromatic aldehyde and amine molecule. The single crystal was analyzed using the X-ray diffraction method. The mentioned compound has space group P21/n and crystallized in monoclinic system. The monomeric units are four in the unit cell (Z = 4).
The molecular electrostatic potential map and Mulliken charges have revealed the most positive and the most negative regions of the molecule. The oxygen (O3) of the anisole ring and the nitrogen (N3) in the imine group are the most negatively charged atoms. The oxygen atoms (O1 and O2) of the nitro substituent are open positions for the electrophilic attack.
Molecular orbital analysis provided information on the intramolecular charge transfer, molecular softness, stability, reactivity, and toxicity. The energies of the energy gap, HOMO, and LUMO orbitals were calculated to be −5.629, −2.053, and 3.576 eV, respectively. As a result, charge transfer between the HOMO and LUMO orbitals occurs easily; the title compound has high chemical reactivity, biological activity, polarizability, probably high toxicity, and low kinetic and chemical stability.
Molecular stability is mainly established by H···H interaction, followed by O···H, C···H, C···C and N···H interactions and others.
Docking experiments were performed to determine the inhibitory effect of the candidate molecule. The title compound and reference inhibitor were docked to the COVID-19 main protease (Mpro). Our docking calculations showed that the binding energy of the complex of query compound/SARS-CoV-2 (−8.10 kcal/mol) is higher than that of the complex of N3/SARS-CoV-2 (− 7.11 kcal/mol). Therefore, the title compound is a potent candidate for inhibition of the main protease.
The title compound settled in the suit drug domain region according to the SwissADME algorithm and obeyed the known drug-likeness rules (Lipinski, Veber, Ghose, Egan, Muegge). pkCSM and ProTox-II tools uncovered mutagenic, carcinogenic, and hepatotoxic predictions on the title compound. Metabolism of the molecule in liver is likely to be low, as it was found to be an inhibitor of 5CYPs. There is no concern regarding human intestinal absorption and brain permeability.
Supplementary information
Table S1.
Single-crystal X-ray data of the title compound and the refinement parameters.
| Crystal data | |
|---|---|
| CCDC deposition number | 2082426 |
| Chemical formula | C19H21N3O3 |
| Formula weight | 339.39 |
| Temperature (K) | 296 |
| Wavelength (Å) | 0.71073 |
| Crystal system | Monoclinic |
| Space group | P21/n |
| Unit cell parameters | |
| a≠b≠c (Å) | 10.1685(16), 13.3628(15), 13.416(2) |
| α=γ≠β (°) | 90.00, 90.00, 107.854 (12) |
| Crystal size (mm) | 0.71 × 0.48 × 0.24 |
| Z | 4 |
| Volume, V (Å3) | 1735.2(4) |
| μ (mm−1) | 0.09 |
| F (000) | 720 |
| θ min-max (°) | 12.6–35.1 |
| Calculated density (Mgm−3) | 1.299 |
| Color and shape | Yellow, prism |
| Data collection | |
| Diffractometer | STOE IPDS 2 |
| θ min-max for data collection (°) | 2.6–26.0 |
| Index ranges; h, k, l | −10→12, −13→16, −16→16 |
| Measurement method | Scans |
| Reflections collected | 9358 |
| Independent reflections | 3398 |
| Reflections with I> 2σ(I) | 2080 |
| Absorption correction | Integration ((X-RED32; Stoe and Cie, 2002) |
| Tmin-max | 0.948–0.979 |
| Rint | 0.049 |
| Refinement | |
| Refinement method | Full matrix least squares on F2 |
| Parameters | 227 |
| R [F2 > 2σ(F2)] | 0.041 |
| wR(F2) | 0.094 |
| GooF=S | 0.91 |
| Δρmin-max (e Å−3) | −0.13, 0.14 |
| w = 1/[σ2(Fo2) + (0.0638P)2 + 0.3411P], where P = (Fo2 + 2Fc2)/3, (Δ/σ)max < 0.001, | |
| Extinction correction: SHELXL-2014/7 (Sheldrick 2014). | |
Table S2.
The calculated and measured bond length values of the title compound.
| Bond length | B3LYP | Exp. |
|---|---|---|
| O3—C18 | 1.3713 | 1.382 (2) |
| O3—C19 | 1.4213 | 1.429 (2) |
| N2—C5 | 1.4083 | 1.406 (2) |
| N2—C8 | 1.4673 | 1.473 (2) |
| N2—C12 | 1.4783 | 1.479 (2) |
| N3—C7 | 1.2824 | 1.277 (2) |
| N3—C13 | 1.4006 | 1.418 (2) |
| O1—N1 | 1.2316 | 1.235 (2) |
| N1—O2 | 1.2337 | 1.230 (2) |
| N1—C2 | 1.4647 | 1.465 (2) |
| C7—C6 | 1.4747 | 1.480 (2) |
| C7—H7 | 1.0908 | 0.9300 |
| C6—C1 | 1.3989 | 1.396 (2) |
| C6—C5 | 1.425 | 1.427 (2) |
| C5—C4 | 1.4108 | 1.412 (2) |
| C13—C14 | 1.4032 | 1.404 (2) |
| C13—C18 | 1.4214 | 1.414 (2) |
| C14—C15 | 1.3919 | 1.380 (3) |
| C14—H14 | 1.0851 | 0.9300 |
| C2—C3 | 1.3954 | 1.384 (3) |
| C2—C1 | 1.3876 | 1.385 (2) |
| C18—C17 | 1.3983 | 1.390 (3) |
| C12—C11 | 1.5304 | 1.517 (3) |
| C12—H12A | 1.1055 | 0.9700 |
| C12—H12B | 1.0908 | 0.9700 |
| C1—H1 | 1.0823 | 0.9300 |
| C4—C3 | 1.3868 | 1.378 (3) |
| C4—H4 | 1.0828 | 0.9300 |
| C3—H3A | 1.0827 | 0.9300 |
| C17—C16 | 1.3965 | 1.389 (3) |
| C17—H17 | 1.0832 | 0.9300 |
| C8—C9 | 1.532 | 1.517 (3) |
| C8—H8A | 1.0834 | 0.9700 |
| C8—H8B | 1.1062 | 0.9700 |
| C11—C10 | 1.5337 | 1.529 (3) |
| C11—H11A | 1.0966 | 0.9700 |
| C11—H11B | 1.0968 | 0.9700 |
| C15—C16 | 1.3928 | 1.379 (3) |
| C15—H15 | 1.0852 | 0.9300 |
| C16—H16 | 1.0858 | 0.9300 |
| C9—C10 | 1.5329 | 1.521 (3) |
| C9—H9A | 1.0968 | 0.9700 |
| C9—H9B | 1.096 | 0.9700 |
| C10—H10A | 1.0956 | 0.9700 |
| C10—H10B | 1.0991 | 0.9700 |
| C19—H19A | 1.0972 | 0.9600 |
| C19—H19B | 1.0966 | 0.9600 |
Table S3.
