Literature DB >> 33344790

Investigation on penetration of saffron components through lipid bilayer bound to spike protein of SARS-CoV-2 using steered molecular dynamics simulation.

Azadeh Kordzadeh1, Ahmad Ramazani Saadatabadi1, Amin Hadi2.   

Abstract

A coronavirus identified as COVID-19 is the reason for an infection outbreak which is started in December 2019. NO completely effective drugs and treatments are not recognized for this virus. Recently, saffron and its compounds were used to treat different viral diseases. Saffron extract and its major ingredients have shown antiviral effects. In this study, the steered molecular dynamics simulation was used for investigating the effect of four main components of saffron that include: crocin, crocetin, safranal, and picrocrocin as candidate for drug molecules, on COVID-19. The binding energies between drug molecules and spike protein and the main protease of the virus were evaluated. The obtained results based on Lennard-Jones and electrostatic potentials demonstrated that crocetin has a high affinity towards spike protein and also the main protease of the virus. Also, the quantum mechanics calculations elucidated that the crocetin could overcome energy barrier of lipid bilayer with strong dipole moment and polarizability. The pharmacokinetic and ADMET properties proved that crocetin could be a suitable drug candidate. So, crocetin could be a promising drug for treatment of COVID-19.
© 2020 The Author(s).

Entities:  

Keywords:  Bioinformatics; Biomedical engineering; Biotechnology; Crocetin; Crocin; Molecular biology; Molecular dynamics simulation; Picrocrocin; Proteins; SARS-CoV-2; Safranal

Year:  2020        PMID: 33344790      PMCID: PMC7733551          DOI: 10.1016/j.heliyon.2020.e05681

Source DB:  PubMed          Journal:  Heliyon        ISSN: 2405-8440


Introduction

A coronavirus (CoV), named as 2019 novel coronavirus (COVID-19), is believed that is the responsible agent for the pandemic that commenced in Wuhan, China, in December 2019 [1]. This virus could infect humans and probably many other animal species, with symptoms like dry cough, sore throat, nasal congestion, tiredness, fever, loss of taste, and smell similar to Severe Acute Respiratory Syndrome(SARS) and Middle East Respiratory Syndrome (MERS) [2]. There are four categories for CoVs: Alphacoronavirus, Betacoronavirus (which primarily infect mammals), Gammacoronavirus, and Deltacoronavirus (which primarily infect birds) [3,4]. By the end of 2019, six kinds of human CoV have been recognized: HCoV-NL63, HCoV-229E, belonging to Alphacoronavirus genera, HCoV-OC43, HCoVHKU1, SARS-CoV, and MERS-CoV, belonging to Betacoronavirus genera [5]. The severe acute respiratory syndrome 2 (SARS-CoV-2) caused the outbreak of epidemics at the beginning of the 21st century. The COVID-19 which is classified as Betacoronavirus was the seventh type of human coronavirus. The origins of the CoVs are still unknown, however, increasing evidence demonstrates a link between the COVID-19 and other similar known coronaviruses circulating in bats [6]. Phylogenetic studies revealed that two SARS-CoV-2 sequences isolated from bats in 2015 and 2017 are very similar to the COVID-19 [7]. According to the World Health Organization (WHO), on August 8, 2020, 716075 confirmed deaths have been recorded due to COVID-19 [8]. At present, effective treatment options for COVID-19 remain very limited. Many researchers are trying to find an effective treatment for SARS-CoV-2. Some studies tried to clarify the mechanism of attachment of virus to human cells [9,10]. Figure 1 shows a general schematic of SARS-CoV-2 and its structural proteins. The four structural proteins of βcoronavirus are membrane (M), envelope (E), spike (S), and nucleocapsid (N) protein, mediation of coronavirus host infection is established by spike (S) protein. An investigation by scientists in China revealed that the SARS-CoV-2 requires angiotensin-converting enzyme 2 (ACE2) receptor for their binding and invasion of the host [11,12].
Figure 1

Schematic representation of SARS-Cov-2 and its structural proteins [46].

