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Identification of promising SARS-CoV-2 main protease inhibitor through molecular docking, dynamics simulation, and ADMET analysis
by
Kumar, Neeraj
, Rolim Silva, Gabriel Vinícius
, Tiruneh, Yewulsew Kebede
, Nobre Oliveira, Jonas Ivan
, Alqahtani, Taha
, Zaki, Magdi E. A.
, de Lima Menezes, Gabriela
, Sharma, Chandra Shekhar
, Sultana, Sharifa
, Sharma, Ganesh
in
3CLpro
/ 631/114
/ 631/57
/ Absorption
/ Antiviral Agents - chemistry
/ Antiviral Agents - pharmacokinetics
/ Antiviral Agents - pharmacology
/ Antiviral drugs
/ Bioavailability
/ Coronavirus 3C Proteases - antagonists & inhibitors
/ Coronavirus 3C Proteases - chemistry
/ Coronavirus 3C Proteases - metabolism
/ COVID-19
/ COVID-19 - virology
/ COVID-19 Drug Treatment
/ Drug metabolism
/ Free energy
/ Global health
/ Humanities and Social Sciences
/ Humans
/ Hydrogen bonding
/ Hydrogen bonds
/ Intestinal absorption
/ Molecular Docking
/ Molecular Docking Simulation
/ Molecular dynamics
/ Molecular Dynamics Simulation
/ Molecular dynamics, ADMET
/ Molecular weight
/ Mpro
/ multidisciplinary
/ Pandemics
/ Peptide mapping
/ Pharmacokinetics
/ Physicochemical properties
/ Protease Inhibitors - chemistry
/ Protease Inhibitors - pharmacokinetics
/ Protease Inhibitors - pharmacology
/ Proteinase inhibitors
/ Public health
/ Safety
/ SARS-CoV-2
/ SARS-CoV-2 - drug effects
/ SARS-CoV-2 - enzymology
/ Science
/ Science (multidisciplinary)
/ Severe acute respiratory syndrome coronavirus 2
/ Sulfur
/ Toxicity
2025
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Identification of promising SARS-CoV-2 main protease inhibitor through molecular docking, dynamics simulation, and ADMET analysis
by
Kumar, Neeraj
, Rolim Silva, Gabriel Vinícius
, Tiruneh, Yewulsew Kebede
, Nobre Oliveira, Jonas Ivan
, Alqahtani, Taha
, Zaki, Magdi E. A.
, de Lima Menezes, Gabriela
, Sharma, Chandra Shekhar
, Sultana, Sharifa
, Sharma, Ganesh
in
3CLpro
/ 631/114
/ 631/57
/ Absorption
/ Antiviral Agents - chemistry
/ Antiviral Agents - pharmacokinetics
/ Antiviral Agents - pharmacology
/ Antiviral drugs
/ Bioavailability
/ Coronavirus 3C Proteases - antagonists & inhibitors
/ Coronavirus 3C Proteases - chemistry
/ Coronavirus 3C Proteases - metabolism
/ COVID-19
/ COVID-19 - virology
/ COVID-19 Drug Treatment
/ Drug metabolism
/ Free energy
/ Global health
/ Humanities and Social Sciences
/ Humans
/ Hydrogen bonding
/ Hydrogen bonds
/ Intestinal absorption
/ Molecular Docking
/ Molecular Docking Simulation
/ Molecular dynamics
/ Molecular Dynamics Simulation
/ Molecular dynamics, ADMET
/ Molecular weight
/ Mpro
/ multidisciplinary
/ Pandemics
/ Peptide mapping
/ Pharmacokinetics
/ Physicochemical properties
/ Protease Inhibitors - chemistry
/ Protease Inhibitors - pharmacokinetics
/ Protease Inhibitors - pharmacology
/ Proteinase inhibitors
/ Public health
/ Safety
/ SARS-CoV-2
/ SARS-CoV-2 - drug effects
/ SARS-CoV-2 - enzymology
/ Science
/ Science (multidisciplinary)
/ Severe acute respiratory syndrome coronavirus 2
/ Sulfur
/ Toxicity
2025
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Identification of promising SARS-CoV-2 main protease inhibitor through molecular docking, dynamics simulation, and ADMET analysis
by
Kumar, Neeraj
, Rolim Silva, Gabriel Vinícius
, Tiruneh, Yewulsew Kebede
, Nobre Oliveira, Jonas Ivan
, Alqahtani, Taha
, Zaki, Magdi E. A.