The calculated and measured bond angle values of the title compound.
| Bond angle | B3LYP | Exp. |
|---|---|---|
| C18—O3—C19 | 117.9116 | 117.61 (15) |
| C5—N2—C8 | 117.3559 | 117.57 (14) |
| C5—N2—C12 | 116.3752 | 117.31 (13) |
| C8—N2—C12 | 112.0595 | 111.20 (13) |
| C7—N3—C13 | 123.512 | 123.96 (15) |
| O2—N1—O1 | 124.406 | 122.87 (18) |
| O2—N1—C2 | 117.6418 | 118.15 (19) |
| O1—N1—C2 | 117.9521 | 118.96 (16) |
| N3—C7—C6 | 120.3003 | 119.71 (15) |
| N3—C7—H7 | 123.2613 | 120.1 |
| C6—C7—H7 | 116.3552 | 120.1 |
| C1—C6—C5 | 119.3966 | 119.37 (16) |
| C1—C6—C7 | 118.9256 | 117.49 (15) |
| C5—C6—C7 | 121.5157 | 122.78 (15) |
| N2—C5—C4 | 121.3611 | 120.96 (16) |
| N2—C5—C6 | 120.0819 | 120.74 (15) |
| C4—C5—C6 | 118.5476 | 118.25 (17) |
| C14—C13—C18 | 118.0087 | 117.35 (16) |
| C14—C13—N3 | 115.9861 | 115.56 (15) |
| C18—C13—N3 | 125.8697 | 127.02 (15) |
| C15—C14—C13 | 122.0243 | 122.75 (17) |
| C15—C14—H14 | 121.0932 | 118.6 |
| C13—C14—H14 | 116.8814 | 118.6 |
| C3—C2—C1 | 121.3513 | 121.30 (17) |
| C3—C2—N1 | 119.1791 | 119.95 (17) |
| C1—C2—N1 | 119.4628 | 118.71 (17) |
| O3—C18—C17 | 123.0735 | 123.13 (16) |
| O3—C18—C13 | 117.1253 | 116.91 (15) |
| C17—C18—C13 | 119.7842 | 119.93 (17) |
| N2—C12—C11 | 111.0694 | 110.75 (14) |
| N2—C12—H12A | 109.4321 | 109.5 |
| C11—C12—H12A | 109.5931 | 109.5 |
| N2—C12—H12B | 109.1818 | 109.5 |
| C11—C12—H12B | 110.2807 | 109.5 |
| H12A—C12—H12B | 107.1988 | 108.1 |
| C2—C1—C6 | 120.2402 | 120.23 (17) |
| C2—C1—H1 | 120.6299 | 119.9 |
| C6—C1—H1 | 119.0941 | 119.9 |
| C3—C4—C5 | 121.5246 | 121.42 (18) |
| C3—C4—H4 | 118.6577 | 119.3 |
| C5—C4—H4 | 119.7861 | 119.3 |
| C4—C3—C2 | 118.8524 | 119.43 (17) |
| C4—C3—H3A | 121.5638 | 120.3 |
| C2—C3—H3A | 119.5709 | 120.3 |
| C16—C17—C18 | 120.6792 | 120.48 (18) |
| C16—C17—H17 | 119.2051 | 119.8 |
| C18—C17—H17 | 120.113 | 119.8 |
| N2—C8—C9 | 110.5135 | 110.87 (16) |
| N2—C8—H8A | 108.377 | 109.5 |
| C9—C8—H8A | 109.9995 | 109.5 |
| N2—C8—H8B | 111.3825 | 109.5 |
| C9—C8—H8B | 109.0347 | 109.5 |
| H8A—C8—H8B | 107.4803 | 108.1 |
| C12—C11—C10 | 111.2726 | 110.75 (17) |
| C12—C11—H11A | 108.8787 | 109.5 |
| C10—C11—H11A | 110.5794 | 109.5 |
| C12—C11—H11B | 108.756 | 109.5 |
| C10—C11—H11B | 109.8197 | 109.5 |
| H11A—C11—H11B | 107.4352 | 108.1 |
| C16—C15—C14 | 119.259 | 118.63 (18) |
| C16—C15—H15 | 120.6244 | 120.7 |
| C14—C15—H15 | 120.1082 | 120.7 |
| C15—C16—C17 | 120.185 | 120.83 (18) |
| C15—C16—H16 | 120.5368 | 119.6 |
| C17—C16—H16 | 119.2749 | 119.6 |
| C8—C9—C10 | 111.096 | 111.76 (15) |
| C8—C9—H9A | 108.7378 | 109.3 |
| C10—C9—H9A | 109.829 | 109.3 |
| C8—C9—H9B | 108.9651 | 109.3 |
| C10—C9—H9B | 110.8098 | 109.3 |
| H9A—C9—H9B | 107.3022 | 107.9 |
| C9—C10—C11 | 110.1514 | 109.04 (16) |
| C9—C10—H10A | 110.6369 | 109.9 |
| C11—C10—H10A | 110.646 | 109.9 |
| C9—C10—H10B | 109.3121 | 109.9 |
| C11—C10—H10B | 109.3268 | 109.9 |
| H10A—C10—H10B | 106.691 | 108.3 |
| O3—C19—H19A | 111.7356 | 109.5 |
| O3—C19—H19B | 111.4225 | 109.5 |
| H19A—C19—H19B | 109.1408 | 109.5 |
| O3—C19—H19C | 106.0313 | 109.5 |
| H19A—C19—H19C | 108.9719 | 109.5 |
| H19B—C19—H19C | 109.457 | 109.5 |
Table S4.
The calculated and measured dihedral angle values of the title compound.
| Dihedral angle | B3LYP | Exp. |
|---|---|---|
| C13—N3—C7—C6 | −177.4069 | −173.59 (14) |
| N3—C7—C6—C1 | 11.9856 | 23.1 (2) |
| N3—C7—C6—C5 | −172.6713 | −163.85 (14) |
| C8—N2—C5—C4 | −21.2475 | 14.0 (2) |
| C12—N2—C5—C4 | −115.5165 | −122.78 (17) |
| C8—N2—C5—C6 | −157.6223 | −163.30 (14) |
| C12—N2—C5—C6 | 65.6137 | 59.93 (19) |
| C1—C6—C5—N2 | −177.6607 | 178.00 (13) |
| C7—C6—C5—N2 | 7.0177 | 5.1 (2) |
| C1—C6—C5—C4 | 3.4379 | 0.6 (2) |
| C7—C6—C5—C4 | −171.8837 | −172.28 (14) |
| C7—N3—C13—C14 | −146.5829 | 150.97 (16) |
| C7—N3—C13—C18 | −37.755 | −32.2 (2) |
| C18—C13—C14—C15 | 2.8046 | 1.4 (2) |
| N3—C13—C14—C15 | 178.8237 | 178.52 (15) |
| O2—N1—C2—C3 | −0.6199 | −7.2 (2) |
| O1—N1—C2—C3 | 179.2988 | 171.88 (17) |
| O2—N1—C2—C1 | 178.4461 | 170.37 (16) |
| O1—N1—C2—C1 | −1.6352 | −10.5 (2) |
| C19—O3—C18—C17 | 10.6209 | −3.2 (3) |
| C19—O3—C18—C13 | −167.8739 | 178.78 (16) |
| C14—C13—C18—O3 | 177.2472 | 177.67 (14) |
| N3—C13—C18—O3 | 1.6641 | 0.9 (2) |
| C14—C13—C18—C17 | −1.2993 | −0.5 (2) |
| N3—C13—C18—C17 | −176.8826 | −177.24 (16) |
| C5—N2—C12—C11 | −162.6825 | −161.74 (15) |
| C8—N2—C12—C11 | −58.3476 | 58.9 (2) |
| C3—C2—C1—C6 | −0.4093 | 0.1 (2) |
| N1—C2—C1—C6 | −179.4544 | −177.44 (14) |
| C5—C6—C1—C2 | −2.1637 | −0.6 (2) |
| C7—C6—C1—C2 | 173.2798 | 172.71 (14) |
| N2—C5—C4—C3 | 178.8666 | −177.59 (15) |
| C6—C5—C4—C3 | −2.2467 | −0.2 (2) |
| C5—C4—C3—C2 | −0.2714 | −0.2 (2) |
| C1—C2—C3—C4 | 1.6429 | 0.3 (2) |
| N1—C2—C3—C4 | −179.3094 | 177.82 (14) |
| O3—C18—C17—C16 | −179.1932 | −179.03 (17) |
| C13—C18—C17—C16 | −0.7367 | −1.0 (3) |
| C5—N2—C8—C9 | 162.3447 | 163.00 (14) |
| C12—N2—C8—C9 | −59.1211 | −57.74 (19) |
| N2—C12—C11—C10 | −54.8559 | −57.9 (2) |
| C13—C14—C15—C16 | −2.2182 | −0.7 (3) |
| C14—C15—C16—C17 | 0.0843 | −0.8 (3) |
| C18—C17—C16—C15 | 1.3698 | 1.7 (3) |
| N2—C8—C9—C10 | 56.8131 | 56.3 (2) |
| C8—C9—C10—C11 | −53.6878 | −54.6 (2) |
| C12—C11—C10—C9 | 52.7361 | 55.2 (2) |
FTIR spectrum of the title compound.