Schematic representation of SARS-Cov-2 and its structural proteins [46]. Computational methods could be efficient methods in the drug discovery field which decrease the required time and budget for the discovery of a new drug. Methods such as molecular docking and molecular dynamics simulation widely used for investigating COVID-19 [13,14,15,16]. Elficky [17,18] by using molecular docking explained that anti-hepatitis C virus drugs such as Sofosbuvir, Ribavirin, and Remidisivir have high binding energy towards the main protease of SARS-CoV-2. Sethi et al. [19] by molecular docking indicated that the gelatine could be a candidate for blocking spike protein of SARS-CoV-2. Bzowka et al. [20] by using molecular dynamics simulation elucidated that despite a high level of sequence similarity between the main protease of SARS-Cov-2 and SARS, the active sites in both proteins show major differences in both shape and size indicating that repurposing SARS drugs for COVID-19 may be futile. Aanouz et al. [21] examined the Moroccan medical plants as inhibitors for SARS-CoV-2. The binding energy between 64 herbal extracts and main protease of SARS-CoV-2 was calculated by molecular docking. Three molecules (Crocin, Digitoxigenin, and b-Eudesmol) are proposed as inhibitors against the coronavirus based on the energy types of interaction between these molecules and studied protein. However, the introduction of a new drug required further investigation such as ADMET (absorption, distribution, metabolism, excretion and toxicity) parameters. Lipinski introduced the ‘Rule of 5’ (Ro5) as a criterion for evaluation the drug-likeness of molecules. The rule explains that compounds have poor absorptivity and bioavailability if their molecular weight is >500 g/mol, hydrogen bond donors>5, hydrogen bond acceptors>10 and log P > 5 [22,23]. The molecular docking method and molecular dynamics (MD) simulations could determine the binding energy between ligand and receptor. The molecular docking is an efficient method that could analyse a large number of ligands but the ignorance dynamic of ligand and receptor decreases the accuracy of this method [24]. The molecular dynamics simulation is an accurate method but it is computationally expensive with limit number of studied molecules [25]. Finding an efficient and accurate computational method is valuable. The steered molecular dynamics (SMD) [26,27] have developed and applied to study the mechanical unfolding of biomolecules [28,29], transportation of ions [30,31], and organic compounds through membrane channels [32,33]. This method is also employed to probe unbinding pathways of the ligand from its receptor [34,35]. SMD was used for finding drug molecules for blocking influenza virus receptors [36,37,38]. SMD is shown to be as powerful as the molecular mechanics/Poisson-Boltzmann (Generalized Born) surface area (MM/PB(GB)SA) MM-PBSA method [39,40] in predicting binding affinity but about one order of magnitude faster. Some plant compounds, such as saffron, have shown antiviral properties. Saffron (Crocus sativus) is a plant from the genus Iridaceae with many properties, including medicinal and food colouring. The main components of saffron are Crocin, Picrocrocin, Crocetin, and Safranal, which are shown in Figure 2. The mass faction of each component in saffron varies according to the geographical area and indicate the quality of saffron. Much research has been carried out on the anti-tumor and antiviral properties of saffron. All contributing not only to the sensory profile of saffron colour, taste, and aroma, but also to the health-promoting properties [41]. Crocin quickly dissolves in water with typically deep red in colour. In addition to being an excellent colorant, Crocin also acts as an antioxidant by quenching free radicals, protecting cells and tissues against oxidation. Picrocrocin and Safranal are the main responsible agents for the aroma and taste of saffron, respectively [42]. Antiproliferation and cytotoxicity on tumor cells are anti-cancer functions of Crocetin. It is proved that saffron components positively correlate with a lower risk of diseases including metabolic disorders (gastric disorder), premenstrual syndrome, depression, insomnia and anxiety, cardiovascular disease, as well as many types of cancers [43]. Much research has been carried out on the anti-tumor and antiviral properties of saffron. Soleimani et al. [44] investigated the anti-HSV-1 and anti-HIV-1 effects of Iranian saffron and its main constituent's in-vitro, including Crocin and Picrocrocin. Their research revealed that the aqueous saffron extract had a mild activity against HIV-1 and HSV-1; however, crocin and picrocrocin had an effective antiviral activity. In this study, these two herbal medicines prevented the virus from entering the Vero cell, which disrupted the virus entry mechanism. Escribano et al. [45] indicated that saffron compounds inhibit the growth of cancer cells.
Figure 2

The chemical structure of (a) crocin, (b) picrocrocin, (c) safranal and (d) crocetin [47].

The chemical structure of (a) crocin, (b) picrocrocin, (c) safranal and (d) crocetin [47]. Our search in literature indicates that the SMD simulation between spike protein of SARS-CoV-2 and drugs has not been addressed in previous researches and need a thorough and comprehensive investigation which could be used for future drug and treatment discovery. So in this study by using SMD simulation method the penetration of saffron's main components that include: Crocin, Crocetin, Picrocrocin, and Safranal, through spike protein of SARS-CoV-2 embedded in dipalmitoylphosphatidylcholine (DPPC) lipid bilayer was simulated. In the next step, the binding affinity between main component of saffron and the main protease of SARS-CoV-2 was evaluated. By considering the spike protein and the main protease of SARS-CoV-2 a complete representation of the virus was simulated.

