Skip to main content

Synthesis, DFT and molecular docking of novel (Z)-4-bromo-N-(4-butyl-3 (quinolin-3-yl)thiazol-2(3H)-ylidene)benzamide as elastase inhibitor


A new compound, C23H20BrN3OS, containing a quinoline-based iminothiazoline with a thiazoline ring, was synthesized and its crystal and molecular structures were analyzed through single crystal X-ray analysis. The compound belongs to the triclinic system P − 1 space group, with dimensions of a = 9.2304 (6) Å, b = 11.1780 (8) Å, c = 11.3006 (6) Å, α = 107.146 (5)°, β = 93.701 (5)°, γ = 110.435 (6)°, Z = 2 and V = 1025.61 (12) Å3. The crystal structure showed that C–H···N and C–H···O hydrogen bond linkages, forming infinite double chains along the b-axis direction, and enclosing R22(14) and R22(16) ring motifs. The Hirshfeld surface analysis revealed that H…H (44.1%) and H…C/C…H (15.3%) interactions made the most significant contribution. The newly synthesized (Z)-4-bromo-N-(4-butyl-3 (quinolin-3-yl)thiazol-2(3H)-ylidene)benzamide, in comparison to oleanolic acid, exhibited more strong potential against elastase with an inhibition value of 1.21 µM. Additionally, the derivative was evaluated using molecular docking and molecular dynamics simulation studies, which showed that the quinoline based iminothiazoline derivative has the potential to be a novel inhibitor of elastase enzyme. Both theoretical and experimental findings suggested that this compound could have a number of biological activities.

Peer Review reports


The presence of a quinoline moiety (as illustrated in Fig. 1) in different type of scaffolds is responsible for the variety of the biological activities, including anthelmintic, analgesic, anticonvulsant, antibacterial, cardiotonic, anti-inflammatory, antimalarial, and antifungal activities [1]. Many pharmacologically active compounds and natural products contain quinoline functionality, including Cinchona Alkaloids [2]. Chloroquine I, a well-known quinoline-based medicine, has played a crucial role in eradicating and controlling malaria for several decades. This drug has been demonstrated to impact the parasite's life cycle during the blood stages [3].

Fig. 1
figure 1

Illustration of biologically significant thiazoline and quinoline derivatives [19,20,21,22,23]

Another group of compounds i.e., Thiazoline-based heterocyclic compounds have been shown to possess various pharmacological applications in the medicinal chemistry as well as in industry including their antipyretic, antiallergic [4], antibiotic [5], anticonvulsant II [6, 7], antifungal III [8], antihypertensive [9], anti-HIV IV [10], anti-inflammatory [11], antirheumatic, antitumor [12], antimalarial, analgesic [13], and cytotoxic effects [14]. Among them, 3-methylthiazolidine is a potent inhibitor of indole ethylamine N-methyltransferase (INMT) [15] and has potential as a therapeutic agent for treating schizophrenia [16]. Thiacloprid, a commercially available iminothiazoline insecticide developed by Bayer CropScience [17], and 2-imino-3-(benzoylmethyl)thiazolidine, which has effective radioprotective activity against γ-radiation [18], are other examples of thiazoline-based compounds with various applications. Hydroxy thiazole carboxylate II is well-known potential inhibitor of IF-α prolyl hydroxylase, while PS-028 is a known antagonist, which selectively inhibit GPIIb/IIIa [19, 20].

The scaffold V containing 2-Imino-1,3-thiazoline has exhibited significant dose-dependent inhibition of melanin production, indicating its potential as a skin whitening agent [21]. Pifithrin-α VI, an iminothiazoline compound, is known for its ability to reversibly inhibit p53-dependent gene transcription and p53-mediated apoptosis, making it a valuable therapeutic agent [22]. In addition, the use of thiazolines as plant growth regulators has shown potential for enhancing crop growth and yield, improving stress tolerance, and reducing environmental impacts associated with conventional farming practices [23]. As such, thiazolines are poised to play an increasingly important role in the future of agriculture as a key component of integrated pest management and sustainable crop production. Additionally, natural products such as mirabazoles, tantazoles, and thiangazole, which contain thiazoline functionality, have demonstrated anticancer and anti-HIV activities [14].

The skin is a primary target of oxidative stress because reactive oxygen species (ROS) can both be produced by and be found in the skin itself. ROS are produced as a natural byproduct of regular metabolic processes; they are an essential component of normal cellular function; nevertheless, they rarely cause significant damage due to the presence of intracellular mechanisms that mitigate the effects of their toxicity [24]. Antioxidants reduce the harmful effects of reactive oxygen species (ROS) and have the ability to impede or even revert the progression of many of the events that lead to epidermal toxicity and disease [25]. Prolonged exposure to ultraviolet radiations causes the stimulation of reactive oxygen species (ROS) in the skin which results in premature aging [26]. The storage of ROS in the skin can play a role for the activation of disease-causing enzymes including elastase and tyrosinase [27]. Elastase is a serine protease enzyme that cleaves elastin, a component of the extracellular matrix in connective tissue help in manage the elasticity of skin through the formation of elastic fibers in the skin. Several studies suggest that skin aging effect is associated with decomposition of elastin [28]. The active site of elastase consists of the catalytic triad of residues: His57, Asp102, and Ser195, with His57 acting as a proton acceptor, Aspartic as a proton donor, and Serine as the nucleophile that attacks the substrate peptide bond. Elastase also has an oxyanion hole that stabilizes the transition state during catalysis [29]. Other important residues for inhibition include Gly216 and Ala218, which form the "oxyanion hole" that stabilizes the tetrahedral intermediate during catalysis, and Valine and Serine residues, which form a hydrophobic pocket that accommodates the substrate. The structure of elastase also includes a flexible loop region, residues 192–205, which undergoes conformational changes during catalysis and can affect inhibitor binding. Overall, the availability of structural data and knowledge of the active site residues of elastase are essential for the design of effective inhibitors for this enzyme [30].

A potential elastase inhibitor with good antioxidant potential was explored using quinoline-based iminothiazoline analogue. Experimental results were validated by computational approaches, including density functional theory calculation, molecular docking, and molecular dynamics studies. The study suggested that the designed molecule has potential for further exploration at the molecular level, leading to the synthesis of drug-like molecules with greater potential and safety profiles. This approach may provide an efficient way to protect against skin aging by inhibiting elastase enzyme activity.

Results and discussion


A novel iminothiazoline analogue with a quinoline base was synthesized using a multi-step chemical process. The initial reaction involved the combination of pentanoyl chloride 1 with potassium thiocyanate in a dry acetone solvent, followed by the addition of 3-aminoquinoline 3 to generate acyl thiourea 4. The purified acyl thiourea 4 was then mixed with p-bromophenacylbromide 5 to produce (Z)-4-bromo-N-(4-butyl-3-(quinolin-3-yl)thiazol-2(3H)-ylidene)benzamide 6, as demonstrated in Scheme 1. The use of dry solvents throughout the process helped to prevent the hydrolysis of isothiocyanate 2 due to moisture. Moreover, the final step was performed under a nitrogen atmosphere to prevent any unwanted side products from forming.

Scheme 1
scheme 1

Synthesis scheme for quinolinyl iminothiazoline 6


Scheme 2 shows the mechanism of the synthesis, which proceeds through several steps. Initially, sulfur attacks the alpha carbon of p-bromophenacylbromide, and the acidic N-1 proton transfers to a base to form the isothiourea intermediate 7. This intermediate undergoes rearrangement of alkyl and aryl groups, facilitated by the removal of a proton from N-3. The rearranged intermediate 8 has a negative charge on N-3, which then attacks the carbonyl group. The final step involves dehydration, resulting in the formation of the product. The spectral characterization of the compound is given in the Additional file 1: Table S1.