UV-Vis spectrum of the title compound.
Grid box including the active residues in Mpro of SARS-CoV-2.
The comparative docking results of reference inhibitor N3 and query compound.
Acknowledgment
This study was supported by Scientific Researching Projects Fund of Ondokuz Mayıs University, Samsun, Turkey (Project no: PYO.FEN.1906.19.001).
Appendix A. Supplementary data
CCDC 2082426 contains the supplementary crystallographic data for the title compound. These data can be obtained free of charge via http://www.ccdc.cam.ac.uk/conts/retrieving.html, or from the Cambridge Crystallographic Data Centre, 12 Union Road, Cambridge CB2 1EZ, UK; fax: (+44) 1223-336-033; or e-mail: deposit@ccdc.cam.ac.uk.
Funding Statement
This study was supported by Scientific Researching Projects Fund of Ondokuz Mayıs University, Samsun, Turkey (Project no: PYO.FEN.1906.19.001).
Footnotes
Conflict of interest
The authors declare that there is no conflict of interest regarding the publication of this paper.
References
- 1. Faisal HMN, Katti KS, Katti DR. Binding of SARS-COV-2 (COVID-19) and SARS-COV to human ACE2: Identifying binding sites and consequences on ACE2 stiffness. Chemical Physics. 2021;551:111353. doi: 10.1016/j.chemphys.2021.111353. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2. Kumar A, Singh R, Kaur J, Pandey S, Sharma V, et al. Wuhan to World: The COVID-19 Pandemic. Frontiers in Cellular and Infection Microbiology. 2021;11(242) doi: 10.3389/fcimb.2021.596201. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3. Jiang S, Shi Z, Shu Y, Song J, Gao GF, et al. A distinct name is needed for the new coronavirus. The Lancet. 2020;395(10228):949. doi: 10.1016/S0140-6736(20)30419-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4. Omar AZ, Mosa TM, El-sadany SK, Hamed EA, El-atawy M. Novel piperazine based compounds as potential inhibitors for SARS-CoV-2 Protease Enzyme: Synthesis and molecular docking study. Journal of Molecular Structure. 2021;1245:131020. doi: 10.1016/j.molstruc.2021.131020. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.WHO. Coronavirus. WHO (COVID-19) Dashboard. Available rom: https://covid19.who.int/
- 6. Case SM, Son MB. COVID-19 in Pediatrics. Rheumatic Disease Clinics. 2021;47(4):797–811. doi: 10.1016/j.rdc.2021.07.006. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7. Nagar PR, Gajjar ND, Dhameliya TM. In search of SARS CoV-2 replication inhibitors: Virtual screening, molecular dynamics simulations and ADMET analysis. Journal of Molecular Structure. 2021;1246:131190. doi: 10.1016/j.molstruc.2021.131190. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8. Moradi G, Mohamadi Bolbanabad A, Ahmadi S, Aghaei A, Bahrami F, et al. Persistence assessment of SARS-CoV-2-specific IgG antibody in recovered COVID-19 individuals and its association with clinical symptoms and disease severity: A prospective longitudinal cohort study. International Immunopharmacology. 2021;98:107893. doi: 10.1016/j.intimp.2021.107893. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9. Jutzeler CR, Bourguignon L, Weis CV, Tong B, Wong C, et al. Comorbidities, clinical signs and symptoms, laboratory findings, imaging features, treatment strategies, and outcomes in adult and pediatric patients with COVID-19: A systematic review and meta-analysis. Travel Medicine and Infectious Disease. 2020;37:101825. doi: 10.1016/j.tmaid.2020.101825. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10. Sun L, Song F, Shi N, Liu F, Li S, et al. Combination of four clinical indicators predicts the severe/critical symptom of patients infected COVID-19. Journal of Clinical Virology. 2020;128:104431. doi: 10.1016/j.jcv.2020.104431. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11. Attiq A, Yao LJ, Afzal S, Khan MA. The triumvirate of NF-κB, inflammation and cytokine storm in COVID-19. International Immunopharmacology. 2021;101:108255. doi: 10.1016/j.intimp.2021.108255. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12. Hashim KKM, Manoj E, Kurup MRP. A novel manganese(II) bisthiocarbohydrazone complex: Crystal structures, Hirshfeld surface analysis, DFT and molecular docking study with SARS-CoV-2. Journal of Molecular Structure. 2021;1246:131125. doi: 10.1016/j.molstruc.2021.131125. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13. Mandal M, Chowdhury SK, Khan AA, Baildya N, Dutta T, et al. Inhibitory efficacy of RNA virus drugs against SARS-CoV-2 proteins: An extensive study. Journal of Molecular Structure. 2021;1234:130152. doi: 10.1016/j.molstruc.2021.130152. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14. Kon E, Elia U, Peer D. Principles for designing an optimal mRNA lipid nanoparticle vaccine. Current Opinion in Biotechnology. 2022;73:329–336. doi: 10.1016/j.copbio.2021.09.016. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15. Liu P, Liu H, Sun Q, Liang H, Li C, et al. Potent inhibitors of SARS-CoV-2 3C-like protease derived from N-substituted isatin compounds. European Journal of Medicinal Chemistry. 2020;206:112702. doi: 10.1016/j.ejmech.2020.112702. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16. Oubahmane M, Hdoufane I, Bjij I, Jerves C, Villemin D, et al. COVID-19: In silico identification of potent α-ketoamide inhibitors targeting the main protease of the SARS-CoV-2. Journal of Molecular Structure. 2021;1244:130897. doi: 10.1016/j.molstruc.2021.130897. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17. Benbouguerra K, Chafai N, Chafaa S, Touahria YI, Tlidjane H. New α-Hydrazinophosphonic acid: Synthesis, characterization, DFT study and in silico prediction of its potential inhibition of SARS-CoV-2 main protease. Journal of Molecular Structure. 2021;1239:130480. doi: 10.1016/j.molstruc.2021.130480. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18. Amin SA, Banerjee S, Ghosh K, Gayen S, Jha T. Protease targeted COVID-19 drug discovery and its challenges: Insight into viral main protease (Mpro) and papain-like protease (PLpro) inhibitors. Bioorganic & Medicinal Chemistry. 2021;29:115860. doi: 10.1016/j.bmc.2020.115860. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19. Al-Janabi ASM, Elzupir AO, Yousef TA. Synthesis, anti-bacterial evaluation, DFT study and molecular docking as a potential 3-chymotrypsin-like protease (3CLpro) of SARS-CoV-2 inhibitors of a novel Schiff bases. Journal of Molecular Structure. 2021;1228:129454. doi: 10.1016/j.molstruc.2020.129454. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20. Reyaz S, Tasneem A, Rai GP, Bairagya HR. Investigation of structural analogs of hydroxychloroquine for SARS-CoV-2 main protease (Mpro): A computational drug discovery study. Journal of Molecular Graphics and Modelling. 2021;109:108021. doi: 10.1016/j.jmgm.2021.108021. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21. Basu S, Veeraraghavan B, Ramaiah S, Anbarasu A. Novel cyclohexanone compound as a potential ligand against SARS-CoV-2 main-protease. Microbial Pathogenesis. 2020;149:104546. doi: 10.1016/j.micpath.2020.104546. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22. Chhetri A, Chettri S, Rai P, Sinha B, Brahman D. Exploration of inhibitory action of Azo imidazole derivatives against COVID-19 main protease (Mpro): A computational study. Journal of Molecular Structure. 2021;1224:129178. doi: 10.1016/j.molstruc.2020.129178. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23. Mohan N, Sreejith SS, George R, Mohanan PV, Kurup MRP. Synthesis, crystal structure and ligand based catalytic activity of octahedral salen Schiff base Co(III) compounds. Journal of Molecular Structure. 2021;1229:129779. doi: 10.1016/j.molstruc.2020.129779. [DOI] [Google Scholar]