Model and method

The structural model

The Crocin, Crocetin, Picrocrocin, and Safranal molecules were selected as drug molecules. The initial structure of drug molecules was obtained from DRUGBANK server [48]. The structure of spike protein (PDB ID 6M0J) and main protease (PDB ID 6M03) of SARS-CoV-2 were obtained from protein data bank server [49]. For constructing an embedded lipid bilayer with spike protein, at first an equilibrated 128 Dipalmitoylphosphatidylcholine (DPPC) lipid bilayer was constructed with CHARMM-GUI server [50]. Then the spike protein was embedded in lipid bilayer, in this step 6 lipid molecules (3 lipid molecules from each leaflet) were removed. The embedded lipid bilayer equilibrated in 28 steps until the area per lipid reached to 64.0 which is close to experimental value [51]. Finally, a 122 DPPC lipid bilayer with embedded spike protein was obtained.

Force field

The GROMACS 5.1.4 simulation package [52] was employed to perform all simulations. The visual molecular dynamics (VMD 1.9.1) [53] program was used for molecular visualization. The all-atom GROMOS54A7 force field was employed to calculate all bonded and nonbonded interactions [54]. The simple point charge [55] model was selected for water molecules. Topology files of drug molecules were obtained by using PRODRG server [56] and the partial charges are to be corrected by performing the corresponding quantum mechanics QM calculations. Quantum mechanics (QM) calculations performed by using GAMESS [57] software by employing DFT, 6-31G(d,p), B3LYP method [58,59], along with monitoring variation of molecular configuration to achieve minimum energy of molecule. The partial charges of the atoms were calculated by using electrostatic potential method (ESP) [60] and by considering the fact that, the molecules are present in water medium. The pharmacokinetic and toxicological parameters of compounds were obtained by SwissADME server [61].

MD simulation

The simulations were run in the NPT ensemble. During the simulation the temperature was kept constant at 310 K (physiological temperature) using a Nose'-Hoover thermostat [62] and the pressure was kept constant at 1 bar using the Parrinello–Rahman barostat [63] with semi-isotropic pressure coupling [64]. The time step was 2fs, and the LINCS algorithm [65] was used to constrain all bonds. The long-range electrostatic interaction was calculated with the particle mesh Ewald method with a cut off radius of 1.2 nm [66]. The Lennard-Jones potential was used to calculate the van der Waals (vdW) interaction with a cut off radius of 1.2 nm as recommended [67]. The simulation box dimensions for lipid bilayer and main protease system was () and (), respectively. The spike protein embedded in DPPC lipid bilayer was equilibrated for 100 ns, area per lipid was calculated and a value of 64.0 A was obtained, which is in agreement with the experimental measurements [51]. For investigation the interaction of drug molecules with lipid bilayer at first, the drug molecules were initially positioned at a distance of 4 nm from the center of mass of DPPC lipid bilayer. For simulation of main protease, the drug molecules initially were positioned at a distance of 5 nm from the center of mass of the main protease. Then, the energy was minimized using the steepest descent method. The NVT simulation for 5 ns was performed and temperature was set at 310 K. The pressure was adjusted at 1 bar in NPT ensemble for 10 ns. Then the constant velocity SMD was performed. In SMD simulation, the drug molecule was attached to dummy atoms via a virtual spring and were moved at a constant velocity. The force needed for the displacement of the dummy atoms to an imaginary point can be calculated by the following equations [27]:Where is the potential energy gradient, k is the spring force constant which is, v is the velocity of pulling, t is the current time, r is the instantaneous vector position, r0 is the initial vector position of the SMD atom and n is the vector direction which the dummy atom is pulled. In the SMD simulation of the present work, pulling velocities (v) 0.01 .

Results and discussion

Toxicity analysis and drug score

The pharmacokinetic and toxicological parameters of crocin, crocetin, picrocrocin and safranal are shown in Table 1. Crocin violated three rules of Lipinski of five based on its number of hydrogen bond donors and acceptors and molecular weight. Picrocrocin with 7 hydrogen bond acceptors violated one rule of Lipinski's rule. Safranal and crocetin did not violate any Rule of five. All compound did not have mutagenic and tumorigenic properties. Although, picrocrocin and safranal could be irritant. Comparison of drug score demonstrated that crocin, picrocrocin and safranal have the same drug score while the crocetin with higher drug score could be a suitable candidate as drug molecule.
Table 1

Pharmacokinetic and toxicological parameters of crocin, crocetin, picrocrocin and safranal.