, de Lima Menezes, Gabriela
, Sharma, Chandra Shekhar
, Sultana, Sharifa
, Sharma, Ganesh
in
3CLpro
/ 631/114
/ 631/57
/ Absorption
/ Antiviral Agents - chemistry
/ Antiviral Agents - pharmacokinetics
/ Antiviral Agents - pharmacology
/ Antiviral drugs
/ Bioavailability
/ Coronavirus 3C Proteases - antagonists & inhibitors
/ Coronavirus 3C Proteases - chemistry
/ Coronavirus 3C Proteases - metabolism
/ COVID-19
/ COVID-19 - virology
/ COVID-19 Drug Treatment
/ Drug metabolism
/ Free energy
/ Global health
/ Humanities and Social Sciences
/ Humans
/ Hydrogen bonding
/ Hydrogen bonds
/ Intestinal absorption
/ Molecular Docking
/ Molecular Docking Simulation
/ Molecular dynamics
/ Molecular Dynamics Simulation
/ Molecular dynamics, ADMET
/ Molecular weight
/ Mpro
/ multidisciplinary
/ Pandemics
/ Peptide mapping
/ Pharmacokinetics
/ Physicochemical properties
/ Protease Inhibitors - chemistry
/ Protease Inhibitors - pharmacokinetics
/ Protease Inhibitors - pharmacology
/ Proteinase inhibitors
/ Public health
/ Safety
/ SARS-CoV-2
/ SARS-CoV-2 - drug effects
/ SARS-CoV-2 - enzymology
/ Science
/ Science (multidisciplinary)
/ Severe acute respiratory syndrome coronavirus 2
/ Sulfur
/ Toxicity
2025
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Identification of promising SARS-CoV-2 main protease inhibitor through molecular docking, dynamics simulation, and ADMET analysis
Journal Article
Identification of promising SARS-CoV-2 main protease inhibitor through molecular docking, dynamics simulation, and ADMET analysis
2025
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Overview
The COVID-19 pandemic caused by SARS-CoV-2 continues to pose a major challenge to global health. Targeting the main protease of the virus (Mpro), which is essential for viral replication and transcription, offers a promising approach for therapeutic intervention. In this study, advanced computational techniques such as molecular docking and molecular dynamics simulations were used to screen a series of antiviral compounds for their potential inhibitory effect on the SARS-CoV-2 Mpro. A comprehensive analysis of compounds from the ChemDiv and PubChem databases was performed. The physicochemical properties, pharmacokinetics, and ADMET (Absorption, Distribution, Metabolism, Excretion, and Toxicity) profiles were evaluated to determine drug similarity and safety. Compound 4896 − 4038 proved to be the most promising candidate. It exhibited a favorable balance between molecular weight (491.06) and lipophilicity (logP 3.957), high intestinal absorption (92.119%), and broad tissue distribution (VDss of 0.529), indicating good oral bioavailability and therapeutic potential. Molecular docking studies showed that 4896 − 4038 has a strong binding affinity to the active site of Mpro and forms key interactions, such as hydrogen bonds, carbon-hydrogen bonds, pi-sulfur, and multiple van der Waals and pi-pi stacked bonds. The binding energy was comparable to that of the reference drug X77, indicating potential efficacy. Molecular dynamics simulations over 300 ns confirmed the stability of the Mpro/4896 − 4038 complex of protein-ligand. Free energy landscape mapping and MM/PBSA calculations further substantiated the favorable binding and stability of the complex. Importantly, 4896 − 4038 exhibited a comparatively favorable safety profile. In summary, compound 4896 − 4038 shows significant potential as a potent SARS-CoV-2 Mpro inhibitor, combining potent inhibitory activity with favorable pharmacokinetic and safety profiles. These results support the further development of 4896 − 4038 as a promising therapeutic agent in the fight against COVID-19 that warrants experimental validation and clinical investigation.
Publisher
Nature Publishing Group UK,Nature Publishing Group,Nature Portfolio
Subject
/ 631/114
/ 631/57
/ Antiviral Agents - chemistry
/ Antiviral Agents - pharmacokinetics
/ Antiviral Agents - pharmacology
/ Coronavirus 3C Proteases - antagonists & inhibitors
/ Coronavirus 3C Proteases - chemistry
/ Coronavirus 3C Proteases - metabolism
/ COVID-19
/ Humanities and Social Sciences
/ Humans
/ Molecular Docking Simulation
/ Molecular Dynamics Simulation
/ Mpro
/ Protease Inhibitors - chemistry
/ Protease Inhibitors - pharmacokinetics
/ Protease Inhibitors - pharmacology
/ Safety
/ Science
/ Severe acute respiratory syndrome coronavirus 2
/ Sulfur
/ Toxicity
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