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Effectivity of repurposed drugs against SARS-CoV-2 infections, A hope for COVID 19: inhibitor modelling studies by docking and molecular dynamics.

ABSTRACT: In the present study, we have done a comparative study on the efficacy of some currently used repurposed drugs: Oseltamivir (O), Favipiravir (F) and Hydroxychloroquine (H) in individual and in their combinational mode against CoV-2 infections. The ADME analysis has helped us to identify the inhibitory possibility of the tested drugs towards receptor 3CL^pro protein of SARS-CoV-2. Various thermodynamical parameters obtained from Molecular Docking, Molecular dynamics (MD) and MMPBSA simulations like binding affinity, potential energy (E_pot), RMSD, RMSF, SASA energy, interaction energies, Gibbs free energy (ΔG_bind) etc. also helped us to verify the effectivity of mentioned drugs against CoV-2 protease.

SUBMITTER: Yadav P

PROVIDER: S-EPMC9737521 | biostudies-literature | 2022 Dec

REPOSITORIES: biostudies-literature

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Effectivity of repurposed drugs against SARS-CoV-2 infections, A hope for COVID 19: inhibitor modelling studies by docking and molecular dynamics.

Yadav Pooja P Chowdhury Papia P

Heliyon 20221210 12

In the present study, we have done a comparative study on the efficacy of some currently used repurposed drugs: Oseltamivir (O), Favipiravir (F) and Hydroxychloroquine (H) in individual and in their combinational mode against CoV-2 infections. The ADME analysis has helped us to identify the inhibitory possibility of the tested drugs towards receptor 3CL<sup>pro</sup> protein of SARS-CoV-2. Various thermodynamical parameters obtained from Molecular Docking, Molecular dynamics (MD) and MMPBSA simu ...[more]

PMID: 36531644

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Project description:The repurposing of FDA approved drugs is presently receiving attention for COVID-19 drug discovery. Previous studies revealed the binding potential of several FDA-approved drugs towards specific targets of SARS-CoV-2; however, limited studies are focused on the structural and molecular basis of interaction of these drugs towards multiple targets of SARS-CoV-2. The present study aimed to predict the binding potential of six FDA drugs towards fifteen protein targets of SARS-CoV-2 and propose the structural and molecular basis of the interaction by molecular docking and dynamic simulation. Based on the literature survey, fifteen potential targets of SARS-CoV-2, and six FDA drugs (Chloroquine, Hydroxychloroquine, Favipiravir, Lopinavir, Remdesivir, and Ritonavir) were selected. The binding potential of individual drug towards the selected targets was predicted by molecular docking in comparison with the binding of the same drugs with their usual targets. The stabilities of the best-docked conformations were confirmed by molecular dynamic simulation and energy calculations. Among the selected drugs, Ritonavir and Lopinavir showed better binding towards the prioritized targets with minimum binding energy (kcal/mol), cluster-RMS, number of interacting residues, and stabilizing forces when compared with the binding of Chloroquine, Favipiravir, and Hydroxychloroquine, later drugs demonstrated better binding when compared to the binding with their usual targets. Remdesvir showed better binding to the prioritized targets in comparison with the binding of Chloroquine, Favipiravir, and Hydroxychloroquine, but showed lesser binding potential when compared to the interaction between Ritonavir and Lopinavir and the prioritized targets. The structural and molecular basis of interactions suggest that the FDA drugs can be repurposed towards multiple targets of SARS-CoV-2, and the present computational models provide insights on the scope of repurposed drugs against COVID-19.

Project description:Breast cancer is a leading cause of cancer-related morbidity and mortality worldwide, with the highest incidence among women. Among the various subtypes of breast cancer, estrogen-receptor positive (ER+) is the most diagnosed. Estrogen upregulates cyclin D1, which in turn promotes the activity of CDK4/6 and facilitates cell cycle progression. To address this, the first-line treatment for ER+ breast cancer focuses on inhibiting estrogen production by targeting aromatase, the enzyme responsible for the rate-limiting step in estrogen synthesis. Thus, combining CDK4/6 inhibitors with aromatase inhibitors has emerged as a crucial treatment strategy for this type of breast cancer. This approach effectively suppresses estrogen biosynthesis and controls uncontrolled cell proliferation, significantly improving overall survival rates and delayed disease progression. This study aimed to identify compounds that are likely to inhibit CDK4/6 and aromatase simultaneously by using a structure-based drug design strategy. 12,432 approved and investigational drugs were prepared and docked into the active site of CDK6 using HTVS and XP docking modes of Glide resulting in 277 compounds with docking scores ≤ -7 kcal/mol. These compounds were docked into aromatase enzyme using XP mode to give seven drugs with docking scores≤ -6.001 kcal/mol. Furthermore, the shortlisted drugs were docked against CDK4 showing docking scores ranging from -3.254 to -8.254 kcal/mol. Moreover, MM-GBSA for the top seven drugs was calculated. Four drugs, namely ellagic acid, carazolol, dantron, and apomorphine, demonstrated good binding affinity to all three protein targets CDK4/6 and aromatase. Specifically, they exhibited favourable binding free energy with CDK6, with values of -51.92, -53.90, -50.22, and -60.97 kcal/mol, respectively. Among these drugs, apomorphine displayed the most favourable binding free energy with all three protein targets. To further evaluate the stability of the interaction, apomorphine was subjected to a 100 ns molecular dynamics simulation with CDK6. The results indicated the formation of a stable ligand-protein complex. While the results obtained from the MM-GBSA calculation of the binding free energies of the MD conformations of apomorphine showed less favourable binding free energy compared to that obtained post-docking. All these computational findings will provide better structural insight for the development of CDK4/6 and aromatase multi-target inhibitors.

Dataset Information

Effectivity of repurposed drugs against SARS-CoV-2 infections, A hope for COVID 19: inhibitor modelling studies by docking and molecular dynamics.

Publications

Effectivity of repurposed drugs against SARS-CoV-2 infections, A hope for COVID 19: inhibitor modelling studies by docking and molecular dynamics.

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