CompoundsCrocinCrocetinPicrocrocinsafranal
HBDa14240
HBAb24471
MWc976328.40330.37150.22
Log Pd4.704.210.032.30
MutagenicNoNoNoNo
TumorigenicNoNoNoNo
IrritantNoNoYesYes
Drug likeness-1.851.24-6.9-4.39
Drug score0.280.560.280.29

Number oh hydrogen bond donor.

Number oh hydrogen bond acceptor.

Molecular weight.

Octanol/water partition coefficient.

Pharmacokinetic and toxicological parameters of crocin, crocetin, picrocrocin and safranal. Number oh hydrogen bond donor. Number oh hydrogen bond acceptor. Molecular weight. Octanol/water partition coefficient.

Quantum chemical calculations

For investigating the electronic properties of saffron components the QM calculations was performed as described in section2–3. The obtained results of quantum chemical calculations are represented in Table 2. The energies of highest occupied molecular orbital (HOMO), lowest unoccupied molecular orbitals (LUMO) and the band gap were calculated and molecular orbitals are shown in Figure S1 in Electronic Supplementary information (ESI). Comparison between polarizability and band gap values reveals that with increasing band gap the polarizability decreased. The direction of dipole moment vectors for drug molecules are shown in Figure S1. The magnitude and direction of dipole moment vectors are shown in Figure S2. Considering obtained results, it is evident that crocetin has a strong dipole moment which is different from the other three drug molecules.
Table 2

Energies (Hartree) of HOMO, LUMO and band gap, dipole moment (Debye), polarizability (Bohr) for crocin, crocetin, picrocrocin and safranal.

CompoundscrocetinCrocinpicrocrocinSafranal
HUMO-0.10267-0.10838-0.05716-0.06679
LUMO-0.19295-0.18368-0.24184-0.22576
Band gap0.090280.07530.184680.15897
Dipole moment5.053.343.363.83
axx1831.6201922.435267.518177.513
ayy293.484620.720230.203167.359
azz130.933388.517244.93493.107
Exact polarizability2256.0372931.672742.655437.979
Energies (Hartree) of HOMO, LUMO and band gap, dipole moment (Debye), polarizability (Bohr) for crocin, crocetin, picrocrocin and safranal.

Binding to spike protein

The translocation of the crocetin drug molecule through lipid bilayer is illustrated in Figure 3 (see also Video S1). At first the drug molecule was placed at a distance of 4 nm from the center of mass of the lipid bilayer (Figure 3 (a)). The drug molecule was pulled towards lipid bilayer with a velocity of 0.01 and a spring constant of 10 . Then the drug molecule reached the lipid bilayer surface (Figure 3 (b)) and drug molecule passed the lipid bilayer via spike protein. The translocation of safranal, picrocrocin and crocin drug molecules are shown in Figure. S3, Figure. S4 and Figure. S5, respectively (see also Videos S2, S3 and S4). During passing the crocin molecule from the lipid bilayer, a concave shape was observed in upper leaflet of lipid bilayer (Figure. S5 (d)) and when the crocin molecule exited the bilayer one lipid molecule was extracted.
Figure 3

Snapshots of the crocetin molecule penetration through the lipid bilayer, (a) 0 nm, (b) 2 nm, (c) 4 nm, (d) 6 nm, (e) 8 nm displacement of crocetin molecule. The red cartoon, blue vdW sphere and green lines show the spike protein (PDB ID = 6M0J), crocetin molecule and DPPC bilayer, respectively. The water molecules are ignored for clarification. See also video S1 in Supplementary Information.

Snapshots of the crocetin molecule penetration through the lipid bilayer, (a) 0 nm, (b) 2 nm, (c) 4 nm, (d) 6 nm, (e) 8 nm displacement of crocetin molecule. The red cartoon, blue vdW sphere and green lines show the spike protein (PDB ID = 6M0J), crocetin molecule and DPPC bilayer, respectively. The water molecules are ignored for clarification. See also video S1 in Supplementary Information. Supplementary video related to this article can be found at https://doi.org/10.1016/j.heliyon.2020.e05681 The following is the supplementary data related to this article:

Video S1

video shows the penetration of crocetin molecule through DPPC lipid bilayer.

Video S2

video shows the penetration of safranal molecule through DPPC lipid bilayer.

Video S3

video shows the penetration of picrocrocin molecule through DPPC lipid bilayer.

