Molecular docking, pharmacophore modelling, MD simulation and in silico ADMET study reveals bitter cola constituents as potential inhibitors of SARS-CoV-2 main protease and RNA dependent-RNA polymerase

2022 ◽  
pp. 1-16
Author(s):  
Abimbola Peter Oluyori ◽  
Bolatito Eunice Olanipekun ◽  
Oluyomi Stephen Adeyemi ◽  
Godshelp Osas Egharevba ◽  
Abayomi Emmanuel Adegboyega ◽  
...  
Keyword(s):  
Molecular Docking ◽  
Rna Polymerase ◽  
In Silico ◽  
Md Simulation ◽  
Rna Dependent Rna Polymerase ◽  
Pharmacophore Modelling ◽  
Main Protease ◽  
In Silico Admet ◽  
Potential Inhibitors

In Silico Molecular Docking and Molecular Dynamic Simulation of Potential Inhibitors of 3C-like Main Proteinase (3CLpro) from Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2) Using Selected African Medicinal Plants

2020 ◽  
Author(s):  
Sahar Qazi ◽  
Mustafa Alhaji Isa ◽  
Adam Mustapha ◽  
Khalid Raza ◽  
Ibrahim Alkali Allamin ◽  
...  
Keyword(s):  
Molecular Docking ◽  
Severe Acute Respiratory Syndrome ◽  
In Silico ◽  
Md Simulation ◽  
Binding Energies ◽  
Anacardium Occidentale ◽  
Upper Respiratory Tract ◽  
Ligand Complex ◽  
In Silico Docking ◽  
Main Protease

<p>The Severe Acute Respiratory Syndrome 2 (SARS-CoV-2) is an infectious virus that causes mild to severe life-threatening upper respiratory tract infection. The virus emerged in Wuhan, China in 2019, and later spread across the globe. Its genome has been completely sequenced and based on the genomic information, the virus possessed 3C-Like Main Protease (3CLpro), an essential multifunctional enzyme that plays a vital role in the replication and transcription of the virus by cleaving polyprotein at eleven various sites to produce different non-structural proteins. This makes the protein an important target for drug design and discovery. Herein, we analyzed the interaction between the 3CLpro and potential inhibitory compounds identified from the extracts of <i>Zingiber offinale</i> and <i>Anacardium occidentale</i> using in silico docking and Molecular Dynamics (MD) Simulation. The crystal structure of SARS-CoV-2 main protease in complex with 02J (5-Methylisoxazole-3-carboxylic acid) and PEJ (composite ligand) (PDB Code: 6LU7,2.16Å) retrieved from Protein Data Bank (PDB) and subject to structure optimization and energy minimization. A total of twenty-nine compounds were obtained from the extracts of <i>Zingiber offinale </i>and the leaves of <i>Anacardium occidentale. </i>These compounds were screened for physicochemical (Lipinski rule of five, Veber rule, and Egan filter), <i>Pan</i>-Assay Interference Structure (PAINS), and pharmacokinetic properties to determine the Pharmaceutical Active Ingredients (PAIs). Of the 29 compounds, only nineteen (19) possessed drug-likeness properties with efficient oral bioavailability and less toxicity. These compounds subjected to molecular docking analysis to determine their binding energies with the 3CLpro. The result of the analysis indicated that the free binding energies of the compounds ranged between ˗5.08 and -10.24kcal/mol, better than the binding energies of 02j (-4.10kcal/mol) and PJE (-5.07kcal.mol). Six compounds (CID_99615 = -10.24kcal/mol, CID_3981360 = 9.75kcal/mol, CID_9910474 = -9.14kcal/mol, CID_11697907 = -9.10kcal/mol, CID_10503282 = -9.09kcal/mol and CID_620012 = -8.53kcal/mol) with good binding energies further selected and subjected to MD Simulation to determine the stability of the protein-ligand complex. The results of the analysis indicated that all the ligands form stable complexes with the protein, although, CID_9910474 and CID_10503282 had a better stability when compared to other selected phytochemicals (CID_99615, CID_3981360, CID_620012, and CID_11697907). </p>

In Silico Molecular Docking and Molecular Dynamic Simulation of Potential Inhibitors of 3C-like Main Proteinase (3CLpro) from Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2) Using Selected African Medicinal Plants