Scheme 2
scheme 2

Mechanistic route for conversion of acyl thiourea to quinolinyl iminothiazoline 6

X-ray data collection, structure solution, and refinement

The x-ray analysis revealed that the analyzed compound contains a bicyclic system consisting thiazole ring. The thiazole ring is not visible in the molecular structure due to its conformation, while the pyridine ring forms a part of the bicyclic system. The molecular structure, depicted in Fig. 2, shows that planar rings A (S1/N2/C2–C4), B (C5–C10), C (N3/C11–C13/C18/C19), and D (C13–C18) are positioned at dihedral angles of A/B = 6.03(6)°, A/C = 66.27(6)°, A/D = 67.56(6)°, B/C = 72.01(5)°, B/D = 73.34(6)°, and C/D = 1.96(5)°. Additionally, atoms Br1, C1, and O1 are situated − 0.0598(3) Å, − 0.0325(20) Å, and 0.0527(15) Å away from the best least-square plane of ring B, respectively, indicating that they are nearly coplanar with the ring plane.

Fig. 2
figure 2

X-ray structure analysis of quinolinyl iminothiazoline 6

The crystal structure analysis revealed that the molecules in the compound form infinite double chains along the b-axis direction through C–H···N and C-H···O hydrogen bonds. These chains form R22(14) and R22(16) ring motifs (shown in Fig. 3). Additionally, π–π interactions were observed with centroid to centroid distances of Cg2…Cg2i = 3.7364(13) Å and Cg3…Cg3ii = 3.4714(12) Å [symmetry codes: (i) 1 − x, 1 − y, 2 − z, (ii) − x, − y, 1 − z, where Cg2 and Cg3 are the centroids of the rings B and C, respectively], and a weak C–H···π interaction (Table 1) further reinforce a three-dimensional architecture (Fig. 3).

Fig. 3
figure 3

A partial packing diagram viewed down the b-axis direction. Intermolecular C–H···O and C–H···N hydrogen bonds represented as dashed lines

Table 1 The representation of hydrogen-bond geometry (Å, º) of the synthesized Compound

The distance between atoms involved in hydrogen bonding in the titled compound was calculated and three types of hydrogen bonds were observed: 3 D----H and H---A. More information about the hydrogen bonding can be found in Table 1.

Intermolecular C–H···O and C–H···N hydrogen bonds were linking the titled molecule. The compound was crystallized in triclinic system according to X-ray diffraction data. The dimensions and volume of the unit cell were as follows; a = 9.2304 (6) Å, b = 11.1780 (8) Å, c = 11.3006 (6) Å and V = 1025.61 (12) (Å3).

Hirshfeld surface analysis

Contact distances and different electrostatic potential were expressed as different-coloured regions of Hirshfeld surface analysis. Red-colour regions was representing shorter contacts whereas blue-colour regions exhibited longer contacts. Various electrostatic regions are represented in Figs. 4 and 5.

Fig. 4
figure 4

It displays three different 3D views of the compound. The first view (A) shows the compound plotted over d norm, while the second view (B) displays the compound V/S electrostatic potential energy. Finally, the third view (C) shows the compound V/S shape-index

Fig. 5
figure 5

The comprehensive 2D fingerprint plots displaying all of the interactions involving compound 6 (a), which are separated into (b) H … H(44.1%), (c) H … C/C … H (15.3%), (d) H … Br/Br … H (8.4%), (e) H … O/O … H (6.7%), (f) H … S/S … H (6.3%), (g) C … C (5.6%), (h) H … N/N … H (4.9%), (i) C … Br/Br … C (4.0%), (j) C … N/N … C (2.5%), (k) S … Br/Br … S (0.6%), (l) N … Br/Br … N (0.5%), (m) O … Br/Br … O (0.4%), (n) N … S/S … N (0.4%), (o) C …S/S … C (0.2%) and (p) N … N (0.2%)

Figure 5 provides an illustration of the 2D fingerprint plot of the compound. This plot depicts the numerous interactions, such as H…H, H…C/C…H, H…Br/Br…H, H…O/O…H, H…S/S…H, C…C, H…N/N…H, C…Br/Br…C, C…N/N…C, S…Br/Br…S, N…Br/Br…N, O…Br/Br…O, N…S/S…N, C…S/S…C and N…N [31] are separated and shown in Fig. 5b–p. The contribution of the most significant interaction, H…H interaction, to the crystal packing is 44.1%, as shown in Fig. 5b with de = di = 1.05 Å. The detailed explanation can be found in the Additional file 1.

HS representation of hydrogen bonds was illustrated using Dnorm function. Figure 6a is representing different colored surface for H…H interactions. The red color surface is depicting strong dominance of H…H interactions whereas blue colored region is representing slightly weaker interactions. In contrast, Fig. 6b is illustration of H … C/C … H interactions. These interactions were slightly compromised and localized to certain areas of titled compound. Detailed representation is provided below in Fig. 6.

Fig. 6
figure 6

The Hirshfeld surface illustration; (a) H … H (b) H … C/C … H interactions

Crystal voids

The mechanical stability of a crystal is largely determined by the strength of its packing, as applied mechanical forces depend on how tightly molecules are packed. A crystal with large empty spaces or voids is more susceptible to external forces, making it less mechanically stable. In order to assess the mechanical stability of the crystal under investigation, we performed crystal void analysis by adding electron densities in the asymmetric units. The crystal void volume was measured to be 112.74 Å3, while the free spaces percentage in the unit cell was found to be 10.99%. This indicates that there are no large cavities in the crystal packing, suggesting that the crystal has good mechanical stability. [32, 33]. These results are further supported by the optimized crystal structure shown in Fig. 7a, b. The information on voids in the crystal structure of a ligand can provide insights into the binding mode and dynamics of the ligand with its target protein. The presence of large voids or cavities in the crystal structure of the ligand may indicate that the ligand has flexible regions or conformations that can potentially interact with different regions of the protein surface. This can have an effect on the docking score, as well as the expected binding mechanism of the ligand to the protein, as well as the stability and dynamics of the system when it is simulated [33].

Fig. 7
figure 7

Graphical representation of crystal voids of the title compound (a) along a-axis and (b) along b-axis

On the other hand, if the crystal structure of the ligand reveals that it has few voids or contacts that are tightly packed, this may indicate that the structure is more solid or stable and that it interacts with particular parts of the protein surface. During the simulation investigations, this can provide more confidence in the projected binding mechanism and stability of the ligand. Because of this, the information on voids and packing in the crystal structure of a ligand can be a helpful complement to docking and dynamics studies. This is because it can help to understand the potential binding modes and conformations of the ligand with the protein surface, and it can also help to optimize the stability and efficacy of the ligand as a drug candidate [33, 34].

Density functional theory (DFTs) studies

The molecule that was synthesized was then optimized with regard to its structural geometries, and frequency calculations were carried out with the assistance of the DFT/B3LYP functional correlation and the cc-pVDZ basis set. The most important purpose of optimization was to rearrange the atoms in the molecule in such a way that it would result in the lowest possible amount of energy being used. In addition to that, frequency calculations were performed for each individual atom that was included in the manufactured molecule. Figure 8 is a depiction of the optimized geometrical properties of the newly manufactured molecule.

Fig. 8
figure 8

Optimized structure

The optimization method revealed no imaginary frequencies, indicating that the present geometries were true local minima. Table 2 summarizes the optimized geometry parameters, including optimization energy and polarizability.

