Literature DB >> 33011363

Novel cyclohexanone compound as a potential ligand against SARS-CoV-2 main-protease.

Soumya Basu1, Balaji Veeraraghavan2, Sudha Ramaiah3, Anand Anbarasu4.   

Abstract

No commercially available drug candidate has yet been devised which is unique to and not repurposed against SARS-CoV-2 and has high efficacy or safe toxicity profile or both. Taking curcumin as a reference compound, we identified a new commercially available cyclohexanone compound, ZINC07333416 with binding energy (-8.72 kcal/mol) better than that of popularly devised anti-Covid-19 drugs like viral protease inhibitor Lopinavir, nucleoside analogue Remdesivir and the repurposed drug hydroxychloroquine when targeted to the active-site of SARS-CoV-2 Main protease (Mpro) through docking studies. The ligand ZINC07333416 exhibits crucial interactions with major active site residues of SARS-CoV-2 Mpro viz. Cys145 and His41 involving in the protease activity; as well as GLU-166 and ASN-142 which plays the pivotal role in the protein-dimerization. The protein-ligand stable interaction was further confirmed with molecular dynamics simulation (MDS) studies. Based on virtual assessment, ZINC07333416 also have significant values in terms of medicinal chemistry, pharmacokinetics, synthetic accessibility and anti-viral activity that encourage its experimental applications against COVID-19.
Copyright © 2020 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Anti-viral activity; Docking; Molecular dynamics simulation; Pharmacokinetics; SARS-CoV-2 mpro

Year:  2020        PMID: 33011363      PMCID: PMC7527826          DOI: 10.1016/j.micpath.2020.104546

Source DB:  PubMed          Journal:  Microb Pathog        ISSN: 0882-4010            Impact factor:   3.738


The novel coronavirus SARS-CoV-2, etiological agent of COVID-19 have engendered a pandemic with higher morbidity and mortality rates. Millions of registered victims and several hundred thousand deaths have been reported worldwide due to COVID-19 [1]. Although many compounds have been advised and tested against COVID-19, most of them were either repurposed drugs or they lacked efficacy or lacked safe toxicity profile or all of them [2,3]. Drug repurposing against a pandemic may result in sudden crisis of an essential drug; it may also not provide a long term efficacy or may result in unfavourable off-site interactions [3]. In our present study, we have focused on the identification of a novel compound targeted to SARS-CoV-2 main protease (Mpro) since, protease inhibitor drugs have shown improved outcome in COVID-19 victims [3]. We also objectified on comparing the same with popular drugs devised against COVID-19 [[3], [4], [5]] in terms of interaction, toxicity profiles and drug properties in-silico. Curcumin was chosen in our study as a reference to screen analogous compounds since it has anti-viral activity and a safe toxicity profile [6,7]. The three-dimensional (3D) structure of SARS-COV-2 Mpro (6LU7) was retrieved from RCSB-protein databank and all ligands (drugs/compounds) were obtained from PubChem database. The 3D formatting of ligands was performed using Openbabel tool [8]. 400 commercially available curcumin analogues were identified through SwissSimilarity server based on their stereochemistry, structural alignment and pharmacophore model [9]. Screened compounds (similarity scores with curcumin > 0.7) and known reference compounds were docked onto SARS-COV-2 Mpro using AutoDock version 4.2 [10]. Prior to the docking analysis, structure of the target protein was optimized by removing crystallographic water molecules and unwanted hetero-atoms or other bound ligands. Polar hydrogens were added and non-polar hydrogens were merged thereafter to the protein in ideal geometry. Requisite Kollman charges (4.0) were added to the protein to finally stabilize its structure. The torsions were fixed for the ligands. The initial parameters and van der Waals well depth of 0.100 kcal/mol was assigned for the protein. The important active site residue His41 [11] was centred to construct affinity grid-box of 60 Å3. Lamarckian Genetic Algorithm was employed to generate SARS-COV-2 Mpro-ligand complexes in 10 different poses. Based on best poses and lowest of binding energies we identified the phenolic compound ZINC07333416 having a 2, 6 di-methylene-cyclohexanone group Fig. 1 a. The binding energy of our lead compound ZINC07333416 (−8.72 kcal/mol) is better than that of our reference compound Curcumin (−6.9 kcal/mol), tested viral protease inhibitor Lopinavir [2] (−8.29 kcal/mol), newly identified Lopinavir analogue ZINC541677852 [3] (−7.72 kcal/mol), popular anti-viral nucleoside analogue Remdesivir [5] (−6.18 kcal/mol) and the repurposed drug hydroxychloroquine [4] (−6.36 kcal/mol) when targeted to the active-site of SARS-COV-2 Mpro (Table 1).
Fig. 1

Interaction of lead compound with SARS-CoV-2 Mpro. a. The chemical structure of our lead compound ZINC07333416. b. Lead bound within the active site binding pocket of SARS-COV-2 Mpro. c. ZINC07333416 exhibiting interaction with crucial active-site residues responsible for structural and functional integrity of the protease.