- 24. El-Gammal OA, El-Bindary ShAA, Mohamed F, Rezk GN, El-Bindary MA. Synthesis, characterization, design, molecular docking, anti COVID-19 activity, DFT calculations of novel Schiff base with some transition metal complexes. Journal of Molecular Liquids. 2021:117850. doi: 10.1016/j.molliq.2021.117850. [DOI] [Google Scholar]
- 25. Saranya B, Gowri M. Synthesis, Characterization, DFT study and Molecular Docking of (Z)-4-((2-hydroxy-3-methoxy benzylidene)amino)-1,5-dimethyl-2-phenyl-1,2-dihydro-3H-pyrazol-3-one and its Metal Complexes. Journal of Molecular Structure. 2022;1250:131674. doi: 10.1016/j.molstruc.2021.131674. [DOI] [Google Scholar]
- 26. El-Gammal OA, Mohamed FS, Rezk GN, El-Bindary AA. Structural characterization and biological activity of a new metal complexes based of Schiff base. Journal of Molecular Liquids. 2021;330:115522. doi: 10.1016/j.molliq.2021.115522. [DOI] [Google Scholar]
- 27.Stoe Cie X. AREA (Version 1.18) and X-RED32 (Version1. 04) Stoe&Cie; Darmstadt, Germany: 2002. [Google Scholar]
- 28. Sheldrick GM. SHELXT - Integrated space-group and crystal-structure determination. Acta Crystallographica Section A: Foundations of Crystallography. 2015;71(1):3–8. doi: 10.1107/S2053273314026370. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29. Sheldrick GM. Crystal structure refinement with SHELXL. Acta Crystallographica Section C: Structural Chemistry. 2015;71(1):3–8. doi: 10.1107/S2053229614024218. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30. Westrip SP. PublCIF: Software for editing, validating and formatting crystallographic information files. Journal of Applied Crystallography. 2010;43(4):920–925. doi: 10.1107/S0021889810022120. [DOI] [Google Scholar]
- 31.Frisch M, Trucks G, Schlegel HB, Scuseria GE, Robb MA, et al. gaussian 09, Revision d. 01. Gaussian Inc; Wallingford CT: 2009. p. 201. [Google Scholar]
- 32.Parr RG. Density functional theory of atoms and molecules, in Horizons of quantum chemistry. Springer; 1980. pp. 5–15. [Google Scholar]
- 33. Becke AD. Density-functional thermochemistry. III. The role of exact exchange. The Journal of Chemical Physics. 1993;98(7):5648–5652. doi: 10.1063/1.464913. [DOI] [Google Scholar]
- 34. Lee C, Yang W, Parr RG. Development of the Colle-Salvetti correlation-energy formula into a functional of the electron density. Physical Review B. 1988;37(2):785–789. doi: 10.1103/PhysRevB.37.785. [DOI] [PubMed] [Google Scholar]
- 35.Turner M, McKinnon J, Wolff S, Grimwood D, Spackman P, et al. CrystalExplorer17. The University of Western; Australia Australia: 2017. [Google Scholar]
- 36. Macrae CF, Edgington PR, McCabe P, Pidcock E, Shields GP, et al. Mercury: Visualization and analysis of crystal structures. Journal of Applied Crystallography. 2006;39(3):453–457. doi: 10.1107/S002188980600731X. [DOI] [Google Scholar]
- 37. Morris GM, Huey R, Lindstrom W, Sanner MF, Belew RK, et al. AutoDock4 and AutoDockTools4: Automated docking with selective receptor flexibility. Journal of computational chemistry. 2009;30(16):2785–2791. doi: 10.1002/jcc.21256. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38. Berman HM, Westbrook J, Feng Z, Gilliland G, Bhat TN, et al. The Protein Data Bank. Nucleic Acids Research. 2000;28(1):235–242. doi: 10.1093/nar/28.1.235. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39. Salentin S, Schreiber S, Haupt VJ, Adasme MF, Schroeder M. PLIP: fully automated protein–ligand interaction profiler. Nucleic Acids Research. 2015;43(W1):W443–W447. doi: 10.1093/nar/gkv315. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40. Daina A, Michielin O, Zoete V. SwissADME: a free web tool to evaluate pharmacokinetics, drug-likeness and medicinal chemistry friendliness of small molecules. Scientific Reports. 2017;7(1):42717. doi: 10.1038/srep42717. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41. Awale M, Reymond J-L. The polypharmacology browser: a web-based multi-fingerprint target prediction tool using ChEMBL bioactivity data. Journal of Cheminformatics. 2017;9(1):11. doi: 10.1186/s13321-017-0199-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42. Banerjee P, Eckert AO, Schrey AK, Preissner R. ProTox-II: a webserver for the prediction of toxicity of chemicals. Nucleic Acids Research. 2018;46(W1):W257–W263. doi: 10.1093/nar/gky318. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43. Pires DEV, Blundell TL, Ascher DB. pkCSM: Predicting Small-Molecule Pharmacokinetic and Toxicity Properties Using Graph-Based Signatures. Journal of Medicinal Chemistry. 2015;58(9):4066–4072. doi: 10.1021/acs.jmedchem.5b00104. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44. Azhagiri S, Jayakumar S, Gunasekaran S, Srinivasan S. Molecular structure, Mulliken charge, frontier molecular orbital and first hyperpolarizability analysis on 2-nitroaniline and 4-methoxy-2-nitroaniline using density functional theory. Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy. 2014;124:199–202. doi: 10.1016/j.saa.2013.12.106. [DOI] [PubMed] [Google Scholar]
- 45. Balachandran V, Karunakaran V. Molecular structure, vibrational spectroscopic, hyperpolarizability, natural bond orbital analysis, frontier molecular orbital analysis and thermodynamic properties of 2,3,4,5,6-pentafluorophenylacetic acid. Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy. 2014;127:473–483. doi: 10.1016/j.saa.2014.02.129. [DOI] [PubMed] [Google Scholar]
- 46. He J, He H, Cai M, Zhao F, He H. Insight into the halogen bonding between PA-1 ligand and pyruvate dehydrogenase complex E1 component by crystal structure, DFT calculation, and molecular docking. Journal of Molecular Structure. 2020;1199:126991. doi: 10.1016/j.molstruc.2019.126991. [DOI] [Google Scholar]
- 47. Uludağ N, Serdaroğlu G. An improved synthesis, spectroscopic (FT-IR, NMR) study and DFT computational analysis (IR, NMR, UV–Vis, MEP diagrams, NBO, NLO, FMO) of the 1,5-methanoazocino[4,3-b]indole core structure. Journal of Molecular Structure. 2018;1155:548–560. doi: 10.1016/j.molstruc.2017.11.032. [DOI] [Google Scholar]