Table 2 Optimized geometry parameters

The frontier molecular orbitals, or FMOs, are a type of molecular orbital that can provide light on a molecule's reactivity as well as its chemical properties, such as its hardness and softness. In the current effort of creating a ligand for the inhibition of elastase, the study of FMOs can be helpful in understanding the potential interactions that could occur between the ligand and the active site of the enzyme, as well as in optimizing the chemical characteristics of the ligand for improved binding affinity and inhibition potency. The nucleophilic character of a molecule is often connected with the HOMO, while the electrophilic character is generally linked with the LUMO. The amount of energy that differs between these orbitals is referred to as the HOMO–LUMO gap, and it is a crucial predictor of both the reactive and stable properties of a molecule. The HOMO and LUMO energies were determined to be − 0.2165 and − 0.075 eV, respectively, in the course of this research. As was said in the previous section [35], the comparatively modest energy gap of 0.1430 eV shows that compound 6 possesses an adequate amount of reactivity. The energy gap can be thought of as a measurement of the amount of energy needed to excite an electron from the most highly occupied molecular orbital (HOMO) to the least highly occupied molecular orbital (LUMO). A small energy gap implies that the compound can easily undergo electronic transitions and can react with other molecules or undergo photochemical reactions. Therefore, the small energy gap of compound 6 suggests that it is more reactive and can readily undergo chemical reactions [35, 36]. Moreover, the compound's chemical hardness and softness values further support its reactivity. Notably, compound 6 displayed a softness value of 6.99, indicating that it is highly polarizable and thus more likely to undergo reactions. The electronic parameters of the synthesized crystal are presented in Table 3.

Table 3 Electronic Parameters of selected crystal (6)

The FMOs analysis was established to determine the localization of HOMO and LUMO orbitals on compound 6. The maximum HOMO delocalization was observed at the five membered hetrocyclic ring while two fused benzene ring show no delocalization, a reciprocal trend was observed in case of LUMO orbitals. FMOs are illustrated in Fig. 9.

Fig. 9
figure 9

FMOs analysis of compound 6

The global and local reactivity descriptors are prime analytical metrics in regulating the chemical reactivity profile of the compound. Various descriptors including ionization energy, electron affinity, electronegativity and electrophilicity contributed substantially toward reactivity of the compound. As tabulated below, it can be observed that compound possessed ionization energy of 0.2165 with comparable electron donating power of 0.234. Whereas, electron accepting and elecrophilicity index is lower than electron donating power which means compound donate electrons readily. The reactivity descriptors of compound 6 is mentioned in Table 4.

Table 4 Reactivity descriptors of compound 6

Elastase inhibition assay

Elastase from porcine pancreas was used to investigate the inhibitory potential of the titled compound. The titled compound showed good inhibitory potential against elastase i.e. IC50 1.21 µM as compared to the oleanolic acid with an IC50 value of 13.45 µM which has also been reported earlier [37,38,39,40] and is shown in Fig. 10.

Fig. 10
figure 10

IC50 Curves of quinolinyl iminothiazoline 6 and Oleanolic Acid. A The concentrations of quinolinyl iminothiazoline 6 and Oleanolic Acid. B Curves of log concentrations vs Inhibition % of quinolinyl iminothiazoline 6 and Oleanolic Acid. IC50 value was calculated by Graph Pad Prism 5.0 using nonlinear regression [41]

Molecular docking studies

Molecular docking studies have been widely used to predict the binding affinity of ligands against target proteins. In this study, we performed molecular docking studies to investigate the binding affinity of the synthesized crystal and the standard quercetin against the elastase protein. Elastase enzyme is an important serine protease that plays a crucial role in a variety of physiological processes, including tissue remodeling, inflammation, and host defense. However, its dysregulation has been associated with a number of diseases, such as emphysema, chronic obstructive pulmonary disease (COPD), and cystic fibrosis. Therefore, the development of inhibitors that can selectively target and regulate elastase activity has become an area of great interest in the pharmaceutical industry.

As a result of the findings, it was demonstrated that compound 6 and the quercetin could dock into the active pocket of the elastase protein. Compared to the standard quercetin, which showed a docking value of − 7.2 kcal/mol, the crystal displayed a higher docking score of − 7.4 kcal/mol. This suggests that the crystal has a greater ability to suppress the elastase enzyme's activity. The docking outcomes also showed that the crystal exhibited a number of non-covalent contacts, such as hydrogen bonds and hydrophobic interactions, with the active site residues of the elastase protein. These interactions might help explain why the crystal has a higher affinity for the elastase protein. In conclusion, the molecular docking experiments gave important information on the binding affinity and possible inhibitory activity of the produced crystal against the elastase protein, and they may help create new inhibitors for the treatment of disorders associated with elastase. The molecular interactions between the synthetic crystal and the standard against the elastase enzyme are shown in Table 5 below.

Table 5 The molecular interactions of 6 and standard quercetin

The crystal that was created (6) was docked against the elastase enzyme utilizing molecular docking studies, and the results showed that the crystal had a docking score of − 7.4 kcal/mol. In the process of analyzing the results of the docking, it was found that the crystal established hydrogen bonds with the Gln34 residue of the elastase enzyme. The bond length of these bonds was 3.1 Å. In addition to this, the crystal was found to have interactions with hydrophobic residues such as Asn76, Glu80, Thr75, Asn74, Ser37, Tyr38, and Leu73. The formation of hydrogen bonds and the presence of hydrophobic contacts in the crystal-elastase complex are both indicators that the molecule that was synthesized has the potential to serve as a powerful inhibitor of the elastase enzyme. Figure 11 depicts the probable 2D and 3D modes of crystal inside the active pocket of elastase.

Fig. 11
figure 11

The putative 2D and 3D binding mode of crystal (6) against elastase enzyme

The standard compound, quercetin, was also subjected to molecular docking against the elastase enzyme, and it exhibited a docking score of − 7.2 kcal/mol. The hydrogen bonding residues for quercetin were Asn188, Asn132, Ser162, and Trp159, with respective bond lengths of 3.14, 2.71, 2.84, and 3.22 Å. The hydrophobic residues involved in the binding were Gly187, Gly184, Pro161, Trp171, Val163, and Asn133. These findings suggest that quercetin produce stable interactions but synthesized crystal (6) had outperformed the standard in terms of binding affinity. The findings of in-silico investigations were also supported by in-vitro studies. So it can be deduced that crystal (6) may also be a potential inhibitor of elastase, as it displayed strong binding affinity and hydrogen bonding interactions with key residues in the active pocket of the enzyme. Figure 12 is illustrating the putative 2D and 3D mode of quercetin inside active pocket of elastase.

Fig. 12
figure 12

The putative 2D and 3D binding mode of quercetin against elastase enzyme

Molecular dynamics simulation

Molecular dynamics (MD) simulations are an important tool for investigating the thermodynamic properties of biological systems in physiological conditions. The stability of complex (protein–ligand) was evaluated by using the Desmond software. The best docked conformation was used as the starting structure, and the simulation was run for 100 ns. The deep understanding of the complex behavior was evaluated by root mean square deviation; RMSD, rot mean square fluctuation; RMSF, contact and ligand interaction profile. The data obtained from these matrices enabled us to examine the complex's structural stability and dynamic behavior over time, providing valuable insights into the protein–ligand interaction.