Video S4

video shows the penetration of crocin molecule through DPPC lipid bilayer. The interaction site of drug molecules with the spike protein at entrance of lipid bilayer is represented in Figure 4. It is clear that the drug molecules have different interaction sites which is depicted with more detail in Figure 5. The picrocrocin dug molecule placed in a position towards the spike protein which polar atoms of picrocrocin are in adjacent with polar and basic amino acids (Figure 5 (a)). As it is illustrated in Figure 5(b) the polar groups (oxygen atoms) of the crocin drug molecule are in adjacent with polar and basic amino acids of the spike protein whereas the nonpolar atoms of picrocrocin (carbon chain) are not very close to the spike protein it seems the non-polar part of crocin drug molecule incline towards hydrophobic part of lipid bilayer. Figure 5 (c) elucidates that the safranal drug molecule positioned at a larger distance from the spike protein in comparison with three other drug molecules. As it is depicted in Figure 5(d) the crocetin drug molecule interacts with polar and acidic amino acids of the spike protein.
Figure 4

The interaction site of drug molecules with spike protein (PDBID = 6M0J) at entrance of lipid bilayer. The orange, cyan, magenta and silver vdW spheres show the crocin, safranal picrocrocin and crocetin drug molecules, respectively. The spike protein is shown with white, green, red and blue cartoon which represent nonpolar, polar, acidic and basic amino acids, respectively.

Figure 5

The interaction site of (a) picrocrocin, (b) crocin, (c) safranal and (d) crocetin with spike protein (PDBID = 6M0J) at entrance of lipid bilayer. The cyan, white and red vdW spheres show the carbon, hydrogen and oxygen atoms in drug molecules, respectively. The spike protein is shown with white, green, red and blue cartoon which represent nonpolar, polar, acidic and basic amino acids, respectively.

The interaction site of drug molecules with spike protein (PDBID = 6M0J) at entrance of lipid bilayer. The orange, cyan, magenta and silver vdW spheres show the crocin, safranal picrocrocin and crocetin drug molecules, respectively. The spike protein is shown with white, green, red and blue cartoon which represent nonpolar, polar, acidic and basic amino acids, respectively. The interaction site of (a) picrocrocin, (b) crocin, (c) safranal and (d) crocetin with spike protein (PDBID = 6M0J) at entrance of lipid bilayer. The cyan, white and red vdW spheres show the carbon, hydrogen and oxygen atoms in drug molecules, respectively. The spike protein is shown with white, green, red and blue cartoon which represent nonpolar, polar, acidic and basic amino acids, respectively. The Lennard-Jones (LJ) and electrostatic potentials between drug molecules and lipid bilayer were calculated to reveal the penetration mechanism of drug molecules. The LJ potential between drug molecules and spike protein and DPPC bilayer are represented in Figure. 6 (a) and Figure. 6(b), respectively. As it is demonstrated in Figure 6, when the drug molecules are placed in a distance of 4 nm from the center of mass of lipid bilayer (zero displacement), there is no LJ interaction between drug molecules and spike protein and DMPC lipid bilayer. By approaching drug molecules to lipid bilayer the LJ potential increased, which is similar to previous studies [68]. The membrane region is defined with dash lines in Figure 6. The negative values of LJ potential verify the attraction force between drug molecules and lipid bilayer [69]. Figure 6(a) clarifies that the picrocrocin does not have a significant LJ interaction with spike protein. When the crocin and crocetin drug molecules entered lipid bilayer their LJ potential with spike protein increased to -160 kJ/mol. Whereas the maximum LJ potential between the safranal and spike protein is -80 kJ/mol which confirms Figure 5 (c) where safranal drug molecule placed at more distance towards the spike protein and LJ and vdW potential are inversely proportional with distance [70]. Then the drug molecules continued their pass and by exiting them from lipid bilayer the LJ potential decreased. The trend of LJ potential between drug molecules and DPPC lipid bilayer in Figure 6 (b) is similar to Figure 6(a). High LJ potential between the crocin drug molecule and DPPC bilayer is demonstrated in Figure 6 (b) this high potential of interaction could interpret the extraction of lipid molecule which was observed in Figure. S4 (d) and Figure 5 (b).
Figure 6

Lennard-Jones (LJ) potential energy profiles between (a) the spike protein (PDB ID = 6M0J) and (b) DPPC bilayer and drug molecules versus displacement drug molecules. The dash lines show the lipid bilayer region.

