Blocking the interactions between human ACE2 and coronavirus spike glycoprotein by selected drugs: a computational perspective
Article information
Abstract
The coronavirus disease of 2019 (COVID-19) has become a global pandemic with rapid rate of transmission and fatalities worldwide. Scientists have been investigating a host of drugs that may be rechanneled to fight this malaise. Thus, in this current computational study we carried out molecular docking experiments to assess the bridging potentials of some commercial drugs such as chloroquine, hydroxychloroquine, lopinavir, ritonavir, nafamostat, camostat, famotidine, umifenovir, nitazoxanide, ivermectin, and fluvoxamine at the interface between human ACE2 and the coronavirus spike glycoprotein complex. This is aimed at ascertaining the ability of these drugs to bridge and prevent the complexing of these two proteins. The crystal structure of human ACE2 and the coronavirus spike glycoprotein complex was retrieved from protein database, while the selected drugs were retrieved from PubChem data base. The proteins and drugs were prepared for docking using Cresset Flare software. The docking was completed via AutoDock Vina module in Python Prescription software. The best hit drugs with each receptor were selected and their molecular interactions were analyzed using BIOVIA’s Discovery Studio 2020. The best hit compounds on the human ACE2 were the lopinavir (-10.1 kcal/mol), ritonavir (-8.9 kcal/mol), and nafamostat (-8.7 kcal/mol). Ivermectin, nafamostat, and camostat with binding energy values -9.0 kcal/mol, -7.8 kcal/mol, and -7.4 kcal/mol respectively were the hit drugs on the coronavirus spike glycoprotein. Nafamostat showed a dual bridging potential against ACE2 and spike glycoprotein, and could therefore be a promising lead compound in the prevention and control of this disease.
Introduction
The coronavirus disease of 2019 (COVID-19) has become a global pandemic with rapid rate of transmission and high levels of fatalities in many countries [1,2]. The numbers of deaths from this disease have surpassed 3.7 million worldwide as at June, 2021 [3]. Various endeavors have been made to design novel inhibitors or utilize drug repurposing approach to recognize anti-COVID-19 drugs, which can go about as promising inhibitors of COVID-19 proteins [4]. The spike protein of the coronavirus is found on the surface of the virus and has huge protrusions or peplomers which appear like crowns hence the name CORONA (the Latin word for crown). It has three segments namely: the big ectodomain, the transmembrane domain and the intracellular tail. The receptor-binding subunits S1 and S2 are located in the ectodomain area. At infection, the S1 receptor-binding subunit binds to the host receptor while the S2 receptor-binding subunit fuses with the host, releasing the genome of the virus into the cell [5]. The angiotensin-converting enzyme 2 (ACE2) was identified two decades ago and received its name due to its homology with ACE [6]. The ACE2 is a type I transmembrane glycoprotein which is considered a critical receptor for coronavirus infections as well as a therapeutic target for COVID-19 patients. The virus attaches to the host ACE2 receptor and then uses the spike protein to enter target cells [7].
Numerous studies related to identifying effective therapeutics against COVID-19 have been reported [8,9]. Sadly, there are no particular treatments endorsed by perceived globally recognized health organizations, like the WHO and US Food and Drug Administration (FDA). Scientists have been investigating a plethora of drugs that may be repurposed either alone or in combination with other known drugs to fight COVID-19 [4,10]. Currently, fifteen drugs including chloroquine, hydroxychloroquine, lopinavir, ritonavir, nafamostat, camostat, famotidine, umifenovir, nitazoxanide, ivermectin and fluvoxamine are being studied with the hope of discovering a treatment for this disease [11]. Regardless of their accomplishment in clinical reports, none have acquired endorsement for use as their mechanisms of action on the virus are yet to be elucidated.
In this study, we performed an in silico investigation of the bridging potentials of some of the aforementioned drug candidates at the interface between human ACE2 and the coronavirus spike glycoprotein complex. The binding affinity of these drug compounds on the targets would be used to assess their abilities to block the complexing of the two proteins.
Materials and Methods
Protein receptors and ligand retrieval and preparations
Three dimensional (3D) structures of the drug compounds were retrieved from PubChem web server in simple document format (SDF). They were optimized using Open babel in Python Prescription (version 0.8) which converted the ligands energetically to the most stable structures using Merk Molecular Force Field 94 (MMFF94). Similarly, the 3D X-ray crystallographic structure of the human ACE2 and SARS-CoV-2 spike glycoprotein (Figures 1 and 2) was retrieved from the protein data bank (PDB) with ID 6LZG [12]. The proteins were then prepared for docking and minimized using the relevant tools in Cresset Flare© software, version 4.0 [13]. The protein minimization was based on the General Amber Force Field (GAFF), with gradient cutoff of 0.200 kcal/mol/A and iterations was set to 2000 iterations [8,14].
