Literature DB >> 33994607

Inhibition of SARS-CoV-2 reproduction using Boswellia carterii: A theoretical study.

Mustafa M Kadhim1, Abbas Washeel Salman2, Ameerah Mrebee Zarzoor3, Wesam R Kadhum4.   

Abstract

This study investigated the possibility of inhibition of the SARS-CoV-2 virus using the compounds alpha-Boswellic acid (ABA) and beta-Boswellic acid (BBA) which are active components in the well-known natural product Boswellia carterii (BC). The SARS-CoV-2 virus reproduces in the body by linking its spike with the cell receptor. At the same time, a pH range (4.5-6) of the cell's lysosomes is considered as a perfect environment to release RNA in the cell cytoplasm. In view of these, docking studies were employed to study the interaction between the spikes of the virus and ABA or BBA using Molecular Graphic Laboratory (MGL) tools and AutoDock Vina application. The binding of the ABA and BBA with the spike of the virus could inhibit its reproduction or provide sufficient time for the immune system to recognize the virus and hence, produce suitable antibodies. In addition, the pKa of ABA, BBA and hydroxychloroquine (HCQ) were calculated using HF/6-311G (d,p) method and then they were compared with the experimental pKa of HCQ. The Lethal Concentrations (LC50) of ABA and BBA were also calculated. In addition, molecular electrostatic potential is reported which indicates the active sites of ABA and BBA.
© 2021 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Autodock; Boswellia carterii; COVID-19; DFT; MEP; SARS-CoV-2

Year:  2021        PMID: 33994607      PMCID: PMC8105125          DOI: 10.1016/j.molliq.2021.116440

Source DB:  PubMed          Journal:  J Mol Liq        ISSN: 0167-7322            Impact factor:   6.165


Introduction

Coronaviruses are a large group of single-strand RNA viruses [1]. Recently COVID-19 pandemic appeared in Wuhan, China [2] and became a global concern in a very short period. To date, more than 100 million individuals were infected and more than 2 million were killed with a mortality rate of about 2.17% based on the World Health Organization. The ability of the virus leading to humanhuman infections raises lots of attention and is a major concern. International air travel and sometime, the lack of awareness have played a key role in the transmission of the virus. Recently, the complete genome sequence of the virus was listed in the National Center for Biotechnology Information (GenBank: MN908947.3). This helped in the determination of the structure and glycosylation pattern of the viral proteins and the method of interaction with the host cell. Like the other coronaviruses, the outer membrane has a spike glycoprotein responsible for its glycosylation [3]. It is reported that chloroquine (CQ) phosphate, inhibits COVID-19 infection in vitro [4]. CQ (N4-(7-Chloro-4-quinolinyl)-N1,N1-diethyl-1,4- pentane diamine) has been used against amebiasis and malaria, but the uses of this drug were limited for several reasons; one of them is the overdose of CQ could cause acute poisoning and death, and the other is that it can lead to eye damage, heart disease, worsen skin conditions and it is fatal for some children [5]. Thus, there has been increasing interest in the derivatives of CQ. For instance, hydroxychloroquine (HCQ) sulfate, was prepared in 1946 by introducing a hydroxyl group into CQ and it was found to be less toxic than CQ in animals [6]. HCQ is a weak base, it elevates the pH of acidic intracellular organelles such as lysosomes, which is important for the fusion of membrane [7]. Recent studies [8], [9] indicate that HCQ blocks the transport of COVID-19 from early to late endosomes, which appears to be a requirement to release the viral genome as in the case of SARS-CoV [10], [11]. Theoretical calculations, particularly density functional theory (DFT) method has been used to predict the most stable conformation for different compounds and isomers [12], [13], [14]. Further, it is used in combination with docking, which helps to rationalize the design of new therapeutic agents for treating the human disease [15], [16]. This research work proposes a method to inhibit virus activity complications and even give the infected body enough time to produce suitable antibodies. Docking and DFT computations were used to estimate the interaction of the natural products ABA and BBA (Fig. 1 ), which is used to treat indigestion with the viral glycoprotein in the spike. ABA and BBA were chosen based on their biological activity in previous studies [9], [17], [18] and it is known to have minimum side effect according to BC products [19]. We also compared ABA and BBA with HCQ as a standard antiviral drug to determine whether they would give the same effect as for the HCQ or not.
Fig. 1

Structures of ABA and BBA.