Figure 13 displays the RMSD graphical presentation of the protein C-alpha atoms (backbone) and protein–ligand complex. The C-alpha atoms were stable, with small window fluctuations ranging from 1 to 1.7 Å. However, fluctuations of up to 1.8 Å were observed in some amino acid residues, such as Gly12, Pro17, and Tyr122. The protein C alpha atoms had an average RMSD within the acceptable limit of 1.36 Å which is quite acceptable. These observations indicate the significant stability of the protein and the fewest conformational changes during MD simulations. On the other hand, the protein–ligand complex exhibited slight perturbations for the initial 10 ns, during which the complex fluctuated around 1.2–2.8 Å; these fluctuations got stable after 20 ns of MD simulations. It was notable that significant contacts were observed with active-site residues. Despite a few rearrangements, the ligand remained attached to the active site and didn’t flip outside of the active pocket. The equilibration of the trajectory after 20 ns might be due to establishing significant contacts with Tyr39, Tyr38, Arg65, Asn74, and Leu151. These contacts stabilized the protein–ligand complex and retained an average RMSD of 2.40 Å, which is acceptable. In summary, Fig. 13 provides valuable information on the stability of the complex under the simulation conditions, indicating the ligand's ability to bind to the active site of the enzyme.

Fig. 13
figure 13

Evolution of RMSD for protein (C alpha blue colored trajectory), protein–ligand complex (green colored trajectory)

This study employed RMSF analysis to generate the fluctuation profiles for all residues, revealing optimal fluctuations for the majority of amino acid residues. However, it was observed that residues Thr147, Gly148, Gly240, Ile241, and Met242 exhibited slightly higher fluctuations for more than 1 angstrom, whereas the remaining residues were significantly more stable during MD simulations. These amino acid residues belong to terminal regions, which are less rigid and tend to be more flexible. In addition, the amino acids in contact with the ligand were significantly stable, particularly the amino acid residues ranging from 20 to 50 that were in contact with the ligand and exhibited RMSF values of less than 1 angstrom, which demonstrate the significant stability pattern. The average RMSF value for the entire protein was found to be 1.19 Å, which is well within an acceptable limit. In addition, the RMSF data for liganded protein was also retrieved which revealed that ligand bound protein got more stable with average RMSF value of 0.81 Å. In addition, fluctuations of each residues was also got stable after binding of lignad with targeted protein. Figure 14 presents the RMSF evolution plot, with rectangle box indicating the specific amino acid residues that were in contact with the ligand. This analysis provides valuable insights into the local flexibility and dynamics of the protein, which can be useful for understanding its function and interactions with other molecules.

Fig. 14
figure 14

The RMSF peaks for Apo protein (dark blue peaks) and liganded protein (red colored peaks)

The stability of protein ligand complex and binding of ligand with active site residues was further validated by taking the snapshot of MD simulation trajectory at different intervals and superposition these snapshots with respect to reference frame taken at 0 ns. It was notable that ligand remained attached to active site and didn’t exhibited flipping at any interval i.e., during initiation, middle and end of the trajectory. However slight rearrangements of ligand did observed during initiation and terminal stages of simulated trajectory. Figure 15 is illustrating the snapshots of simulated trajectory at different intervals.

Fig. 15
figure 15

Superposition of Protein–ligand complex at various intervals. The green colored indicating the complex at 0 ns, Blue color indicate position of complex at 50 ns and red color is indicating the position of complex at 100 ns

Ligand contact profile is an important analytical metric to determine the efficiency of protein–ligand interactions. It was notable that strong interactions were observed with active site residents. Especially, Tyr39, Arg65, Leu73, Leu151, and Pro150 were engaged in hydrophobic interactions for more than 10% of the simulation time, and the interaction fraction was 50% for Tyr39. In addition, water bridges and hydrogen bonding were also stabilizing the protein ligand complex. Figure 16 illustrates the detailed contact map profile of the ligand with protein.

Fig. 16
figure 16

Contact map of synthesized crystal with targeted protein observed during MD simulation

Figure 17 presents the interaction profile and ligand properties of the protein–ligand complex. The analysis reveals that the amino acid residue ASP164 was strongly occupied by ligand atoms, with a contact time of over 70% during the simulation. The second most occupied residue was ILE129, indicating a significant contribution to the stability of the complex.

Fig. 17
figure 17

(Left) Interaction profile of ligand with specific amino acid residues, (right) ligand properties

The radius of gyration (Rg) is a critical analytical metric that helps determine the center of mass and compactness of proteins. A low Rg value indicates that the protein is highly compact with fewer structural changes, while a high Rg value suggests poor stability and more structural variations in the protein. Here, the protein showed very few structural changes with Rg ranges between 16.6 and 16.9 Å, indicating that the protein's mass was evenly distributed around a single point and remained compact throughout the simulated trajectory. Figure 18 depicted the Rg of the studied protein.

Fig. 18
figure 18

Radius of gyration

The MD simulation studies were conducted under constant pressure and temperature conditions using different barostat and thermostat for maintenance of pressure and temperature. It was observed that system was equilibrated constant pressure of 1.01 bar pressure and at constant temperature of 300 K. The electrostatic energy and equilibrated temperature and pressure is illustrated in Fig. 19.

Fig. 19
figure 19

Electrostatic potential, optimization energy and equilibrated temperature, volume and pressures

Materials and methods


Synthesis of (Z)-4-bromo-N-(4-butyl-3-(quinolin-3-yl)thiazol-2(3H)-ylidene)benzamide (6)

In order to make the acyl thiourea product, a solution of potassium thiocyanate (1 mmol) was combined with dry acetone (15 mL) in a round-bottom flask that had a reflux condenser attached to it. This step was carried out in a reflux apparatus. After this, the mixture was swirled for a total of five minutes. After that, a 1 mmol solution of pentanoyl chloride that had been dissolved in acetone was added to the reaction mixture in a dropwise manner. In order to produce the isothiocyanate, the mixture was subjected to heating at a temperature that produced reflux for three to four hours. Following the step of cooling, an acetone solution containing one millimole of 3-aminoquinoline was added slowly, and the temperature was kept at 60 °C for 12–14 h in order to generate the acyl thiourea product. After this step, the reaction mixture was cooled using water that had been chilled with ice, and the result was separated using filtration. In order to obtain the finished product, the crude product was recrystallized in ethanol in order to undergo purification.

To synthesize quinolinyl-iminothiazoline 6, acyl thiourea (1 mmol) was mixed with dry dichloromethane (15 mL) and triethyl amine (1 mmol) in a round bottom flask. After heating the combination to 50 °C for 24 h in a nitrogen environment, a p-bromophenacyl bromide solution containing one millimole of p-bromophenacyl bromide was added to it over the course of 30 min. Following the use of TLC to validate that the reaction was successful, the mixture was filtered, and a rotary evaporator was utilized to remove the solvent. As can be seen in Fig. 20, the product that was obtained underwent additional purification by being recrystallized in ethanol.

Fig. 20
figure 20

(Z)-4-bromo-N-(4-butyl-3-(quinolin-3-yl)thiazol-2(3H)-ylidene)benzamide (6)

Brown crystalline; M.P = 173 °C; yield = 75%; Rf = 0.45 (EtOAc: n-hexane, 2:8); FT-IR (ATR) in cm−1, 3059 (H-C, Ar), 2957 (H-C, thiazoline), 2928, 2858 (H-C, alkyl asymmetric and symmetric), 1738 (C=O), 1589 (C=C, Ar); 1H-NMR (300 MHz, CDCl3); in δ (ppm), 8.93 (d, 1H, J = 2.1 Hz, quinolinyl-H), 8.32 (d, 1H, J = 8.4 Hz, quinolinyl-H), 8.23 (d, 1H, J = 2.4 Hz, quinolinyl-H), 7.91 (m, 2H, quinolinyl-H), 7.82 (d, 2H, J = 8.4 Hz, phenyl-H), 7.70 (m, 1H, quinolinyl-H), 7.41 (d, 2H, J = 8.4 Hz, phenyl-H), 6.45 (s, 1H, thiazoline-H), 2.36 (t, 2H, J = 7.2 Hz, aliphatic-H), 1.53 (m, 2H, aliphatic-H), 1.2 (m, 2H, aliphatic-H), 0.90 (t, 3H, J = 7.5 Hz, aliphatic-H); 13C-NMR (75 MHz, CDCl3) in δ (ppm), 172.5 (C=O), 171.0 (imine, C), 149.2, 148.1, 137.3, 134.6, 133.8,130.9, 129.8, 129.4, 128.5, 127.5, 127.0, 126.9, 126.2, 105.0 (thiazoline, C), 31.2, 22.5, 19.2, 13.2. Anal. Calc. for C23H20BrN3OS: C, 59.23; H, 4.32; N, 9.01; Found: C, 59.21; H, 4.31; N, 9.00.