Molecular docking procedure
The molecular docking was achieved through flexible docking protocol [8,15]. In brief; Python Prescription 0.8, a suite housing Auto Dock Vina module, was employed for the molecular docking study of the selected compounds with both protein receptors. The specific target site on each receptor where complexing occurred between ACE2 and spike glycoprotein [12] were set using grid box dimensions 17.9656 × 43.3347 × 22.1744 Å and 21.9505 × 42.7540 × 41.9980 Å for ACE2 and spike glycoprotein respectively. Also, the centres for both receptors were adjusted based on their active site. At the end of the molecular docking, ten binding poses of the protein-ligand complex was generated and scoring result was created after retrieving the text file for comparative analysis. BIOVIA’s Discovery Studio 2020 was deployed for the molecular interaction analyses both in 2D and 3D presentation.
Results and Discussion
The binding affinities of these drugs on the human ACE2 and spike glycoprotein targets are shown in (Table 1).
The compounds with the highest binding affinities on the human ACE2 were the antiretroviral drugs lopinavir (-10.1 kcal/mol), ritonavir (-8.9 kcal/mol), and the anti-inflammatory drug nafamostat (-8.7 kcal/mol). The interactions of these drugs with the amino acids at the target site of ACE2 protein are shown in (Figure 3).
The amino acids on the ACE2 target that interacted with the drugs and the nature of the interactions between them are summarized in (Table 2).
Similar amino acids interacted withlopinavir and ritonavir on the human ACE2 protein. Pi-Pi stacked and Pi-Alkyl interactions occurred at PHE40 and ARG393 of this protein for both drugs, while TRP69 formed a hydrogen bond with Ritonavir and a Pi-Pi T-shaped bond with Lopinavir. Nafamostat interacted with ARG393 via hydrogen bonding and Pi-Alkyl interactions and with PHE40 by Pi-Pi T-shaped interaction.
Ivermectin, nafamostat, and camostat had the highest binding affinity on the spike glycoprotein with binding free energy values -9.0 kcal/mol, -7.8 kcal/mol, and -7.4 kcal/mol respectively. This result indicated that the binding of these drugs at the spike glycoprotein target could inhibit its penetration into the human ACE2. The interactions of these drugs with the amino acids at this site are shown in (Figure 4).
The amino acids on the spike glycoprotein target that interacted with these drugs and the nature of the interactions between them are summarized in (Table 3).
Hydrogen bonds were prevalent in the binding of all the drugs with the spike glycoprotein. The binding interaction of ivermectin with the amino acid residues at the target site was formed by three hydrogen bonds. Nafamostat and camostat were bound to the residues by four hydrogen bonds together with other interactions. Hydrogen bonds are strong interactions that could confer high stability to the drugs at protein targets. The amino acid residues that interacted with these drugs were markedly different and suggested that their inhibition of the action of the spike glycoprotein followed different mechanisms.