Structures of ABA and BBA.

Computational methods

The protein structure downloaded by (Research Collaboratory for Structural Bioinformatics) RCSB [15] using Molecular Graphic Laboratory (MGL) tools and AutoDock Vina application [16], [17]. The coordinates of the spike structure and the ligands (ABA and BBA) were separated with the help of Autodock tools (ADT, version 1.5.6). The SARS-CoV-2 spike glycoprotein-S1 protein and ligands structures were processed to a format recognized by the ADT (*.pdbqt files) by adding all hydrogen atoms, Gasteiger charges, and merging the polar hydrogen atoms. The Autodock often tries to identify the root for the molecule unless the user specifies it. In this work, the Autodock automatically selected the root. The atoms specific affinity maps for all ligand atom types, electrostatic and desolation potentials were computed with the help of Auto grid (version 4.2.6) [18]. PyMol was used to analyze the results [19], [20], [21], [22], [23], [24]. ABA and BBA were optimized in the gas phase, without any symmetry restriction, before the docking process using Gaussian 16 [25] based on the DFT method with the B3LYP functional [26], [27] in conjunction with the 6–311++G(d) basis set [28]. The optimization was followed by frequency computations to ensure that the complex was a true local minimum. The optimized structures of ABA and BBA are illustrated in Fig. 2 and their coordinates are provided in Table SI1 (supplementary information). The molecular electrostatic potential (MEP) was also investigated by using unrestricted DFT method and 6-31G (d,p) basis set.
Fig. 2

Optimized structures of ABA and BBA using the B3LYP/6-311G(d,p) method.

Optimized structures of ABA and BBA using the B3LYP/6-311G(d,p) method.

Results and discussion

Spike-ABA and -BBA interactions

The active functional groups in ABA and BBA are OH and COOH and according to geometry optimization, there are planarities in some parts (according to cis and trans of atoms in the molecules, each four atom of cis are near to zero and trans near to 180°). On the basis of MEP (Fig. 3 ), there is high electron density (red color) on the regions involving the OH and COOH groups [22]. The structure code from PDB is (6acd) Fig. 4 . We compared the best sites to link with the protein by calculating the binding energy [29]. The range of binding energy values are −7.3 to −8.0 kcal/mol for ABA and −7.2 to −7.7 kcal/mol for BBA. The better location of the bonded protein turns out at (-7.7 kcal/mol) for both with ABA and BBA. The bond lengths of the interacted OH and COOH are 3.0 and 3.1 Å respectively (Fig. 5 ). In addition, protein-BBA(OH) bond length is 3.22 Å. The analysis of the results using DSV program shows the interaction between the amino acid consistence spike and ABA (Fig. 6 ). There is hydrogen bonding between the carboxyl group and ARG, while van der Waals forces with SER. Further, all hydrogen atoms could interacts with protein. In BBA, there is van der Waals interaction between the terminal alkyl ring and the LYS, while there is a chemical interaction between LEU with the carboxyl group. These results support the link between the protein and the inhibitor. On this basis, blocking the spike of the virus can delay its adhesion to the surface of the cell. Therefore, this process could provide additional time for the body to prepare an environment for antibodies.
Fig. 3

MEP surfaces of ABA and BBA.

Fig. 4

The interaction of ABA and BBA with protein of spike parts.

Fig. 5

ABA and BBA compounds with spike protein linkage.

Fig. 6

Two dimension interactions structures of ABA and BBA.