Lennard-Jones (LJ) potential energy profiles between (a) the spike protein (PDB ID = 6M0J) and (b) DPPC bilayer and drug molecules versus displacement drug molecules. The dash lines show the lipid bilayer region. The electrostatic potential between drug molecules and spike protein and DPPC bilayer are depicted in Figure. 7 (a) and Figure. 7 (b), respectively. The electrostatic potential between drug molecules and spike protein and DPPC lipid bilayer is not notable in the out of membrane region. Figure 7 (a) indicates that the safranal drug molecule does not have remarkable electrostatic interaction with spike protein. the picrocrocin drug molecule showed -115 kJ/mol electrostatic interaction with spike protein in the entrance of lipid bilayer but it was instantaneous and dropped fast. On the other hand, there is a strong electrostatic interaction between crocin and crocetin and spike protein in the membrane region. As it is demonstrated in Figure 7 (b), the electrostatic interactions between drug molecules and DPPC lipid bilayer is considerable in the entrance and outlet of lipid bilayer where hydrophilic groups are present while due to the hydrophobic nature of the center of lipid bilayer a decline in electrostatic potential was observed. The safranal drug molecule has a weak electrostatic interaction with DPPC lipid bilayer. The crocetin and picrocrocin have electrostatic interaction with polar groups (head groups) of DPPC whereas the crocin drug molecule has strong electrostatic interaction with DPPC that could justify the reason for extracting lipid in Figure. S5(d). The number of hydrogen bonds between the drug molecules and spike protein is described in Figure 8. It is explained in Figure 8 where the electrostatic between drug molecules and spike protein increase, the number of hydrogen bonds between them is high. the safranal drug molecule has the minimum electrostatic potential and number of hydrogen bonds with spike protein. The crocin and crocetin have maximum electrostatic potential and hydrogen bond with spike protein.
Figure 7

Electrostatic potential energy profiles between (a) the spike protein (PDB ID = 6M0J) and (b) DPPC bilayer and drug molecules versus displacement drug molecules. The dash lines show the lipid bilayer region.

Figure 8

Number of hydrogen bonds between (a) safranal, (b) picrocrocin, (c) crocin and (d) crocetin molecule and spike protein versus displacement drug molecules. The dash lines show the lipid bilayer region.

Electrostatic potential energy profiles between (a) the spike protein (PDB ID = 6M0J) and (b) DPPC bilayer and drug molecules versus displacement drug molecules. The dash lines show the lipid bilayer region. Number of hydrogen bonds between (a) safranal, (b) picrocrocin, (c) crocin and (d) crocetin molecule and spike protein versus displacement drug molecules. The dash lines show the lipid bilayer region. The force of translocation of drug molecules versus displacement is illustrated in Figure 9. As it is depicted in Figure 9, when the drug molecules entered the membrane region, the force increased. This increase in force is due to LJ and electrostatic potentials (Figure.4 and Figure. 5). The pulling force increased until the drug molecule reached the centre of the lipid bilayer, where the maximum value of pulling force was observed. Then the drug molecule continued its way and in the exit path, the force decreased gradually this trend in force profile also was observed in similar studies [71,72,73]. The maximum point in force-displacement profiles identifies the binding energy between the drug molecule and the lipid bilayer [74]. The results in Figure 7 prove that the crocetin drug molecule has the highest binding affinity with the lipid bilayer which is in accordance with QM calculations that showed the crocetin has strong dipole moment which facilitates penetration of drug through lipid bilayer. This result also obtained in other studied where drugs with higher dipole moment have more tendency to encapsulate in drug carriers [75].
Figure 9

The force-displacement profile of drug molecules during translocation from lipid bilayer. The dash lines show the lipid bilayer region.

The force-displacement profile of drug molecules during translocation from lipid bilayer. The dash lines show the lipid bilayer region.

Binding to main protease

Initially the drug molecules were placed at a distance of 5 nm from the center of mass of the main protease. Then they pulled towards main protease with a constant velocity as it is illustrated in Figure S6 (see also Videos S5, S6, S7 and S8). The interaction sites of drug molecules on the surface of the main protease is illustrated in Figure 10. The different properties of drug molecules caused the diverse interaction sites for them. As it is depicted in Figure 11 (a) the oxygen atoms of picrocrocin positioned in a place near to glutamic (GLU) amino acid which is acidic. Figure 11 (b) elucidates that the non-polar atoms of crocin molecule (carbon chain) placed near to alanine (ALA), phenylalanine (PHE), methionine (MET) and proline (PRO) which are nonpolar amino acids. Also the polar atoms of crocin are near to serine (SER) as polar amino acid and arginine (ARG) and lysine (LYS) as basic amino acids. The interaction site of safranal is same as crocin but the distance between crocin and main protease in lower than the distance between safranal and main protease. The crocetin drug molecule (Figure 11 (d)) interacts with polar and acidic amino acids which are threonine (THR) and aspartic acid (ASP), respectively.
Figure 10

The interaction site of drug molecules with main protease (PDBID = 6M03) at entrance of lipid bilayer. The orange, cyan, magenta and yellow vdW spheres show the crocin, safranal picrocrocin and crocetin drug molecules, respectively. The spike protein is shown with white, green, red and blue surf which represent nonpolar, polar, acidic and basic amino acids, respectively.