X-ray crystallography

The crystallographic data for compound (I) was collected using Mo Kα radiation (λ = 0.71073 Å) on the Rigaku Oxford Diffraction diffractometer. The data was processed using the SHELX program packages SHELXL [42] and SHELXL [43] for structure solving and refining [44], while ORTEP-3 [45] and PLATON [46] were used for drawings. To correct for multi-scan absorption, CrysAlis PRO [6] was applied. The positions of the hydrogen atoms were calculated using a riding model and were refined by applying the constraints of Uiso(H) = k X Ueq (C, O), where k = 1.5 for CH3 hydrogens and k = 1.2 for other H atoms. The distances for the hydrogen atoms were set at 0.95 Å (for aromatic CH), 0.99 Å (for CH2), and 0.98 Å (for CH3). The reported crystallographic data for the structure has been deposited with the Cambridge Crystallographic Data Centre (CCDC No. 2221961), which can be obtained by contacting CCDC at 12 Union Road, Cambridge CB2 1EZ, UK (fax: + 44 1223 336033 or e-mail: or at

The crystal data for the titled compound C23H20BrN3OS was obtained through a series of experiments. The chemical formula of the compound was determined to be C23H20BrN3OS with a molecular weight of 466.39. The crystal system was found to be triclinic with the space group P − 1, and the temperature used for the experiment was 173 K. The crystal dimensions were measured and found to be 9.2304 (6) Å, 11.1780 (8) Å and 11.3006 (6) Å for a, b, and c, respectively. The angles α, β, and γ were 107.146 (5)°, 93.701 (5)° and 110.435 (6)°, respectively, with a volume of 1025.61 (12) Å3 and a Z value of 2. The diffraction data were collected using the Rigaku Oxford Diffraction diffractometer and the empirical absorption correction was carried out using the CrysAlis PRO software. The scaling algorithm used for absorption correction was SCALE3 ABSPACK. The Tmin and Tmax were 0.842 and 1.000, respectively, and a total of 12,759 reflections were measured, out of which 6744 were independent and observed with I > 2σ(I). The Rint value was found to be 0.030 and (sin θ/λ)max was 0.761 Å−1. In terms of refinement, the H-atom parameters were constrained and the Δρmax and Δρmin were 0.59 and − 0.54 e Å−3, respectively. The R[F2 > 2σ(F2)], wR(F2), and S values were 0.042, 0.090, and 1.02, respectively, with a total of 263 parameters used. Overall, the crystal data provides a detailed insight into the structural properties of the titled compound and lays the foundation for further exploration and study of its properties.

Hirshfeld surface studies

The Crystal Explorer 17.5 software [47, 48] was used for the conduction of HS analysis and for the determination of intermolecular interactions. From the nearest nucleus, the HS distances di and de were determined, and Dnorm was used to estimate the normal contact distance, which was illustrated by the colors red, white, and blue. The white surface displayed contacts at distances that were equivalent to the sum of the van der Waals radii [49], but the red and blue colors indicated distances that were shorter or longer than the van der Waals radii, respectively. Bright-red patches indicated either a donor or an acceptor role, while blue and red regions correlated to positive and negative potentials on the HS when mapped over electrostatic potential [50]. The stacking of π … π was made clear by the HS shape-index, which displayed red and blue triangles that were near to one another. An overall two-dimensional fingerprint plot and its many delineations were used to depict the relative contributions of various interactions to the Hirshfeld surface [51, 52]. This plot was used to highlight the relative contributions of different interactions. The different types of interactions are given in the Fig. 6, followed by H/H interactions. The distribution of points on the Hirshfeld surface reflected the relative contributions of each interaction [31]. In accordance with the findings of the investigation of the Hirshfeld surface, the crystal packing is established by the interactions between hydrogen atoms. The predominance of H…H and H…C/C…H interactions gives rise to the hypothesis that hydrogen bonding and van der Waals interactions are the preponderant driving factors in the crystal packing [53].

Density functional theory (DFTs) studies

The optimization of the molecular structure of the synthesized compound was conducted using Density Functional Theory (DFT) calculations [54]. Specifically, the B3LYP method was employed, which is a popular DFT functional used for predicting molecular geometries, vibrational frequencies, and other molecular properties. The cc-pVDZ basis set [55] was selected for basis set construction, which is a high-quality basis set that includes polarization and diffuse functions. This basis set is known to accurately describe molecular properties such as bond lengths, angles, and dipole moments. The optimization process involved finding the minimum energy conformation of the molecule by varying the atomic positions until a stable geometry was reached [56]. The electronic structure of the compound was examined with the Gaussian 09 software in order to further investigate the chemical characteristics of the compound. In order to explore the chemical reactivity of the molecule, the frontier molecular orbitals were studied [54]. These orbitals represent the highest occupied molecular orbital (HOMO) and the lowest unoccupied molecular orbital (LUMO), respectively. In addition, the chemical hardness and softness were computed based on the energy gap between the HOMO and the LUMO. This provided insight into the stability of the complex as well as its capacity to react with other molecules. These calculations were carried out by utilizing well-known quantum chemistry methods, which provided a greater comprehension of the characteristics of the compound as well as its possible uses [57]. Gauss View 6 was used to do visualization and analysis on each and every optimized output file [58].

Elastase inhibition assay

We used a modified approach to assess elastase inhibition [59, 60]. Elastase from the pig pancreas was utilized to measure p-nitroaniline liberated from the substrate (N-succinyl-Ala-Ala-Ala-p-nitroanilide) to assess inhibition. The detailed protocol is given in our previously published article [61] and also given in the Additional file 1.

Molecular docking methodology

Molecular docking is an efficient approach to study these interactions between ligands and proteins [62]. In our study, we used molecular docking to evaluate the potential molecular interactions of a synthesized compound with elastase enzyme. Initially, we retrieved the elastase protein with the PDB ID: 1EAU (porcine pancreatic elastase) from the protein data bank [63] ( [64]. The retrieved protein was prepared using the MGL tools preparation wizard, which involved the removal of hetero atoms, addition of polar hydrogens, and gasteiger charges. Missing residues were also prepared using MGL tools. Subsequently, the synthesized compound was subjected to preliminary energy minimization using ChemDraw 3D and saved in the desired format for docking using AutoDock Vina [65, 66]. To carry out the docking process, a grid box with dimensions of 12.758 Å, 47.649 Å, and 84.536 Å in the x, y, and z dimensions, respectively, was generated at the active pocket of the elastase enzyme with a spacing of 0.5 Å. The Genetic algorithm was used to retrieve 100 poses for the synthesized crystal. The conformation with the best binding affinity and RMSD value was selected and analyzed using PyMOL [67] and LigPlot plus [68]. Additionally, the stability of the selected conformation was evaluated under accelerated conditions using molecular dynamics simulations. The co-crystal ligand of the elastase enzyme was re-docked into the active pocket (Fig. 21) in order to evaluate the docking process. The RMSD value was found to be about 2, supporting the reliability of the docking protocol [69].