2020 ◽  
Author(s):  
Sahar Qazi ◽  
Mustafa Alhaji Isa ◽  
Adam Mustapha ◽  
Khalid Raza ◽  
Ibrahim Alkali Allamin ◽  
...  
Keyword(s):  
Molecular Docking ◽  
Severe Acute Respiratory Syndrome ◽  
In Silico ◽  
Md Simulation ◽  
Binding Energies ◽  
Anacardium Occidentale ◽  
Upper Respiratory Tract ◽  
Ligand Complex ◽  
In Silico Docking ◽  
Main Protease

<p>The Severe Acute Respiratory Syndrome 2 (SARS-CoV-2) is an infectious virus that causes mild to severe life-threatening upper respiratory tract infection. The virus emerged in Wuhan, China in 2019, and later spread across the globe. Its genome has been completely sequenced and based on the genomic information, the virus possessed 3C-Like Main Protease (3CLpro), an essential multifunctional enzyme that plays a vital role in the replication and transcription of the virus by cleaving polyprotein at eleven various sites to produce different non-structural proteins. This makes the protein an important target for drug design and discovery. Herein, we analyzed the interaction between the 3CLpro and potential inhibitory compounds identified from the extracts of <i>Zingiber offinale</i> and <i>Anacardium occidentale</i> using in silico docking and Molecular Dynamics (MD) Simulation. The crystal structure of SARS-CoV-2 main protease in complex with 02J (5-Methylisoxazole-3-carboxylic acid) and PEJ (composite ligand) (PDB Code: 6LU7,2.16Å) retrieved from Protein Data Bank (PDB) and subject to structure optimization and energy minimization. A total of twenty-nine compounds were obtained from the extracts of <i>Zingiber offinale </i>and the leaves of <i>Anacardium occidentale. </i>These compounds were screened for physicochemical (Lipinski rule of five, Veber rule, and Egan filter), <i>Pan</i>-Assay Interference Structure (PAINS), and pharmacokinetic properties to determine the Pharmaceutical Active Ingredients (PAIs). Of the 29 compounds, only nineteen (19) possessed drug-likeness properties with efficient oral bioavailability and less toxicity. These compounds subjected to molecular docking analysis to determine their binding energies with the 3CLpro. The result of the analysis indicated that the free binding energies of the compounds ranged between ˗5.08 and -10.24kcal/mol, better than the binding energies of 02j (-4.10kcal/mol) and PJE (-5.07kcal.mol). Six compounds (CID_99615 = -10.24kcal/mol, CID_3981360 = 9.75kcal/mol, CID_9910474 = -9.14kcal/mol, CID_11697907 = -9.10kcal/mol, CID_10503282 = -9.09kcal/mol and CID_620012 = -8.53kcal/mol) with good binding energies further selected and subjected to MD Simulation to determine the stability of the protein-ligand complex. The results of the analysis indicated that all the ligands form stable complexes with the protein, although, CID_9910474 and CID_10503282 had a better stability when compared to other selected phytochemicals (CID_99615, CID_3981360, CID_620012, and CID_11697907). </p>

Virtual Screening, Molecular docking and in-silico ADME-Tox analysis for identification of potential main protease (Mpro) enzyme inhibitors

2020 ◽  
Vol 18 ◽  
Author(s):  
Debadash Panigrahi ◽  
Ganesh Prasad Mishra
Keyword(s):  
Molecular Docking ◽  
Virtual Screening ◽  
In Silico ◽  
Data Bank ◽  
Future Research ◽  
Reference Compound ◽  
Unexpected Death ◽  
Main Protease ◽  
In Silico Admet

Objective:: Recent pandemic caused by SARS-CoV-2 described in Wuhan China in December-2019 spread widely almost all the countries of the world. Corona virus (COVID-19) is causing the unexpected death of many peoples and severe economic loss in several countries. Virtual screening based on molecular docking, drug-likeness prediction, and in silico ADMET study has become an effective tool for the identification of small molecules as novel antiviral drugs to treat diseases. Methods:: In the current study, virtual screening was performed through molecular docking for identifying potent inhibitors against Mpro enzyme from the ZINC library for the possible treatment of COVID-19 pandemic. Interestingly, some compounds are identified as possible anti-covid-19 agents for future research. 350 compounds were screened based on their similarity score with reference compound X77 from ZINC data bank and were subjected to docking with crystal structure available of Mpro enzyme. These compounds were then filtered by their in silico ADME-Tox and drug-likeness prediction values. Result:: Out of these 350 screened compounds, 10 compounds were selected based on their docking score and best docked pose in comparison to the reference compound X77. In silico ADME-Tox and drug likeliness predictions of the top compounds were performed and found to be excellent results. All the 10 screened compounds showed significant binding pose with the target enzyme main protease (Mpro) enzyme and satisfactory pharmacokinetic and toxicological properties. Conclusion:: Based on results we can suggest that the identified compounds may be considered for therapeutic development against the COVID-19 virus and can be further evaluated for in vitro activity, preclinical, clinical studies and formulated in a suitable dosage form to maximize their bioavailability.

Screening of Kabasura Kudineer Chooranam against COVID-19 through Targeting of Main Protease and RNA-Dependent RNA Polymerase of SARS-CoV-2 by Molecular Docking Studies

2020 ◽  
Vol 5 (4) ◽  
pp. 319-331
Author(s):  
K. Gopalasatheeskumar ◽  
Karthikeyen Lakshmanan ◽  
Anguraj Moulishankar ◽  
Jerad Suresh ◽  
D. Kumuthaveni Babu ◽  
...  
Keyword(s):  
Molecular Docking ◽  
Rna Polymerase ◽  
Docking Studies ◽  
The Novel ◽  
Rna Dependent Rna Polymerase ◽  
Molecular Docking Studies ◽  
Main Protease ◽  
Short Span ◽  
Novel Coronavirus

COVID-19 is the infectious pandemic disease caused by the novel coronavirus. The COVID-19 is spread globally in a short span of time. The Ministry of AYUSH, India which promotes Siddha and other Indian system of medicine recommends the use of formulation like Nilavembu Kudineer and Kaba Sura Kudineer Chooranam (KSKC). The present work seeks to provide the evidence for the action of 74 different constituents of the KSKC formulation acting on two critical targets. That is main protease and SARS-CoV-2 RNAdependent RNA polymerase target through molecular docking studies. The molecular docking was done by using AutoDock Tools 1.5.6 of the 74 compounds, about 50 compounds yielded docking results against COVID-19 main protease while 42 compounds yielded against SARSCoV- 2 RNA-dependent RNA polymerase. This research has concluded that the KSKC has the lead molecules that inhibits COVID-19’s target of main protease of COVID-19 and SARS-CoV-2 RNA-dependent RNA polymerase.

scholarly journals Computational Studies Towards Identification of Lead Herbal Compounds of Medicinal Importance for Development of Nutraceutical Against COVID-19

2020 ◽  
Author(s):  
Amit Kumar Srivastav ◽  
Sanjeev Kumar Gupta ◽  
Umesh Kumar
Keyword(s):  
Molecular Docking ◽  
In Silico ◽  
Md Simulation ◽  
Low Cost ◽  
Computational Studies ◽  
Ramachandran Plot ◽  
Lead Compounds ◽  
Cryo Electron Microscopy ◽  
Main Protease ◽  
In Silico Study

In the present study, we have performed the in-silico study of SARS-CoV-2 structure with different herbal compounds of medicinal importance. We selected four <a>viral key proteins of SARS-CoV-2 </a>structure i.e ACE-2 Receptor, Main Protease (Mpro), APO Form, Cryo- electron microscopy structure for the Molecular docking followed by the molecular dynamic simulation. Using this simple in silico approach based on the molecular docking and <a>MD simulation </a>of protein and phytochemicals, we have identified potential lead candidates for the development of low cost nutraceuticals, which can be used against SARS-CoV-2 virus. Our analysis suggested that phytochemicals obtained from <i>Phyllanthus emblica</i> and <i>Azadirachta indica</i> have the highest potential to bind with ACE2 receptor or main protease of SARS-CoV-2, inhibiting the protease enzymatic activity. The lead compounds of herbal origin were docked and simulated on viral key proteins of SARS-CoV-2 structure to evaluate the binding affinity of these phytochemicals along with the type of interaction and its stability in terms of <a>RMSD</a> and <a>Ramachandran plot</a>. Further, these results were also verified by drug likeness properties by using SwissADME software. Overall, our results suggest that out of 14 herbal compounds, Nimbolide and Withaferin-A has great potential to be developed as low-cost nutraceuticals against SARS-CoV-2 virus, which is the need of hour.

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