- 48. Sheikhi M, Shahab S, Khaleghian M, Hajikolaee FH, Balakhanava I, et al. Adsorption properties of the molecule resveratrol on CNT(8, 0–10) nanotube: Geometry optimization, molecular structure, spectroscopic (NMR, UV/Vis, excited state), FMO, MEP and HOMO-LUMO investigations. Journal of Molecular Structure. 2018;1160:479–487. doi: 10.1016/j.molstruc.2018.01.005. [DOI] [Google Scholar]
- 49. Anitha K, Balachandran V, Narayana B, Raja B. Molecular orbital analysis, vibrational spectroscopic investigation, static and dynamic NLO responses of Ethyl 6-nitro-1H-indole-3-carboxylate. Materials Research Innovations. 2018;22(6):333–342. doi: 10.1080/14328917.2017.1323989. [DOI] [Google Scholar]
- 50. Arif AM, Yousaf A, Xu H-l, Su Z-M. Spectroscopic behavior, FMO, NLO and substitution effect of 2-(1H-Benzo[d]imidazole-2-ylthio)-N-o-substituted-acetamides: Experimental and theoretical approach. Dyes and Pigments. 2019;171:107742. doi: 10.1016/j.dyepig.2019.107742. [DOI] [Google Scholar]
- 51. Sas EB, Yalcin S, Ercan F, Kurt M. A multi-spectroscopic, computational and molecular modeling studies on anti-apoptotic proteins with Boc-D-Lys-OH. Journal of Molecular Structure. 2020;1199:126981. doi: 10.1016/j.molstruc.2019.126981. [DOI] [Google Scholar]
- 52. Şahin S, Dege N. A newly synthesized small molecule: the evaluation against Alzheimer’s Disease by in silico drug design and computational structure analysis methods. Journal of Molecular Structure. 2021;1236:130337. doi: 10.1016/j.molstruc.2021.130337. [DOI] [Google Scholar]
- 53. Şahin S, Dege N. Synthesis, characterization, X-ray, HOMO-LUMO, MEP, FT-IR, NLO, Hirshfeld surface, ADMET, boiled-egg model properties and molecular docking studies with human cyclophilin D (CypD) of a Schiff base compound: (E)-1-(5-nitro-2-(piperidin-1-yl)phenyl)-N-(3-nitrophenyl)methanimine. Polyhedron. 2021;205:115320. doi: 10.1016/j.poly.2021.115320. [DOI] [Google Scholar]
- 54. Şahin S, Dege N. (E)-N-(3-chlorophenyl)-1-(5-nitro-2-(piperidin-1-yl)phenyl)methanimine: X-Ray, DFT, ADMET, Boiled-Egg Model, Druggability, Bioavailabilty, and Human Cyclophilin D (CypD) Inhibitory Activity. Journal of Molecular Structure. 2021:131744. doi: 10.1016/j.molstruc.2021.131744. [DOI] [Google Scholar]
- 55. Saral A, Sudha P, Muthu S, Rajaraman BR, Selvakumari S, et al. Quantum mechanical, spectroscopic vibrational analysis, NBO, HOMO-LUMO, and molecular docking studies on 2-Chloroquinoline-3-Carboxamide. Materials Today: Proceedings. 2020 doi: 10.1016/j.matpr.2020.07.595. [DOI] [Google Scholar]
- 56. Świsłocka R, Regulska E, Karpińska J, Świderski G, Lewandowski W. Molecular Structure and Antioxidant Properties of Alkali Metal Salts of Rosmarinic Acid Experimental and DFT Studies Molecules. 2019;24(14) doi: 10.3390/molecules24142645. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 57. Kumar S, Saini V, Maurya IK, Sindhu J, Kumari M, et al. Design, synthesis, DFT, docking studies and ADME prediction of some new coumarinyl linked pyrazolylthiazoles: Potential standalone or adjuvant antimicrobial agents. PLOS ONE. 2018;13(4):e0196016. doi: 10.1371/journal.pone.0196016. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 58. Tribak Z, Skalli MK, Haoidi A, Rodi YK, Senhaji O. DFT, Quantum Chemical Study and Biological Effects of a Heterocyclic Molecular. Journal of Biotechnology & Bioresearch. 2019;1(4) doi. [Google Scholar]
- 59. Gopalakrishnan SB, Kalaiarasi T, Subramanian R. Comparative DFT Study of Phytochemical Constituents of the Fruits of Cucumis trigonus Roxb. and Cucumis sativus Linn. Journal of Computational Methods in Physics. 2014;2014:623235. doi: 10.1155/2014/623235. [DOI] [Google Scholar]
- 60. Ajibola AA, Grice KA, Perveen F, Wojciechowska A, Sieroń L, et al. Synthesis, crystal structures, Hirshfeld surface analysis, theoretical insight and molecular docking studies of dinuclear and triply bridged Cu(II) carboxylate complexes with 2,2′-bipyridine or 1,10-phenanthroline. Polyhedron. 2021;210:115502. doi: 10.1016/j.poly.2021.115502. [DOI] [Google Scholar]
- 61. Jin Z, Du X, Xu Y, Deng Y, Liu M, et al. Structure of Mpro from SARS-CoV-2 and discovery of its inhibitors. Nature. 2020;582(7811):289–293. doi: 10.1038/s41586-020-2223-y. [DOI] [PubMed] [Google Scholar]
- 62. Cannalire R, Cerchia C, Beccari AR, Di Leva FS, Summa V. Targeting SARS-CoV-2 Proteases and Polymerase for COVID-19 Treatment: State of the Art and Future Opportunities. Journal of Medicinal Chemistry. 2020 doi: 10.1021/acs.jmedchem.0c01140. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 63. García-Gutiérrez P, Zubillaga RA, Ibarra IA, Martínez A, Vargas R, et al. Non-conventional interactions of N3 inhibitor with the main protease of SARS-CoV and SARS-CoV-2. Computational and Structural Biotechnology Journal. 2021;19:4669–4675. doi: 10.1016/j.csbj.2021.08.015. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 64. Daina A, Michielin O, Zoete V. SwissTargetPrediction: updated data and new features for efficient prediction of protein targets of small molecules. Nucleic Acids Research. 2019;47(W1):W357–W364. doi: 10.1093/nar/gkz382. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 65. Banerjee P, Dunkel M, Kemmler E, Preissner R. SuperCYPsPred—a web server for the prediction of cytochrome activity. Nucleic Acids Research. 2020;48(W1):W580–W585. doi: 10.1093/nar/gkaa166. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 66. Hu Q, Feng M, Lai L, Pei J. Prediction of Drug-Likeness Using Deep Autoencoder Neural Networks. Frontiers in Genetics. 2018;9(585) doi: 10.3389/fgene.2018.00585. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 67. Fukunishi Y, Nakamura H. Definition of Drug-Likeness for Compound Affinity. Journal of Chemical Information and Modeling. 2011;51(5):1012–1016. doi: 10.1021/ci200035q. [DOI] [PubMed] [Google Scholar]
- 68. Lipinski CA, Lombardo F, Dominy BW, Feeney PJ. Experimental and computational approaches to estimate solubility and permeability in drug discovery and development settings. Advanced Drug Delivery Reviews. 1997;23(1):3–25. doi: 10.1016/S0169-409X(96)00423-1. [DOI] [PubMed] [Google Scholar]
- 69. Ghose AK, Viswanadhan VN, Wendoloski JJ. A knowledge-based approach in designing combinatorial or medicinal chemistry libraries for drug discovery. 1. A qualitative and quantitative characterization of known drug databases. J Comb Chem. 1999;1(1):55–68. doi: 10.1021/cc9800071. [DOI] [PubMed] [Google Scholar]
- 70. Veber DF, Johnson SR, Cheng HY, Smith BR, Ward KW, et al. Molecular properties that influence the oral bioavailability of drug candidates. J Med Chem. 2002;45(12):2615–23. doi: 10.1021/jm020017n. [DOI] [PubMed] [Google Scholar]
- 71. Egan WJ, Merz KM, Baldwin JJ. Prediction of Drug Absorption Using Multivariate Statistics. Journal of Medicinal Chemistry. 2000;43(21):3867–3877. doi: 10.1021/jm000292e. [DOI] [PubMed] [Google Scholar]