Fig. 21
figure 21

Illustration of docking protocol validation. Blue ligand is regenerated pose whereas pink ligand is native conformation (RMSD 2.3 angstroms)

Molecular dynamics simulation studies

To analyze the interaction between protein and ligand, Desmond software was used where a 100 ns simulation of protein–ligand complex was carried out using the TIP3P solvent model. The optimized potential for liquid simulations (OPLS3) forcefield [70] was employed under periodic boundary conditions [71]. The system was solvated with TIP3P water [72] molecules in an orthorhombic solvation box. To neutralize the system, NaCl ions were added, resulting in a concentration of 0.15 M. All the conditions were set as discussed earlier [66, 73] were employed. The simulation was performed for 100 ns in triplicate with snapshots of the trajectories saved every 100 ps and a time step of 2 fs. For accurate investigation of electrostatic interactions, the particle mesh Ewald method [74] was utilized. The Desmond simulation interaction diagram [75] protocol was employed to analyze the protein–ligand complex trajectories as reported earlier [66].


In conclusion, the current study demonstrated the successful synthesis and characterization of a structurally varied molecule known as quinolinyl iminothiazoline. This compound demonstrated significant activity against the elastase enzyme. The synthesized derivative had substantial activity in an in vitro elastase inhibition assay, with an IC50 value of 1.21 µM. This value indicated that the synthesized derivative was more potent than the standard, which was oleanolic acid, which had an IC50 value of 13.45 µM. The kinetic analyses provided additional confirmation that the chemical possesses remarkable binding energies as well as a competitive method of inhibition. The in silico studies including x-ray analysis, HS analysis, crystal void analysis, DFTs, molecular docking, and MD simulations supported the experimental findings by demonstrating the potential molecular interactions and stability of the protein–ligand complex. Furthermore, the x-ray analysis provided insights into the structural properties of the compound, revealing planar rings positioned at dihedral angles, and the molecules in the compound forming infinite double chains through hydrogen bonds and π-π interactions, creating a three-dimensional architecture. These findings altogether indicate that the synthesized compound holds strong potential as a lead compound for the development of a new drug against elastase enzyme.

Availability of data and materials

Data will be available on request by the corresponding author.


  1. Maslat AO, et al. Synthesis, antibacterial, antifungal and genotoxic activity of bis-1, 3, 4-oxadiazole derivatives. Pol J Pharmacol. 2002;54(1):55–60.

    CAS  PubMed  Google Scholar 

  2. Ram VJ, et al. The chemistry of heterocycles: nomenclature and chemistry of three to five membered heterocycles. Amsterdam: Elsevier; 2019.

    Google Scholar 

  3. Baird JK, Rieckmann KH. Can primaquine therapy for vivax malaria be improved? Trends Parasitol. 2003;19(3):115–20.

    CAS  PubMed  Google Scholar 

  4. Hargrave KD, Hess FK, Oliver JT. N-(4-Substituted-thiazolyl) oxamic acid derivatives, new series of potent, orally active antiallergy agents. J Med Chem. 1983;26(8):1158–63.

    CAS  PubMed  Google Scholar 

  5. El-Ansary SL, et al. Design, synthesis and biological evaluation of some new succinimide, 2-iminothiazoline and oxazine derivatives based benzopyrone as anticonvulsant agents. Int J Pharm Pharm Sci. 2016;8(4):222–8.

    CAS  Google Scholar 

  6. Saeed A, et al. Synthesis and antifungal activity of some novel N-(4-phenyl-3-aroylthiazol-2 (3H)-ylidene) substituted benzamides. Turk J Chem. 2008;32(5):585–92.

    CAS  Google Scholar 

  7. Sharma PK, et al. Synthesis and antiinflammatory activity of some 3-(2-thiazolyl)-1, 2-benzisothiazoles. Indian J Chem. 1998;37(1):376–81.

    Google Scholar 

  8. Saeed A, Al-Masoudi NA, Pannecouque C. In-vitro anti-HIV activity of new thiazol-2-ylidene substituted benzamide analogues. Der Pharma Chem. 2012;4(1):106–15.

    CAS  Google Scholar 

  9. Sondhi SM, et al. Synthesis of acridinyl-thiazolino derivatives and their evaluation for anti-inflammatory, analgesic and kinase inhibition activities. Bioorgan Med Chem. 2005;13(13):4291–9.

    CAS  Google Scholar 

  10. Luesch H, et al. Total structure determination of apratoxin A, a potent novel cytotoxin from the marine cyanobacterium Lyngbya majuscula. J Am Chem Soc. 2001;123(23):5418–23.

    CAS  PubMed  Google Scholar 

  11. Tsuji K, Ishikawa H. Synthesis and anti-pseudomonal activity of new 2-isocephems with a dihydroxypyridone moiety at C-7. Bioorgan Med Chem Lett. 1994;4(13):1601–6.

    CAS  Google Scholar 

  12. Saeed S, Hussain R, Ali M. Synthesis and antimicrobial activity of N-[(2 Z)-3-(4, 6-Substitutedpyrimidin-2-yl)-4-phenyl-1, 3-thiazol-2 (3 H)-ylidene]-3, 5-dinitrobenzamide analogues. J Heterocycl Chem. 2013;50(2):237–43.

    CAS  Google Scholar 

  13. Rokach J, et al. Inhibitors of indoleethylamine N-methyltransferase. Derivatives of 3-methyl-2-thiazolidinimine. In vitro, in vivo, and metabolic studies. J Med Chem. 1980;23(7):773–80.

    CAS  PubMed  Google Scholar 

  14. Saeed A, Rafique H. Synthesis of new N-[3-(Benzo [d] thiazol-2-yl)-4-methylthiazol-2 (3H)-ylidene] substituted benzamides. Turk J Chem. 2013;37(6):909–16.

    CAS  Google Scholar 

  15. Tomizawa M, Cowan A, Casida JE. Analgesic and toxic effects of neonicotinoid insecticides in mice. Toxicol Appl Pharmacol. 2001;177(1):77–83.

    CAS  PubMed  Google Scholar 

  16. Hosseinimehr SJ, et al. Radioprotective effects of 2-iminothiazolidine derivatives against lethal doses of gamma radiation in mice. J Radiat Res. 2001;42(4):401–8.

    CAS  PubMed  Google Scholar 

  17. Tegley CM, et al. Discovery of novel hydroxy-thiazoles as HIF-α prolyl hydroxylase inhibitors: SAR, synthesis, and modeling evaluation. Bioorgan Med Chem Lett. 2008;18(14):3925–8.

    CAS  Google Scholar 

  18. Manaka A, et al. 2-Acylimino-3-alkyl-3H-thiazoline derivatives: one-pot, three-component condensation synthesis of novel β-turn mimics. Tetrahedron Lett. 2005;46(3):419–22.

    CAS  Google Scholar 

  19. Kim D-S, et al. A new 2-imino-1, 3-thiazoline derivative, KHG22394, inhibits melanin synthesis in mouse B16 melanoma cells. Biol Pharm Bull. 2007;30(1):180–3.

    CAS  PubMed  Google Scholar 

  20. Pietrancosta N, et al. Imino-tetrahydro-benzothiazole derivatives as p53 inhibitors: discovery of a highly potent in vivo inhibitor and its action mechanism. J Med Chem. 2006;49(12):3645–52.