MEP surfaces of ABA and BBA. The interaction of ABA and BBA with protein of spike parts. ABA and BBA compounds with spike protein linkage. Two dimension interactions structures of ABA and BBA.

ABA and BBA activity

A previous study proved the different pH in the range of (4.5–6) that could prevent virus reproduction by inhibiting the glycosylation enzymes which in turn release the RNA in cell cytoplasm [8], [30]. From these studies, the pKa of the compounds used to confirm the calculations, and the regression correlation coefficient (R2) values is 0.9754 (Fig. 7 ). Gibbs free energy was calculated by HF/frequently (6-311G++/p,d) basis set. Equation (1) was used to estimate the pKa of HCQ, ABA and BBA compounds at 298 K [31], [32].
Fig. 7

Plot of the experimental versus theoretical values of pKa for ABA, BBA and HCQ.

Plot of the experimental versus theoretical values of pKa for ABA, BBA and HCQ. Where the ΔG is a Gibbs free energy and was calculated by Equations (2), (3), [H2O] is the water concentration. All parameters for ABA and BBA were calculated according to the cycle: While the HCQ parameters calculated by the cycle: The ΔG solv values of ABA, BBA and HCQ are 15.64, 14.97 and 21.36 kcal/mol, respectively ( Table 1 ). The reported value of pKa for HCQ is 9.67, which differs with the theoretical by 0.06 [33]. The calculated pKa of ABA and BBA compounds found to be 5.30 and 4.88, respectively, while the experimental values are 5.70 and 4.41 [34], [35]. The acidity order of the compounds studied is BBA > ABA > HCQ. The values indicate the acidity of ABA, BBA and the basicity of HCQ.
Table 1

Parameters of thermodynamic calculations by HF method with experimental values.

Comp.ΔGg (kcal/mol)ΔGsol (kcal/mol)pKa (Cal.)pKa (Exp.)
HCQ506.221.369.629.67
ABA153.815.645.305.70
BBA153.514.974.884.41
Parameters of thermodynamic calculations by HF method with experimental values.

Lethal concentration method (LC50)

LC50 is the maximum concentration nontoxic per Kilogram and Equation 4 used to estimate the LC50 values. Log LC50 = 38.00 – 1.13 × Str + 1.38 × 10-3 × ωH – 2.22 × 10-3 × ωL – 0.36 × IA Equation 4 Where Str = Translational entropy, ω = vibrational wavenumber, IA = principal moment of inertia, ωH = High frequency and ωL = Low frequency [36]. The LC50 values for ABA and BBA were 6.59 × 10-8 and 6.51 × 10-8 mol/L, respectively (Table 2 ). The results indicate that high concentration can be use in the human body for ABA and BBA.
Table 2

Predicted toxicity parameters of the studied compounds (ABA and BBA).

Compound.StrIAωHωLLC50 (mol/L)
ABA44.24313792.4126.886.59 × 10-8
BBA44.24313792.3429.336.51 × 10-8
Predicted toxicity parameters of the studied compounds (ABA and BBA).

Conclusions

A theoretical study on ABA and BBA compounds as an active component from natural product Boswellia carterii to inhibit SARS-Cov-2 virus was carried out. Computational methods were used to study their binding to the spikes of the virus. The MEP showed that the ABA and BBA interaction sites are the OH and COOH groups. The binding energy indicates the high affinity between the spike proteins with the studied compounds. The calculations indicate hydrogen bonding and van der Waals forces for ABA and BBA interacting with the spikes. Hydroxychloroquine was compared with ABA and BBA using the calculated pKa values. The LC50 values indicated that a high amount of ABA and BBA could be used safely in the human body.

CRediT authorship contribution statement

Mustafa M. Kadhim: Project administration, Software, Methodology. Abbas Washeel Salman: Supervision, Investigation. Ameera Mrebee Zarzoor: Formal analysis, Resources. Wesam R. Kadhum: Formal analysis, Validation, Data curation.

Declaration of Competing Interest

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