- 72. Muegge I, Heald SL, Brittelli D. Simple Selection Criteria for Drug-like Chemical Matter. Journal of Medicinal Chemistry. 2001;44(12):1841–1846. doi: 10.1021/jm015507e. [DOI] [PubMed] [Google Scholar]
- 73. Sato S. Plasmodium—a brief introduction to the parasites causing human malaria and their basic biology. Journal of Physiological Anthropology. 2021;40(1):1. doi: 10.1186/s40101-020-00251-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 74. Watson ZL, Yamamoto TM, McMellen A, Kim H, Hughes CJ, et al. Histone methyltransferases EHMT1 and EHMT2 (GLP/G9A) maintain PARP inhibitor resistance in high-grade serous ovarian carcinoma. Clinical Epigenetics. 2019;11(1):165. doi: 10.1186/s13148-019-0758-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 75. Kushwaha PP, Rapalli KC, Kumar S. Geminin a multi task protein involved in cancer pathophysiology and developmental process: A review. Biochimie. 2016;131:115–127. doi: 10.1016/j.biochi.2016.09.022. [DOI] [PubMed] [Google Scholar]
- 76. Kahlert C, Bergmann F, Beck J, Welsch T, Mogler C, et al. Low expression of aldehyde deyhdrogenase 1A1 (ALDH1A1) is a prognostic marker for poor survival in pancreatic cancer. BMC Cancer. 2011;11(1):275. doi: 10.1186/1471-2407-11-275. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 77. Samson SL, Garber A. GLP-1R agonist therapy for diabetes: benefits and potential risks. Curr Opin Endocrinol Diabetes Obes. 2013;20(2):87–97. doi: 10.1097/MED.0b013e32835edb32. [DOI] [PubMed] [Google Scholar]
- 78. Rahmani S, Noorolyai S, Ayromlou H, Khaze Shahgoli V, Shanehbandi D, et al. The expression analyses of RMRP, DDX5, and RORC in RRMS patients treated with different drugs versus naïve patients and healthy controls. Gene. 2021;769:145236. doi: 10.1016/j.gene.2020.145236. [DOI] [PubMed] [Google Scholar]
- 79. VRS, CR Crystal structure determination, hirshfeld surface analysis and quantum computational studies of (3E,5E)-1-ethyl-3,5-bis (naphthalen-1-yl-methylidene) piperidin-4-one: A novel RORc inhibitor. Journal of Molecular Structure. 2021;1225:129313. doi: 10.1016/j.molstruc.2020.129313. [DOI] [Google Scholar]
- 80. Allen M, Kachadoorian M, Quicksall Z, Zou F, Chai HS, et al. Association of MAPT haplotypes with Alzheimer’s disease risk and MAPT brain gene expression levels. Alzheimer’s Research & Therapy. 2014;6(4):39. doi: 10.1186/alzrt268. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 81. Corrado L, Mazzini L, Oggioni GD, Luciano B, Godi M, et al. ATXN-2 CAG repeat expansions are interrupted in ALS patients. Human Genetics. 2011;130(4):575–580. doi: 10.1007/s00439-011-1000-2. [DOI] [PubMed] [Google Scholar]
- 82. Fukuda H, Li S, Sardo L, Smith JL, Yamashita K, et al. Structural Determinants of the APOBEC3G N-Terminal Domain for HIV-1 RNA Association. Frontiers in Cellular and Infection Microbiology. 2019;9 doi: 10.3389/fcimb.2019.00129. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 83. Liddament MT, Brown WL, Schumacher AJ, Harris RS. APOBEC3F Properties and Hypermutation Preferences Indicate Activity against HIV-1 In Vivo. Current Biology. 2004;14(15):1385–1391. doi: 10.1016/j.cub.2004.06.050. [DOI] [PubMed] [Google Scholar]
- 84. Rankin J, Ellard S. The laminopathies: a clinical review. Clin Genet. 2006;70(4):261–74. doi: 10.1111/j.1399-0004.2006.00677.x. [DOI] [PubMed] [Google Scholar]
- 85. Raineri S, Mellor J. IDH1: Linking Metabolism and Epigenetics. Frontiers in Genetics. 2018;9 doi: 10.3389/fgene.2018.00493. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 86.Asmar F, Søgaard A, Grønbæk K. In: Chapter 2 - DNA Methylation and Hydroxymethylation in Cancer, in Epigenetic Cancer Therapy. Gray SG, editor. Boston: Academic Press; 2015. pp. 9–30. [Google Scholar]
- 87. Li X, Wang J, Coutavas E, Shi H, Hao Q, et al. Structure of human Niemann–Pick C1 protein. Proceedings of the National Academy of Sciences. 2016;113(29):8212–8217. doi: 10.1073/pnas.1607795113. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 88. Sun P, Li L, Li Z. RAB9A Plays an Oncogenic Role in Human Liver Cancer Cells. BioMed Research International. 2020;2020:5691671. doi: 10.1155/2020/5691671. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 89. Xu C, Cheng F, Chen L, Du Z, Li W, et al. In silico Prediction of Chemical Ames Mutagenicity. Journal of Chemical Information and Modeling. 2012;52(11):2840–2847. doi: 10.1021/ci300400a. [DOI] [PubMed] [Google Scholar]
- 90.Boelsterli UA, Kashimshetty R. In: 917 - Idiosyncratic Drug-Induced Liver Injury: Mechanisms and Susceptibility Factors, in Comprehensive Toxicology (Second Edition) McQueen CA, editor. Oxford: Elsevier; 2010. pp. 383–402. [Google Scholar]
- 91. Morales AH, Pérez MÁC, Combes RD, González MP. Quantitative structure activity relationship for the computational prediction of nitrocompounds carcinogenicity. Toxicology. 2006;220(1):51–62. doi: 10.1016/j.tox.2005.11.024. [DOI] [PubMed] [Google Scholar]
- 92. Nepali K, Lee H-Y, Liou J-P. Nitro-Group-Containing Drugs. Journal of Medicinal Chemistry. 2019;62(6):2851–2893. doi: 10.1021/acs.jmedchem.8b00147. [DOI] [PubMed] [Google Scholar]
- 93. Daina A, Zoete V. A BOILED-Egg To Predict Gastrointestinal Absorption and Brain Penetration of Small Molecules. ChemMedChem. 2016;11(11):1117–1121. doi: 10.1002/cmdc.201600182. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 94. Özdemir M, Koksoy B, Ceyhan D, Bulut M, Yalcin B. In silico, 6LU7 protein inhibition using dihydroxy-3-phenyl coumarin derivatives for SARS-CoV-2. Journal of the Turkish Chemical Society Section A: Chemistry. 2020:7. doi: 10.18596/jotcsa.753157. [DOI] [Google Scholar]
- 95. Özdemir M, Köksoy B, Ceyhan D, Sayın K, Erçağ E, et al. Design and in silico study of the novel coumarin derivatives against SARS-CoV-2 main enzymes. Journal of Biomolecular Structure and Dynamics. 2020:1–16. doi: 10.1080/07391102.2020.1863263. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 96. Mohapatra RK, Perekhoda L, Azam M, Suleiman M, Sarangi AK, et al. Computational investigations of three main drugs and their comparison with synthesized compounds as potent inhibitors of SARS-CoV-2 main protease (Mpro): DFT, QSAR, molecular docking, and in silico toxicity analysis. Journal of King Saud University - Science. 2021;33(2):101315. doi: 10.1016/j.jksus.2020.101315. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 97. Chhetri A, Chettri S, Rai P, Mishra DK, Sinha B, et al. Synthesis, characterization and computational study on potential inhibitory action of novel azo imidazole derivatives against COVID-19 main protease (Mpro: 6LU7) Journal of Molecular Structure. 2021;1225:129230. doi: 10.1016/j.molstruc.2020.129230. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 98. Gerçek Z, Ceyhan D, Erçağ E. Synthesis and molecular docking study of novel COVID-19 inhibitors. Turkish Journal of Chemistry. 2021;45(3):704–718. doi: 10.3906/kim-2012-25. [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Table S1.