    CAS  PubMed  Google Scholar 

  21. Choi I, et al. In silico and in vitro insights into tyrosinase inhibitors with a 2-thioxooxazoline-4-one template. Comput Struct Biotechnol J. 2021;19:37–50.

    CAS  PubMed  Google Scholar 

  22. Jayashankar B, et al. Synthesis and pharmacological evaluation of 1, 3, 4-oxadiazole bearing bis (heterocycle) derivatives as anti-inflammatory and analgesic agents. Eur J Med Chem. 2009;44(10):3898–902.

    CAS  PubMed  Google Scholar 

  23. Chang L, et al. Synthesis and evaluation of thiophenyl derivatives as inhibitors of alkaline phosphatase. Bioorgan Med Chem Lett. 2011;21(8):2297–301.

    CAS  Google Scholar 

  24. Incalza MA, et al. Oxidative stress and reactive oxygen species in endothelial dysfunction associated with cardiovascular and metabolic diseases. Vasc Pharmacol. 2018;100:1–19.

    CAS  Google Scholar 

  25. Battin EE, Brumaghim JL. Antioxidant activity of sulfur and selenium: a review of reactive oxygen species scavenging, glutathione peroxidase, and metal-binding antioxidant mechanisms. Cell Biochem Biophys. 2009;55(1):1–23.

    CAS  PubMed  Google Scholar 

  26. Anderson HC. The role of matrix vesicles in physiological and pathological calcification. Curr Opin Orthop. 2007;18(5):428–33.

    Google Scholar 

  27. van der Heijde D, et al. Efficacy and safety of adalimumab in patients with ankylosing spondylitis: results of a multicenter, randomized, double-blind, placebo-controlled trial. Arthritis Rheum. 2006;54(7):2136–46.

    PubMed  Google Scholar 

  28. Weihermann A, et al. Elastin structure and its involvement in skin photoageing. Int J Cosmet Sci. 2017;39(3):241–7.

    CAS  PubMed  Google Scholar 

  29. Berglund GI, et al. Structure of native pancreatic elastase from North Atlantic salmon at 1.61 Å resolution. Acta Crystallogr Sect D Biol Crystallogr. 1995;51(6):925–37.

    CAS  Google Scholar 

  30. Macdonald IG. Symmetric functions and Hall polynomials. Oxford: Oxford University Press; 1998.

    Google Scholar 

  31. McKinnon JJ, Jayatilaka D, Spackman MA. Towards quantitative analysis of intermolecular interactions with Hirshfeld surfaces. Chem Commun. 2007;37:3814–6.

    Google Scholar 

  32. Irrou E, et al. Crystal structure determination, Hirshfeld surface, crystal void, intermolecular interaction energy analyses, as well as DFT and energy framework calculations of 2-(4-oxo-4, 5-dihydro-1H-pyrazolo [3, 4-d] pyrimidin-1-yl) acetic acid. Acta Crystallogr Sect E Crystallogr Commun. 2022;78(9):953–60.

    CAS  Google Scholar 

  33. Khan BA, et al. Exploring highly functionalized tetrahydropyridine as a dual inhibitor of monoamine oxidase A and B: synthesis, structural analysis, single crystal XRD, supramolecular assembly exploration by hirshfeld surface analysis, and computational studies. ACS Omega. 2022;7:29452–64.

    CAS  PubMed  PubMed Central  Google Scholar 

  34. Taia A, et al. Syntheses, single crystal X-ray structure, Hirshfeld surface analyses, DFT computations and Monte Carlo simulations of New Eugenol derivatives bearing 1,2,3-triazole moiety. J Mol Struct. 2021;1234:130189–98.

    CAS  Google Scholar 

  35. Huang Y, Rong C, Zhang R, Liu S. Evaluating frontier orbital energy and HOMO/LUMO gap with descriptors from density functional reactivity theory. J Mol Model. 2017;23:1–2.

    Google Scholar 

  36. Ananda S, et al. Growth, crystal structure, Hirshfeld surface analysis, DFT and nonlinear optical studies of bis(4-methoxybenzylammonium) tetrachloridocadmate(II). AIP Conf Proc. 2020;2265:030408–18.

    CAS  Google Scholar 

  37. Dige NC, et al. Synthesis and characterization of new 4H-chromene-3-carboxylates ensuring potent elastase inhibition activity along with their molecular docking and chemoinformatics properties. Bioorgan Chem. 2020;100:103906–18.

    CAS  Google Scholar 

  38. Ujan R, et al. Benzimidazole tethered thioureas as a new entry to elastase inhibition and free radical scavenging: synthesis, molecular docking, and enzyme inhibitory kinetics. J Heterocycl Chem. 2021;58:1929–35.

    CAS  Google Scholar 

  39. Ilyas S, et al. Preparation, structure determination, and in silico and in vitro elastase inhibitory properties of substituted N-([1,1′-Biphenyl]-2-ylcarbamothioyl)-aryl/alkyl benzamide derivatives. J Mol Struct. 2021;1245:130993–9.

    CAS  Google Scholar 

  40. Vanjare BD, et al. Elastase inhibitory activity of quinoline analogues: synthesis, kinetic mechanism, cytotoxicity, chemoinformatics and molecular docking studies. Bioorgan Med Chem. 2022;63:116745–52.

    CAS  Google Scholar 

  41. Abbas Q, et al. Acetazolamide inhibits the level of tyrosinase and melanin: an enzyme kinetic, in vitro, in vivo, and in silico studies. Chem Biodivers. 2017;14:e1700117–25.

    Google Scholar 

  42. Rigaku OD. Crysalis pro. Yarnton: Rigaku Oxford Diffraction Ltd; 2015.

    Google Scholar 

  43. Sheldrick GM. Crystal structure refinement with SHELXL. Acta Crystallogr Sect C Struct Chem. 2015;71(1):3–8.

    Google Scholar 

  44. Sheldrick GM. SHELXT–Integrated space-group and crystal-structure determination. Acta Crystallogr Sect A Found Adv. 2015;71(1):3–8.

    Google Scholar 

  45. Farrugia LJ. WinGX and ORTEP for Windows: an update. J Appl Crystallogr. 2012;45(4):849–54.

    CAS  Google Scholar 

  46. Spek AL. Structure validation in chemical crystallography. Acta Crystallogr Sect D Biol Crystallogr. 2009;65(2):148–55.

    CAS  Google Scholar 

  47. Singh M, et al. Quantum, Hirshfeld surface, crystal voids, energy framework and molecular docking analysis of two halogen-containing benzimidazole-2-thione structures. Mol Cryst Liq Cryst. 2022;739:127–41.

    CAS  Google Scholar 

  48. Bhola YO, et al. Molecular structure, DFT studies, Hirshfeld surface analysis, energy frameworks, and molecular docking studies of novel (E)-1-(4-chlorophenyl)-5-methyl-N′-((3-methyl-5-phenoxy-1-phenyl-1H-pyrazol-4-yl) methylene)-1H-1,2,3-triazole-4-carbohydrazide. Mol Cryst Liq Cryst. 2019;692(1):83–93.

    Google Scholar 

  49. Venkatesan P, et al. Crystal structure, Hirshfeld surfaces and DFT computation of NLO active (2E)-2-(ethoxycarbonyl)-3-[(1-methoxy-1-oxo-3-phenylpropan-2-yl) amino] prop-2-enoic acid. Spectrochim Acta A Mol Biomol Spectrosc. 2016;153:625–36.