Table 1

Binding energies of our lead compound ZINC07333416 as compared to other studied compounds.

ProteinLigandsBinding energy (kcal/mol)
SARS CoV2 (2019-nCoV) Mpro Lead compound (Commercially available Curcumin analogue) ZINC07333416−8.72
 Newly addressed compounds Hydroxychloroquine−6.36
 ZINC541677852−7.72
 Curcumin (reference compound)−6.90
 Popular antiviral drugs devised Remdesivir (nucleoside analogue)−6.18
 Lopinavir (viral protease inhibitor)−8.29
Interaction of lead compound with SARS-CoV-2 Mpro. a. The chemical structure of our lead compound ZINC07333416. b. Lead bound within the active site binding pocket of SARS-COV-2 Mpro. c. ZINC07333416 exhibiting interaction with crucial active-site residues responsible for structural and functional integrity of the protease. Binding energies of our lead compound ZINC07333416 as compared to other studied compounds. Fig. 1 c. shows the ligand ZINC07333416 exhibiting Pi-alkyl interactions with both of the crucial active site residues Cys145 and His41 that plays the major role in the protease activity [11]. Conventional hydrogen bond was found with active site residues ASP-187 and TYR-54. The ligand also exhibits van der Waals interaction with GLU-166 and ASN-142 which plays the pivotal role in dimerization [11] of the protein. Hence, ZINC07333416 can efficiently bind to the active site of the SARS-COV-2 Mpro by specifically interacting with residues responsible for structural and functional integrity of the protease. AVCpred server was employed to predict the general antiviral potential of our lead as well as reference compounds (see Table 2). The prediction uses integrated Quantitative-Structure-Activity-Relationship (QSAR) and best-performing molecular descriptor based screening-algorithm against 30 known viral pathogens including SARS coronavirus, Human Immunodeficiency Virus (HIV), Respiratory Syncytial Virus etc. [12] The general anti-viral activity of ZINC07333416 was found to be 41.95%, which is not only higher than that of hydroxychloroquine (37.74%) and curcumin (20.18%) but also higher than other commercially available curcumin analogues (similarity score > 0.7) (Supplementary file). The drug-likeliness, pharmacokinetics and medicinal chemistry of ZINC07333416 predicted by SwissADME server [13] shows significantly low values of logP (3.11), polar surface area (46.53) and synthetic accessibility (2.83) (Table 2 ). These values depict the favourable bioavailability, cellular permeability, renal clearance and ease to make properties of ZINC07333416 respectively [14,15]. High capabilities of gastrointestinal absorption (signifying oral administration possibilities) and blood-brain barrier permeation of ZINC07333416 were also predicted as compared to popular anti-viral drugs (Supplementary file).
Table 2

Important medicinal, toxicity and antiviral properties of studied compounds (TPSA = total polar surface area; GI = gastro-intestinal; BBB = blood brain barrier).