Single-crystal X-ray data of the title compound and the refinement parameters.
| Crystal data | |
|---|---|
| CCDC deposition number | 2082426 |
| Chemical formula | C19H21N3O3 |
| Formula weight | 339.39 |
| Temperature (K) | 296 |
| Wavelength (Å) | 0.71073 |
| Crystal system | Monoclinic |
| Space group | P21/n |
| Unit cell parameters | |
| a≠b≠c (Å) | 10.1685(16), 13.3628(15), 13.416(2) |
| α=γ≠β (°) | 90.00, 90.00, 107.854 (12) |
| Crystal size (mm) | 0.71 × 0.48 × 0.24 |
| Z | 4 |
| Volume, V (Å3) | 1735.2(4) |
| μ (mm−1) | 0.09 |
| F (000) | 720 |
| θ min-max (°) | 12.6–35.1 |
| Calculated density (Mgm−3) | 1.299 |
| Color and shape | Yellow, prism |
| Data collection | |
| Diffractometer | STOE IPDS 2 |
| θ min-max for data collection (°) | 2.6–26.0 |
| Index ranges; h, k, l | −10→12, −13→16, −16→16 |
| Measurement method | Scans |
| Reflections collected | 9358 |
| Independent reflections | 3398 |
| Reflections with I> 2σ(I) | 2080 |
| Absorption correction | Integration ((X-RED32; Stoe and Cie, 2002) |
| Tmin-max | 0.948–0.979 |
| Rint | 0.049 |
| Refinement | |
| Refinement method | Full matrix least squares on F2 |
| Parameters | 227 |
| R [F2 > 2σ(F2)] | 0.041 |
| wR(F2) | 0.094 |
| GooF=S | 0.91 |
| Δρmin-max (e Å−3) | −0.13, 0.14 |
| w = 1/[σ2(Fo2) + (0.0638P)2 + 0.3411P], where P = (Fo2 + 2Fc2)/3, (Δ/σ)max < 0.001, | |
| Extinction correction: SHELXL-2014/7 (Sheldrick 2014). | |
Table S2.
The calculated and measured bond length values of the title compound.
| Bond length | B3LYP | Exp. |
|---|---|---|
| O3—C18 | 1.3713 | 1.382 (2) |
| O3—C19 | 1.4213 | 1.429 (2) |
| N2—C5 | 1.4083 | 1.406 (2) |
| N2—C8 | 1.4673 | 1.473 (2) |
| N2—C12 | 1.4783 | 1.479 (2) |
| N3—C7 | 1.2824 | 1.277 (2) |
| N3—C13 | 1.4006 | 1.418 (2) |
| O1—N1 | 1.2316 | 1.235 (2) |
| N1—O2 | 1.2337 | 1.230 (2) |
| N1—C2 | 1.4647 | 1.465 (2) |
| C7—C6 | 1.4747 | 1.480 (2) |
| C7—H7 | 1.0908 | 0.9300 |
| C6—C1 | 1.3989 | 1.396 (2) |
| C6—C5 | 1.425 | 1.427 (2) |
| C5—C4 | 1.4108 | 1.412 (2) |
| C13—C14 | 1.4032 | 1.404 (2) |
| C13—C18 | 1.4214 | 1.414 (2) |
| C14—C15 | 1.3919 | 1.380 (3) |
| C14—H14 | 1.0851 | 0.9300 |
| C2—C3 | 1.3954 | 1.384 (3) |
| C2—C1 | 1.3876 | 1.385 (2) |
| C18—C17 | 1.3983 | 1.390 (3) |
| C12—C11 | 1.5304 | 1.517 (3) |
| C12—H12A | 1.1055 | 0.9700 |
| C12—H12B | 1.0908 | 0.9700 |
| C1—H1 | 1.0823 | 0.9300 |
| C4—C3 | 1.3868 | 1.378 (3) |
| C4—H4 | 1.0828 | 0.9300 |
| C3—H3A | 1.0827 | 0.9300 |
| C17—C16 | 1.3965 | 1.389 (3) |
| C17—H17 | 1.0832 | 0.9300 |
| C8—C9 | 1.532 | 1.517 (3) |
| C8—H8A | 1.0834 | 0.9700 |
| C8—H8B | 1.1062 | 0.9700 |
| C11—C10 | 1.5337 | 1.529 (3) |
| C11—H11A | 1.0966 | 0.9700 |
| C11—H11B | 1.0968 | 0.9700 |
| C15—C16 | 1.3928 | 1.379 (3) |
| C15—H15 | 1.0852 | 0.9300 |
| C16—H16 | 1.0858 | 0.9300 |
| C9—C10 | 1.5329 | 1.521 (3) |
| C9—H9A | 1.0968 | 0.9700 |
| C9—H9B | 1.096 | 0.9700 |
| C10—H10A | 1.0956 | 0.9700 |
| C10—H10B | 1.0991 | 0.9700 |
| C19—H19A | 1.0972 | 0.9600 |
| C19—H19B | 1.0966 | 0.9600 |
Table S3.
The calculated and measured bond angle values of the title compound.