    CAS  PubMed  Google Scholar 

  50. Saeed A, et al. Acetophenone-based 3,4-dihydropyrimidine-2 (1H)-thione as potential inhibitor of tyrosinase and ribonucleotide reductase: facile synthesis, crystal structure, in-vitro and in-silico investigations. Int J Mol Sci. 2022;23(21):13164.

    CAS  PubMed  PubMed Central  Google Scholar 

  51. Spackman MA, McKinnon JJ, Jayatilaka D. Electrostatic potentials mapped on Hirshfeld surfaces provide direct insight into intermolecular interactions in crystals. CrystEngComm. 2008;10(4):377–88.

    CAS  Google Scholar 

  52. Spackman MA, Jayatilaka D. Hirshfeld surface analysis. CrystEngComm. 2009;11(1):19–32.

    CAS  Google Scholar 

  53. Hathwar VR, et al. Quantitative analysis of intermolecular interactions in orthorhombic rubrene. IUCrJ. 2015;2(5):563–74.

    CAS  PubMed  PubMed Central  Google Scholar 

  54. Hossen J, Ali MA, Reza S. Theoretical investigations on the antioxidant potential of a non-phenolic compound thymoquinone: a DFT approach. J Mol Model. 2021;27(6):1–11.

    Google Scholar 

  55. Dunning TH Jr, Peterson KA, Wilson AK. Gaussian basis sets for use in correlated molecular calculations. X. The atoms aluminum through argon revisited. J Chem Phys. 2001;114(21):9244–53.

    CAS  Google Scholar 

  56. Muhammad S, et al. Benchmark study of the linear and nonlinear optical polarizabilities in proto-type NLO molecule of para-nitroaniline. J Theor Comput Chem. 2019;18(06):1950030.

    CAS  Google Scholar 

  57. Mazouz A, Barthou D. Study of variations of native program execution times on multi-core architectures. In 2010 International conference on complex, intelligent and software intensive systems. IEEE. 2010.

  58. McGrath MP, Radom L. Extension of Gaussian-1 (G1) theory to bromine-containing molecules. J Chem Phys. 1991;94(1):511–6.

    CAS  Google Scholar 

  59. Ahmed A, et al. Novel adamantyl clubbed iminothiazolidinones as promising elastase inhibitors: design, synthesis, molecular docking, ADMET and DFT studies. RSC Adv. 2022;12:11974–91.

    CAS  PubMed  PubMed Central  Google Scholar 

  60. Arshad N, et al. Synthesis, X-ray crystal structure elucidation and Hirshfeld surface analysis of N-((4-(1 H-benzo [d] imidazole-2-yl) phenyl) carbamothioyl) benzamide: Investigations for elastase inhibition, antioxidant and DNA binding potentials for biological applications. RSC Adv. 2020;10:20837–51.

    CAS  PubMed  PubMed Central  Google Scholar 

  61. Ko RK, et al. Compounds with tyrosinase inhibition, elastase inhibition and DPPH radical scavenging activities from the branches of Distylium racemosum Sieb et. Zucc. Phytother Res. 2011;25:1451–6.

    CAS  PubMed  Google Scholar 

  62. Ferreira LG, et al. Molecular docking and structure-based drug design strategies. Molecules. 2015;20(7):13384–421.

    CAS  PubMed  PubMed Central  Google Scholar 

  63. Burley SK, et al. Protein Data Bank (PDB): the single global macromolecular structure archive. Protein Crystallogr. 2017;1607:627–41.

    CAS  Google Scholar 

  64. Prieto-Martínez FD, Arciniega M, Medina-Franco JL. Molecular docking: current advances and challenges. TIP Revista especializada en ciencias químico-biológicas. 2018;21:65–87.

    Google Scholar 

  65. Trott O, Olson AJ. AutoDock Vina: improving the speed and accuracy of docking with a new scoring function, efficient optimization, and multithreading. J Comput Chem. 2010;31(2):455–61.

    CAS  PubMed  PubMed Central  Google Scholar 

  66. Aziz M, et al. Identification of NEK7 inhibitors: structure based virtual screening, molecular docking, density functional theory calculations and molecular dynamics simulations. J Biomol Struct Dyn. 2023;41(14):6894–908.

    CAS  PubMed  Google Scholar 

  67. Yuan S, Chan HS, Hu Z. Using PyMOL as a platform for computational drug design. Wiley Interdiscip Rev Comput Mol Sci. 2017;7(2):e1298.

    Google Scholar 

  68. Laskowski RA, Swindells MB. LigPlot+: multiple ligand–protein interaction diagrams for drug discovery. J Chem Inf Model. 2011;51:2778–86.

    CAS  PubMed  Google Scholar 

  69. Aziz M, et al. Identification of potent inhibitors of NEK7 protein using a comprehensive computational approach. Sci Rep. 2022;12(1):1–17.

    CAS  Google Scholar 

  70. Shivakumar D, et al. Prediction of absolute solvation free energies using molecular dynamics free energy perturbation and the OPLS force field. J Chem Theory Comput. 2010;6(5):1509–19.

    CAS  PubMed  Google Scholar 

  71. Barclay PL, Zhang DZ. Periodic boundary conditions for arbitrary deformations in molecular dynamics simulations. J Comput Phys. 2021;435:110238.

    CAS  Google Scholar 

  72. Bowers KJ, et al. Scalable algorithms for molecular dynamics simulations on commodity clusters. In SC'06: Proceedings of the 2006 ACM/IEEE conference on supercomputing. IEEE. 2006.

  73. Martyna GJ, Tobias DJ, Klein ML. Constant pressure molecular dynamics algorithms. J Chem Phys. 1994;101(5):4177–89.

    CAS  Google Scholar 

  74. Luty BA, et al. A comparison of particle–particle, particle–mesh and Ewald methods for calculating electrostatic interactions in periodic molecular systems. Mol Simul. 1994;14(1):11–20.

    CAS  Google Scholar 

  75. Humphreys DD, Friesner RA, Berne BJ. A multiple-time-step molecular dynamics algorithm for macromolecules. J Phys Chem A. 1994;98(27):6885–92.

    CAS  Google Scholar 

Download references


Not applicable.


The work was supported by Princess Nourah bint Abdulrahman University Researchers Supporting Project number (PNURSP2023R116), Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia. The funding body played potential role in the design of the study, purchasing, sample characterization, analysis, interpretation of data, and in writing the manuscript.

Author information

Authors and Affiliations



MNM: Methodology, Investigations. PAC, MA: Methodology, experimental material design, Investigations. SAE: Conceptualization, Methodology, Supervision, Investigation, Writing review and editing. SA: Methodology, Investigations, Writing review and editing. TS: Methodology, Formal analysis, AS: Methodology, Investigations. Conceptualization, Data curation, Investigation, Supervision, Writing review and editing. AAA: Funding, Characterization, Resources, Validation, Visualization, Writing-original draft. RU, QA, TH: Investigation, Writing-review and editing. All authors read and approved the final manuscript.

Corresponding authors

Correspondence to Syeda Abida Ejaz or Aamer Saeed.

Ethics declarations

Ethics approval and consent to participate

Not applicable.

Consent for publication

Not applicable.

Competing interests

The authors declare that they have no competing interests.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary Information

Additional file 1

. Table S1 Experimental details. Spectroscopic characterization data. Elastase inhibition assay.

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit The Creative Commons Public Domain Dedication waiver ( applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and Permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Mustafa, M.N., Channar, P.A., Ejaz, S.A. et al. Synthesis, DFT and molecular docking of novel (Z)-4-bromo-N-(4-butyl-3 (quinolin-3-yl)thiazol-2(3H)-ylidene)benzamide as elastase inhibitor. BMC Chemistry 17, 95 (2023).

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: