Discover the Medication Potential of Algerian Medicinal Plants Against Sars-Cov-2 Main Protease (Mpro): Molecular Docking, Molecular Dynamic Simulation, and ADMET Analysis (original) (raw)
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Journal of Biomolecular Structure and Dynamics
Newly emerged SARS-CoV-2 made recent pandemic situations across the globe is accountable for countless unwanted death and insufferable panic associated with co-morbidities among mass people. The scarcity of appropriate medical treatment and no effective vaccine or medicine against SARS-CoV-2 has turned the situation worst. Therefore, in this study, we made a deep literature review to enlist plant-derived natural compounds and considered their binding mechanism with the main protease of SARS-CoV-2 through combinatorial bioinformatics approaches. Among all, a total of 14 compounds were filtered where Carinol, Albanin, Myricetin were had better binding profile than the rest of the compounds with having binding energy of-8.476,-8.036,-8.439 kcal/mol, respectively. Furthermore, MM-GBSA calculations were also considered in this selection process to support docking studies. Besides, 100 ns molecular dynamics simulation endorsed the rigid nature, less conformational variation and binding stiffness. As this study, represents a perfect model for SARS-CoV-2 main protease inhibition through bioinformatics study, these potential drug candidates may assist the researchers to find a superior and effective solution against COVID-19 after future experiments.
Scientific Reports, 2021
Novel SARS-CoV-2, an etiological factor of Coronavirus disease 2019 (COVID-19), poses a great challenge to the public health care system. Among other druggable targets of SARS-Cov-2, the main protease (Mpro) is regarded as a prominent enzyme target for drug developments owing to its crucial role in virus replication and transcription. We pursued a computational investigation to identify Mpro inhibitors from a compiled library of natural compounds with proven antiviral activities using a hierarchical workflow of molecular docking, ADMET assessment, dynamic simulations and binding free-energy calculations. Five natural compounds, Withanosides V and VI, Racemosides A and B, and Shatavarin IX, obtained better binding affinity and attained stable interactions with Mpro key pocket residues. These intermolecular key interactions were also retained profoundly in the simulation trajectory of 100 ns time scale indicating tight receptor binding. Free energy calculations prioritized Withanoside...
Journal of Advanced Biotechnology and Experimental Therapeutics, 2020
ABSTRACT: Coronaviruses are endemic in humans and infections typically mild, such as the common cold. Still, the cross-species transmission has produced some unusually virulent strains which now causing viral pneumonia, in severe cases, even acute respiratory distress syndrome and death. SARS-CoV-2 is the most threatening issue which leads the world to an uncertainty alongside thousands of regular death scenes. An effective vaccine to cure this virus is not yet available, so it requires concerted efforts at various scales. The viral Main Protease controls coronavirus replication and is a proven drug discovery target for SARS-CoV-2. Comprehensive computational study e.g., molecular docking and ADMET (absorption, distribution, metabolism and excretion) profiling were employed to predict the efficacy of medicinal plant-based bioactive compounds against SARS-CoV-2 MPP. Paritaprevir and lopinavir-previously approved viral main protease inhibitors were used as standards for comparison. MPP was docked with 90 phytochemical compounds, and the screening revealed that four compounds (azadirachtin,-12.5 kcal/mol; rutin,-9 kcal/mol; theaflavin,-9 kcal/mol; astragalin,-8.8 kcal/mol) showed the highest binding affinity than the controls paritaprevir and lopinavir (-8.7 and-7.9 kcal/mol, respectively). Comparative structural analysis of protein-inhibitor complexes revealed that the compounds have intense interaction with the vital catalytic residue His-41 and Cys-145. Furthermore, the pharmaco-kinetics and drug-likeness properties of the antiviral phytochemicals suggested that the compounds do not have any considerable detrimental effects and can be considered potential drug candidates against SARS-CoV-2. These compounds can be further explored for in vitro experimental validation against SARS-CoV-2.