| Bond angle | B3LYP | Exp. |
|---|---|---|
| C18—O3—C19 | 117.9116 | 117.61 (15) |
| C5—N2—C8 | 117.3559 | 117.57 (14) |
| C5—N2—C12 | 116.3752 | 117.31 (13) |
| C8—N2—C12 | 112.0595 | 111.20 (13) |
| C7—N3—C13 | 123.512 | 123.96 (15) |
| O2—N1—O1 | 124.406 | 122.87 (18) |
| O2—N1—C2 | 117.6418 | 118.15 (19) |
| O1—N1—C2 | 117.9521 | 118.96 (16) |
| N3—C7—C6 | 120.3003 | 119.71 (15) |
| N3—C7—H7 | 123.2613 | 120.1 |
| C6—C7—H7 | 116.3552 | 120.1 |
| C1—C6—C5 | 119.3966 | 119.37 (16) |
| C1—C6—C7 | 118.9256 | 117.49 (15) |
| C5—C6—C7 | 121.5157 | 122.78 (15) |
| N2—C5—C4 | 121.3611 | 120.96 (16) |
| N2—C5—C6 | 120.0819 | 120.74 (15) |
| C4—C5—C6 | 118.5476 | 118.25 (17) |
| C14—C13—C18 | 118.0087 | 117.35 (16) |
| C14—C13—N3 | 115.9861 | 115.56 (15) |
| C18—C13—N3 | 125.8697 | 127.02 (15) |
| C15—C14—C13 | 122.0243 | 122.75 (17) |
| C15—C14—H14 | 121.0932 | 118.6 |
| C13—C14—H14 | 116.8814 | 118.6 |
| C3—C2—C1 | 121.3513 | 121.30 (17) |
| C3—C2—N1 | 119.1791 | 119.95 (17) |
| C1—C2—N1 | 119.4628 | 118.71 (17) |
| O3—C18—C17 | 123.0735 | 123.13 (16) |
| O3—C18—C13 | 117.1253 | 116.91 (15) |
| C17—C18—C13 | 119.7842 | 119.93 (17) |
| N2—C12—C11 | 111.0694 | 110.75 (14) |
| N2—C12—H12A | 109.4321 | 109.5 |
| C11—C12—H12A | 109.5931 | 109.5 |
| N2—C12—H12B | 109.1818 | 109.5 |
| C11—C12—H12B | 110.2807 | 109.5 |
| H12A—C12—H12B | 107.1988 | 108.1 |
| C2—C1—C6 | 120.2402 | 120.23 (17) |
| C2—C1—H1 | 120.6299 | 119.9 |
| C6—C1—H1 | 119.0941 | 119.9 |
| C3—C4—C5 | 121.5246 | 121.42 (18) |
| C3—C4—H4 | 118.6577 | 119.3 |
| C5—C4—H4 | 119.7861 | 119.3 |
| C4—C3—C2 | 118.8524 | 119.43 (17) |
| C4—C3—H3A | 121.5638 | 120.3 |
| C2—C3—H3A | 119.5709 | 120.3 |
| C16—C17—C18 | 120.6792 | 120.48 (18) |
| C16—C17—H17 | 119.2051 | 119.8 |
| C18—C17—H17 | 120.113 | 119.8 |
| N2—C8—C9 | 110.5135 | 110.87 (16) |
| N2—C8—H8A | 108.377 | 109.5 |
| C9—C8—H8A | 109.9995 | 109.5 |
| N2—C8—H8B | 111.3825 | 109.5 |
| C9—C8—H8B | 109.0347 | 109.5 |
| H8A—C8—H8B | 107.4803 | 108.1 |
| C12—C11—C10 | 111.2726 | 110.75 (17) |
| C12—C11—H11A | 108.8787 | 109.5 |
| C10—C11—H11A | 110.5794 | 109.5 |
| C12—C11—H11B | 108.756 | 109.5 |
| C10—C11—H11B | 109.8197 | 109.5 |
| H11A—C11—H11B | 107.4352 | 108.1 |
| C16—C15—C14 | 119.259 | 118.63 (18) |
| C16—C15—H15 | 120.6244 | 120.7 |
| C14—C15—H15 | 120.1082 | 120.7 |
| C15—C16—C17 | 120.185 | 120.83 (18) |
| C15—C16—H16 | 120.5368 | 119.6 |
| C17—C16—H16 | 119.2749 | 119.6 |
| C8—C9—C10 | 111.096 | 111.76 (15) |
| C8—C9—H9A | 108.7378 | 109.3 |
| C10—C9—H9A | 109.829 | 109.3 |
| C8—C9—H9B | 108.9651 | 109.3 |
| C10—C9—H9B | 110.8098 | 109.3 |
| H9A—C9—H9B | 107.3022 | 107.9 |
| C9—C10—C11 | 110.1514 | 109.04 (16) |
| C9—C10—H10A | 110.6369 | 109.9 |
| C11—C10—H10A | 110.646 | 109.9 |
| C9—C10—H10B | 109.3121 | 109.9 |
| C11—C10—H10B | 109.3268 | 109.9 |
| H10A—C10—H10B | 106.691 | 108.3 |
| O3—C19—H19A | 111.7356 | 109.5 |
| O3—C19—H19B | 111.4225 | 109.5 |
| H19A—C19—H19B | 109.1408 | 109.5 |
| O3—C19—H19C | 106.0313 | 109.5 |
| H19A—C19—H19C | 108.9719 | 109.5 |
| H19B—C19—H19C | 109.457 | 109.5 |
Table S4.
The calculated and measured dihedral angle values of the title compound.
| Dihedral angle | B3LYP | Exp. |
|---|---|---|
| C13—N3—C7—C6 | −177.4069 | −173.59 (14) |
| N3—C7—C6—C1 | 11.9856 | 23.1 (2) |
| N3—C7—C6—C5 | −172.6713 | −163.85 (14) |
| C8—N2—C5—C4 | −21.2475 | 14.0 (2) |
| C12—N2—C5—C4 | −115.5165 | −122.78 (17) |
| C8—N2—C5—C6 | −157.6223 | −163.30 (14) |
| C12—N2—C5—C6 | 65.6137 | 59.93 (19) |
| C1—C6—C5—N2 | −177.6607 | 178.00 (13) |
| C7—C6—C5—N2 | 7.0177 | 5.1 (2) |
| C1—C6—C5—C4 | 3.4379 | 0.6 (2) |
| C7—C6—C5—C4 | −171.8837 | −172.28 (14) |
| C7—N3—C13—C14 | −146.5829 | 150.97 (16) |
| C7—N3—C13—C18 | −37.755 | −32.2 (2) |
| C18—C13—C14—C15 | 2.8046 | 1.4 (2) |
| N3—C13—C14—C15 | 178.8237 | 178.52 (15) |
| O2—N1—C2—C3 | −0.6199 | −7.2 (2) |
| O1—N1—C2—C3 | 179.2988 | 171.88 (17) |
| O2—N1—C2—C1 | 178.4461 | 170.37 (16) |
| O1—N1—C2—C1 | −1.6352 | −10.5 (2) |
| C19—O3—C18—C17 | 10.6209 | −3.2 (3) |
| C19—O3—C18—C13 | −167.8739 | 178.78 (16) |
| C14—C13—C18—O3 | 177.2472 | 177.67 (14) |
| N3—C13—C18—O3 | 1.6641 | 0.9 (2) |
| C14—C13—C18—C17 | −1.2993 | −0.5 (2) |
| N3—C13—C18—C17 | −176.8826 | −177.24 (16) |
| C5—N2—C12—C11 | −162.6825 | −161.74 (15) |
| C8—N2—C12—C11 | −58.3476 | 58.9 (2) |
| C3—C2—C1—C6 | −0.4093 | 0.1 (2) |
| N1—C2—C1—C6 | −179.4544 | −177.44 (14) |
| C5—C6—C1—C2 | −2.1637 | −0.6 (2) |
| C7—C6—C1—C2 | 173.2798 | 172.71 (14) |
| N2—C5—C4—C3 | 178.8666 | −177.59 (15) |
| C6—C5—C4—C3 | −2.2467 | −0.2 (2) |
| C5—C4—C3—C2 | −0.2714 | −0.2 (2) |
| C1—C2—C3—C4 | 1.6429 | 0.3 (2) |
| N1—C2—C3—C4 | −179.3094 | 177.82 (14) |
| O3—C18—C17—C16 | −179.1932 | −179.03 (17) |
| C13—C18—C17—C16 | −0.7367 | −1.0 (3) |
| C5—N2—C8—C9 | 162.3447 | 163.00 (14) |
| C12—N2—C8—C9 | −59.1211 | −57.74 (19) |
| N2—C12—C11—C10 | −54.8559 | −57.9 (2) |
| C13—C14—C15—C16 | −2.2182 | −0.7 (3) |
| C14—C15—C16—C17 | 0.0843 | −0.8 (3) |
| C18—C17—C16—C15 | 1.3698 | 1.7 (3) |
| N2—C8—C9—C10 | 56.8131 | 56.3 (2) |
| C8—C9—C10—C11 | −53.6878 | −54.6 (2) |
| C12—C11—C10—C9 | 52.7361 | 55.2 (2) |
FTIR spectrum of the title compound.
UV-Vis spectrum of the title compound.
Grid box including the active residues in Mpro of SARS-CoV-2.
The comparative docking results of reference inhibitor N3 and query compound.












0.233