Figure 11

The interaction site of (a) picrocrocin, (b) crocin, (c) safranal and (d) crocetin with protease (PDBID = 6M03) at entrance of lipid bilayer. The cyan, white and red vdW spheres show the carbon, hydrogen and oxygen atoms in drug molecules, respectively. The main protease is shown with white, green, red and blue cartoon which represent nonpolar, polar, acidic and basic amino acids, respectively.

The interaction site of drug molecules with main protease (PDBID = 6M03) at entrance of lipid bilayer. The orange, cyan, magenta and yellow vdW spheres show the crocin, safranal picrocrocin and crocetin drug molecules, respectively. The spike protein is shown with white, green, red and blue surf which represent nonpolar, polar, acidic and basic amino acids, respectively. The interaction site of (a) picrocrocin, (b) crocin, (c) safranal and (d) crocetin with protease (PDBID = 6M03) at entrance of lipid bilayer. The cyan, white and red vdW spheres show the carbon, hydrogen and oxygen atoms in drug molecules, respectively. The main protease is shown with white, green, red and blue cartoon which represent nonpolar, polar, acidic and basic amino acids, respectively. Supplementary video related to this article can be found at https://doi.org/10.1016/j.heliyon.2020.e05681 The following is the supplementary data related to this article:

Video S5

video shows the binding of safranal molecule to main protease of SASRS-CoV-2.5

Video S6

video shows the binding of picrocrocin molecule to main protease of SASRS-CoV-2.

Video S7

video shows the binding of crocin molecule to main protease of SASRS-CoV-2.

Video S8

video shows the binding of crocetin molecule to main protease of SASRS-CoV-2. The force-displacement profile of drug molecules during binding to the main protease is shown in Figure 12. There is no strong force between the safranal and the main protease. When the picrocrocin was placed at the distance of 2.5 nm (2.5 nm displacement) from the main protease a maximum in force profile was observed. On the other hand, the maximum force of crocin and crocetin appeared at.
Figure 12

The force-displacement profile of drug molecules during binding to main protease (PDB ID = 6M03) of SARS-CoV-2.

The force-displacement profile of drug molecules during binding to main protease (PDB ID = 6M03) of SARS-CoV-2. at distance 1.5 nm (3.5 nm displacement) from the main protease. The difference in location of maximum force ascertains that picrocrocin bound to a site of protease which is different from crocin and crocetin. The LJ and electrostatic potential and the number of hydrogen bonds between drug molecules and the main protease of SARA-CoV-2 are presented in Figure. S7, Figure. S8 and Figure. S9, respectively. The safranal drug molecule does not have noticeable LJ and electrostatic interactions with the main protease. The maximum LJ and electrostatic potential of picrocrocin were observed at distance 2.5 nm from the main protease where the pulling force is maximum. Also, these mentioned maximum interactions were observed at the distance of 1.5 nm from the main protease for crocin and picrocrocin. The value of maximum force, which is equivalent to binding energy, for crocin and crocetin was higher than the other two drugs.

Conclusion

In this study by employing steered molecular dynamics, as a powerful and efficient method, the binding affinity between main components of saffron that include: crocin, crocetin, safranal, and picrocrocin as drug molecules and spike protein and main protease of SARS-CoV-2 was evaluated. At first, the spike protein embedded in a 128 DPPC bilayer and translocation of drug molecules through this lipid bilayer was simulated. The Lennard-Jones and electrostatic potential and formation of hydrogen bonds between drug molecules and protein were recognized. The obtained force-displacement profile proved that crocetin has the maximum force and so maximum binding affinity to spike protein. The pharmacokinetic and toxicological parameters indicated that crocetin has high drug score and satisfies rules of five. Also, the obtained results from QM calculations elucidated that the strong dipole moment and polarizability of crocetin drug molecules facilitates drug penetration through lipid bilayer. In the next step binding between drug molecules and the main protease of SARS-CoV-2 was determined. The interaction sites of drug molecules with spike protein and main protease which are depicted with detail in Figure. 5 and Figure. 11, showed that the drug molecules have special interaction site with proteins that are controlled by their functional groups. The obtained result elucidated that crocin and crocetin drug molecules have a high binding affinity towards the main protease. Crocetin is the drug molecule that has a good translocation from lipid bilayer and a high binding affinity to the main protease. This study by considering spike protein and main protease tried to represent a complete representation of SARS-CoV-2 which could be a promising tool for finding treatments.

Declarations

Author contribution statement

A.R. Saadatabadi: Conceived and designed the experiments; Analyzed and interpreted the data. A. Kordzadeh: Performed the experiments; Wrote the paper. A. Hadi: Contributed reagents, materials, analysis tools or data.