One of the main reasons of rapidly growing cases of COVID-19 pandemic is the unavailability of approved therapeutic agents. Therefore, it is urgently required to find out the best drug by all means. Aim of the current study is to test the anti-viral drug potential of many of the available olive and turmeric compounds that can be used as potential inhibitors against one of the target proteins of SARS-nCoV2 named Main protease (Mpro/3CLpro). Molecular docking of thirty olive and turmeric compounds with target protein was performed using Molecular Operating Environment (MOE) software, out of these 19 ligands were selected for redocking using PyRx to validate MOE results and to determine the best ligand-protein interaction energies. Molecular dynamics simulation was performed on best 7 docked complexes by NAMD/VMD to determine the stability of the ligand-protein complex. Out of the thirty drug agents, 6 ligands do not follow the Lipinski rule of drug likeliness by violating two or more ...
Journal of Biomolecular Structure and Dynamics
The study aims to evaluate the potency of two hundred natural antiviral phytocompounds against the active site of the Severe Acquired Respiratory Syndrome-Coronavirus À 2 (SARS-CoV-2) Main-Protease (M pro) using AutoDock 4.2.6. The three-dimensional crystal structure of the M pro (PDB Id: 6LU7) was retrieved from the Protein Data Bank (PDB), the active site was predicted using MetaPocket 2.0. Food and Drug Administration (FDA) approved viral protease inhibitors were used as standards for comparison of results. The compounds theaflavin-3-3'-digallate, rutin, hypericin, robustaflavone, and (-)-solenolide A with respective binding energy of À12.41 (Ki ¼ 794.96 pM); À11.33 (Ki ¼ 4.98 nM); À11.17 (Ki ¼ 6.54 nM); À10.92 (Ki ¼ 9.85 nM); and À10.82 kcal/mol (Ki ¼ 11.88 nM) were ranked top as Coronavirus Disease À 2019 (COVID-19) M pro inhibitors. The interacting amino acid residues were visualized using Discovery Studio 3.5 to elucidate the 2-dimensional and 3-dimensional interactions. The study was validated by i) re-docking the N3-peptide inhibitor-M pro and superimposing them onto co-crystallized complex and ii) docking decoy ligands to M pro. The ligands that showed low binding energy were further predicted for and pharmacokinetic properties and Lipinski's rule of 5 and the results are tabulated and discussed. Molecular dynamics simulations were performed for 50 ns for those compounds using the Desmond package, Schr€ odinger to assess the conformational stability and fluctuations of protein-ligand complexes during the simulation. Thus, the natural compounds could act as a lead for the COVID-19 regimen after in-vitro and in-vivo clinical trials.
Molecular Diversity
The Coronavirus disease 2019 (COVID-19), caused by the novel coronavirus, SARS-CoV-2, has recently emerged as a pandemic. Here, an attempt has been made through in-silico high throughput screening to explore the antiviral compounds from traditionally used plants for antiviral treatments in India namely, Tea, Neem and Turmeric, as potential inhibitors of two widely studied viral proteases, main protease (Mpro) and papain-like protease (PLpro) of the SARS-CoV-2. Molecular docking study using BIOVIA Discovery Studio 2018 revealed, (−)-epicatechin-3-O-gallate (ECG), a tea polyphenol has a binding affinity toward both the selected receptors, with the lowest CDocker energy − 46.22 kcal mol −1 for SARS-CoV-2 Mpro and CDocker energy − 44.72 kcal mol −1 for SARS-CoV-2 PLpro, respectively. The SARS-CoV-2 Mpro complexed with (−)-epicatechin-3-O-gallate, which had shown the best binding affinity was subjected to molecular dynamics simulations to validate its binding affinity, during which, the root-mean-square-deviation values of SARS-CoV-2 Mpro-Co-crystal ligand (N3) and SARS-CoV-2 Mpro-(−)-epicatechin-3-O-gallate systems were found to be more stable than SARS-CoV-2 Mpro system. Further, (−)-epicatechin-3-O-gallate was subjected to QSAR analysis which predicted IC 50 of 0.3281 nM against Bhaskarjyoti Gogoi and Purvita Chowdhury contributed equally.