CompoundsMolecular weightmlogPTPSADrug likeli-ness viola-tionsLead likeli-ness viola-tionsGI absorptionBBB permeationSynthetic access-ibility Score [Scale: 1 (very easy) to 10 (difficult)]LD50 (mg/kg)Anti-viral activity (%)
ZINC07333416320.383.1146.53No1HighYes2.83230041.95
Hydroxy-chloroquine335.872.3548.39No2HighYes2.82124037.74
ZINC541677852394.392.9276.02No1HighYes3.60100072.54
Curcumin368.381.4793.07No2HighNo2.97200020.18
Remdesivir602.592.82203.57Yes2LowNo6.331000Proven
Lopinavir628.802.93120.00Yes3HighNo5.675000Proven
Important medicinal, toxicity and antiviral properties of studied compounds (TPSA = total polar surface area; GI = gastro-intestinal; BBB = blood brain barrier). ProtoxII server [16] showed a higher LD50 value of ZINC07333416 (2300 mg/kg) designating its fairly non-toxic nature as compared to ZINC541677852 (1000 mg/kg) and hydroxychloroquine (1240 mg/kg) (Table 2). No carcinogenicity and/or mutagenicity were predicted by ProtoxII for ZINC07333416 as compared to hydroxychloroquine or other tested anti-viral compounds (not shown). Molecular dynamics simulation (MDS) study was employed to assess the interaction-dynamics of protein-ligand complex at an atomic level as a function of time. GROMACS 5.0.2 package with GROMOS9643a1 force-field was used. Ligand topology was built with ProDRG 2.5 server. The protein-ligand complex was placed in the centre of a cubic box with a uniform edge-distance of 1.2 nm. The sample was solvated with simple-point-charge water model followed by neutralizing the system by adding requisite counter ions (Na or Cl). Energy minimization was thereafter performed with 50,000 steps and 1000 kJ/mol nm−1 convergence-tolerance using steepest descent algorithm. The system was equilibrated with standard NVT (constant number of particles, volume and temperature) and NPT (constant number of particles, pressure and temperature) ensembles for 150 ps Particle-Mesh Ewald electrostatics (PME) summation was used for treating long-range electrostatic interactions with an order of 4.0 and Fourier spacing of 0.16 nm. Finally, production MD was performed for 50 ns timescale. From the root mean square deviation (RMSD) graphs, it was observed that for target protein Fig. 2 (A) the trajectory attained equilibrium beyond 10ns with a mean value around 0.25 nm. RMSD of ligand ZINC07333416 Fig. 2 (B) was almost stable throughout the course of simulation with a mean value around 0.25 nm. The similar mean values are an indicative of minimum relative variation of ligand position than that of the protein, thereby ascertaining the stability of ligand-protein binding pose.
Fig. 2

(A) RMSD trajectory of SARS CoV-2 Mpro. (B) RMSD trajectory of ligand ZINC07333416. (C) Rg pattern of the protein-ligand complex during MDS. (D) SASA to evaluate stability of hydrophobic core of the complex backbone. (E) H-bond observed during MDS. (F) RMSF pattern of target protein during simulation.

(A) RMSD trajectory of SARS CoV-2 Mpro. (B) RMSD trajectory of ligand ZINC07333416. (C) Rg pattern of the protein-ligand complex during MDS. (D) SASA to evaluate stability of hydrophobic core of the complex backbone. (E) H-bond observed during MDS. (F) RMSF pattern of target protein during simulation. The low average value (2.05 nm) and stable trajectory of Radius of gyration (Rg) Fig. 2 (C) ensured the compactness of the protein-ligand complex during MDS. Similarly, a stable solvent accessible surface area (SASA) of 135–140 nm2 Fig. 2 (D) revealed the compactness of the hydrophobic core and hence the stable conformational geometry of the protein-ligand complex during MDS. Although our target protein and ligand tried to interact with three to five hydrogen bonds during the course of simulation, only two hydrogen bonds were found to be consistent throughout the simulation Fig. 2 (E) which is perfectly in sync with our docking results. The root mean square fluctuation (RMSF) was used to evaluate the amount of positional fluctuation of each residue of the protein-ligand backbone during MDS. It was observed that our RMSF values lie between 0.05 and 0.4 nm with an approximate average of 0.2 nm and minimum fluctuations of the crucial active-site residues Fig. 2 (F). The DSSP (Define Secondary Structure of Proteins) model further ensured the stability of the protein structure during simulation by ascertaining the changes in secondary structures. The study revealed that stable secondary structural conformation of our target protein with bound ligand was maintained throughout the simulation with respect to all structural patterns (helices, loops, bends etc.) Fig. 3 .[[17], [18], [19]].
Fig. 3

Structural analysis by DSSP algorithm showing stable secondary structural conformation during 50 ns timescale.

Structural analysis by DSSP algorithm showing stable secondary structural conformation during 50 ns timescale. Therefore, we identified a new and commercially available compound having favourable drug-likeliness, lead-likeliness and synthetic accessibility. The identified compound showed stable molecular interactions when targeted to the active-site of SARS CoV-2 Mpro. It has no experimental or clinical report so far and hence can be uniquely addressed to COVID-19 to overcome the drawbacks with repurposed drugs. Furthermore, the anti-viral activity, medicinal chemistry and toxicity profiles of our lead compound are encouraging as compared to known/tested compounds and hence can be optimistically used for experimental trials against COVID-19.

Declaration of competing interest

The authors declare that there is no conflict of interest.
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