Funding statement

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

Data availability statement

Data will be made available on request.

Competing interest statement

The authors declare no conflict of interest.

Additional information

No additional information is available for this paper.
  25 in total

Review 1.  Steered molecular dynamics and mechanical functions of proteins.

Authors:  B Isralewitz; M Gao; K Schulten
Journal:  Curr Opin Struct Biol       Date:  2001-04       Impact factor: 6.809

2.  Steered molecular dynamics investigations of protein function.

Authors:  B Isralewitz; J Baudry; J Gullingsrud; D Kosztin; K Schulten
Journal:  J Mol Graph Model       Date:  2001       Impact factor: 2.518

3.  Top leads for swine influenza A/H1N1 virus revealed by steered molecular dynamics approach.

Authors:  Binh Khanh Mai; Man Hoang Viet; Mai Suan Li
Journal:  J Chem Inf Model       Date:  2010-11-23       Impact factor: 4.956

4.  Partitioning of anesthetics into a lipid bilayer and their interaction with membrane-bound peptide bundles.

Authors:  Satyavani Vemparala; Leonor Saiz; Roderic G Eckenhoff; Michael L Klein
Journal:  Biophys J       Date:  2006-07-28       Impact factor: 4.033

5.  VMD: visual molecular dynamics.

Authors:  W Humphrey; A Dalke; K Schulten
Journal:  J Mol Graph       Date:  1996-02

6.  Area/lipid of bilayers from NMR.

Authors:  J F Nagle
Journal:  Biophys J       Date:  1993-05       Impact factor: 4.033

7.  How does huperzine A enter and leave the binding gorge of acetylcholinesterase? Steered molecular dynamics simulations.

Authors:  Yechun Xu; Jianhua Shen; Xiaomin Luo; Israel Silman; Joel L Sussman; Kaixian Chen; Hualiang Jiang
Journal:  J Am Chem Soc       Date:  2003-09-17       Impact factor: 15.419

8.  Blocking of carbon nanotube based nanoinjectors by lipids: a simulation study.

Authors:  E Jayne Wallace; Mark S P Sansom
Journal:  Nano Lett       Date:  2008-07-30       Impact factor: 11.189

9.  Carbon nanotube-encapsulated drug penetration through the cell membrane: an investigation based on steered molecular dynamics simulation.

Authors:  Seyedeh Zahra Mousavi; Sepideh Amjad-Iranagh; Yousef Nademi; Hamid Modarress
Journal:  J Membr Biol       Date:  2013-08-25       Impact factor: 1.843

Review 10.  Origin and evolution of pathogenic coronaviruses.

Authors:  Jie Cui; Fang Li; Zheng-Li Shi
Journal:  Nat Rev Microbiol       Date:  2019-03       Impact factor: 60.633

View more
  5 in total

1.  Liposomal Saffron: A Promising Natural Therapeutic and Immune-Boosting Agent.

Authors:  Raziyeh Jamalifard; Seyedeh Narges Jamali; Sepideh Khorasani; Iman Katouzian; MilintNeleptchenko Wintrasiri; M R Mozafari
Journal:  Int J Prev Med       Date:  2022-08-08

2.  Engineering of 2D nanomaterials to trap and kill SARS-CoV-2: a new insight from multi-microsecond atomistic simulations.

Authors:  Mohammad Khedri; Reza Maleki; Mohammad Dahri; Mohammad Moein Sadeghi; Sima Rezvantalab; Hélder A Santos; Mohammad-Ali Shahbazi
Journal:  Drug Deliv Transl Res       Date:  2021-09-03       Impact factor: 5.671

Review 3.  Saffron: A potential drug-supplement for severe acute respiratory syndrome coronavirus (COVID) management.

Authors:  Amjad M Husaini; Khan Nadiya Jan; Gowher A Wani
Journal:  Heliyon       Date:  2021-05-14

4.  Honghua extract mediated potent inhibition of COVID-19 host cell pathways.

Authors:  Malika Madikyzy; Meruyert Tilegen; Guldan Nazarbek; Chenglin Mu; Aidana Kutzhanova; Xugang Li; Cuiping Ma; Yingqiu Xie
Journal:  Sci Rep       Date:  2022-08-22       Impact factor: 4.996

5.  Saffron for "toning down" COVID-19-related cytokine storm: Hype or hope? A mini-review of current evidence.

Authors:  Alexios-Fotios A Mentis; Maria Dalamaga; Cuncun Lu; Moschos G Polissiou
Journal:  Metabol Open       Date:  2021-07-21
  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.