Discussion
Chloroquine, hydroxychloroquine, lopinavir, ritonavir, nafamostat, camostat, famotidine, umifenovir, nitazoxanide, ivermectin, and fluvoxamine were used for the in silico binding studies. Chloroquine is a well-known anti-malarial drug for the treatment of malarial caused by Plasmodium vivax, Plasmodium ovale, Plasmodium falciparium, and Plasmodium malariae. Hydroxychloroquine is used to prevent and treat malaria in areas where malaria remains sensitive to chloroquine. Other uses include treatment of rheumatoid arthritis, lupus, and Porphyria cutaneatarda. It is taken orally often in the form of hydroxychloroquine sulfate [16,17] Lopinavir and ritonavir are HIV protease inhibitors used as a combination product with other HIV medications to control HIV infections. Ritonavir acts as a pharmacokinetic booster to other protease inhibitor to give a highly active antiretroviral effect [18] Nitazoxanide is used in the treatment of diarrhea caused by Cryptosporidium parvum or Giardia lamblia [19]. Nafamostat, a broad-spectrum protease inhibitor is used as an anticoagulant in patients with hemorrhagic cases. It is also anti-inflammatory and increases mucus clearance in the airways. It prevents blood clot formation during extracorporeal circulation in patients undergoing continuous renal replacement therapy and extra corporeal membrane oxygenation. Both Nafamostat and Camostat were developed in Japan as treatments for pancreatitis and some other diseases. They can be used as lone drugs or in combination with other antiviral drugs [20]. Famotidine is used to treat and prevent intestinal and gastric ulcers, heartburn, esophagitis, gastroesophageal reflux disease as well as Zollinger-Ellison syndrome. It decreases production of acid in the stomach and relieves cough [21]. Umifenovir, licensed in China and Russia is an antiviral medication for the treatment of influenza and other respiratory infections. It is also indicated against other viruses, enveloped or not, that are responsible for infectious diseases such as hepatitis B and C, gastroenteritis, hemorrhagic fevers or encephalitis [22]. Fluvoxamine is an antidepressant used to treat obsessive-compulsive disorder and also restores the balance of serotonin in the brain [23]. Ivermectin is an antihelmintic used against parasitic infestations. It is used for the treatment of onchocerciasis, strongyloidiasis, ascariasis, filariases, mites, lice, and scabies. In veterinary medicine, it is used to prevent and treat heartworm and acariasis, among other indications [24].
The binding free energy values displayed by lopinavir, ritonavir, and nafamostat after the docking study (Table 1) indicated that these compounds could disrupt the complexing of the spike glycoprotein with the human ACE2 [25]. Similarly, the interactions of lopinavir and ritonavir with the amino acids of human ACE2 (Figure 3) suggested that the mechanism of action of these drugs are similar [26]. Three hydrogen bond interactions between nafamostat and ACE2 protein conferred the drug with greater stability at the protein target [27]. It is of interest to note that two amino acid residues PHE40 and ARG393 (Table 2) are found to be important sites on the ACE2 protein for the interaction and action of these drugs. On the other hand, Ivermectin, nafamostat, and camostat had the highest binding affinity on the spike glycoprotein (Table 2) which indicated that the binding of these drugs at the spike glycoprotein target could inhibit its penetration into the host’s cell via the human ACE2. Furthermore, the interactions of these drugs with the amino acids at the site of contact in the spike glycoprotein with the human ACE2 were mostly by hydrogen bonding (Figure 4 and Table 3). The hydrogen interactions reported herein, are typically strong interactions that could confer high stability to the drugs at protein targets. Different amino acid residues however were found to interact with these drugs and suggested that their inhibition of the activity of the spike glycoprotein followed varying mechanisms.
Conclusions
The potentials of chloroquine, hydroxychloroquine, lopinavir, ritonavir, nafamostat, camostat, famotidine, umifenovir, nitazoxanide, ivermectin, and fluvoxamine to inhibit the interaction of the spike glycoprotein of the coronavirus and the human ACE2 protein were studied in silico. Molecular docking was performed on the zone harboring the amino acids involved in the complexing of these two proteins. Lopinavir, ritonavir, and nafamostat showed good binding affinity on ACE2, while ivermectin, nafamostat, and camostat had the best binding affinity on the coronavirus spike glycoprotein. The good binding affinity demonstrated by nafamostat at both ACE2 and spike glycoprotein showed that this drug could impact dual action in blocking the interactions of the two proteins and hence infection by COVID-19.
Recommendation
The unabated fatality of COVID-19 all over the world calls for urgent attention in finding an effective and affordable cure for this disease. The drug nafamostat has shown good binding affinity on the human ACE2 and spike glycoprotein of the coronavirus. This drug should therefore be subjected to further screening to establish its efficacy and possible implementation in controlling this worldwide pandemic.
Abbreviations
COVID-19
coronavirus disease of 2019
ACE2
angiotensin-converting enzyme 2
SARS-CoV-2
acute respiratory syndrome coronavirus 2
ARG
arginine
PHE
phenylalanine
Acknowledgements
The authors are grateful to ChemSolvers Research and Computational Laboratory Studio, Owerri, Nigeria, for assisting in the in silico studies.
Notes
The authors declare no conflict of interest regarding the publication of this manuscript.
CRediT author statement
CED: Conceptualization, Data curation, Supervision, Methodology, Software HIU: Conceptualization, Supervision, Methodology, Data curation, Software. IAD: Visualization, Investigation. UEE: Visualization, Investigation. LCN: Original draft preparation, Writing- Reviewing and Editing. CEE: Original draft preparation, Writing- Reviewing and Editing.