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1.
Curr Microbiol ; 79(8): 241, 2022 Jul 06.
Article in English | MEDLINE | ID: covidwho-1919769

ABSTRACT

D614G is one of the most reported mutations in the spike protein of SARS-COV-2 that has altered some crucial characteristics of coronaviruses, such as rate of infection and binding affinities. The binding affinity of different antiviral drugs was evaluated using rigid molecular docking. The reliability of the docking results was evaluated with the induced-fit docking method, and a better understanding of the drug-protein interactions was performed using molecular dynamics simulation. The results show that the D614G variant could change the binding affinity of antiviral drugs and spike protein remarkably. Although Cytarabine showed an appropriate interaction with the wild spike protein, Ribavirin and PMEG diphosphate exhibited a significant binding affinity to the mutated spike protein. The parameters of the ADME/T analysis showed that these drugs are suitable for further in-vitro and in-vivo investigation. D614G alteration affected the binding affinity of the RBD and its receptor on the cell surface.


Subject(s)
COVID-19 , SARS-CoV-2 , Antiviral Agents/pharmacology , Humans , Molecular Docking Simulation , Molecular Dynamics Simulation , Mutation , Reproducibility of Results , SARS-CoV-2/genetics , Spike Glycoprotein, Coronavirus/genetics , Spike Glycoprotein, Coronavirus/metabolism
2.
Bratisl Lek Listy ; 123(7): 505-513, 2022.
Article in English | MEDLINE | ID: covidwho-1911881

ABSTRACT

BACKGROUND: A pyrimidine based Schiff base was examined in this report. Structural and spectral characterizations were done with Gaussian software. Active sites of the compound were determined using molecular electrostatic potential (MEP) maps. AIM: We focused to determine whether pyrimidine based Schiff base would be an inhibitor against Omicron of SARS-CoV-2 in silico. RESULTS AND CONCLUSION: As one of the perils the world has seen lately, omicron of SARS-CoV-2, is a complication to be solved. For the sake of that, anti-viral properties of studied pyrimidine based Schiff base compound were investigated with molecular docking calculations. It was found that the quantitative values of the calculated parameters were in the applicable ranges. In accordance with these results, it will be an important guide for future in vitro and in vivo analysis (Tab. 3, Fig. 7, Ref. 70).


Subject(s)
COVID-19 , SARS-CoV-2 , Humans , Molecular Docking Simulation , Pyrimidines/pharmacology , Schiff Bases
3.
Biophys Chem ; 272: 106564, 2021 05.
Article in English | MEDLINE | ID: covidwho-1091923

ABSTRACT

INTRODUCTION: Despite all the efforts to treat COVID-19, no particular cure has been found for this virus. Since developing antiviral drugs is a time-consuming process, the most effective approach is to evaluate the approved and under investigation drugs using in silico methods. Among the different targets within the virus structure, as a vital component in the life cycle of coronaviruses, RNA-dependent RNA polymerase (RdRP) can be a critical target for antiviral drugs. The impact of the existence of RNA in the enzyme structure on the binding affinity of anti-RdRP drugs has not been investigated so far. METHODS: In this study, the potential anti-RdRP effects of a variety of drugs from two databases (Zinc database and DrugBank) were evaluated using molecular docking. For this purpose, the newly emerged model of COVID-19 (RdRP) post-translocated catalytic complex (PDB ID: 7BZF) that consists of RNA was chosen as the target. RESULTS: The results indicated that idarubicin (IDR), a member of the anthracycline antibiotic family, and fenoterol (FNT), a known beta-2 adrenergic agonist drug, tightly bind to the target enzyme and could be used as potential anti-RdRP inhibitors of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). These outcomes revealed that due to the ligand-protein interactions, the presence of RNA in this structure could remarkably affect the binding affinity of inhibitor compounds. CONCLUSION: In silico approaches, such as molecular docking, could effectively address the problem of finding appropriate treatment for COVID-19. Our results showed that IDR and FNT have a significant affinity to the RdRP of SARS-CoV-2; therefore, these drugs are remarkable inhibitors of coronaviruses.


Subject(s)
Antiviral Agents/pharmacology , COVID-19 Drug Treatment , Computational Chemistry , Enzyme Inhibitors/pharmacology , RNA-Dependent RNA Polymerase/antagonists & inhibitors , SARS-CoV-2/drug effects , Antiviral Agents/therapeutic use , COVID-19/virology , Enzyme Inhibitors/therapeutic use , Humans , Molecular Docking Simulation , SARS-CoV-2/enzymology , SARS-CoV-2/isolation & purification
4.
J Biomol Struct Dyn ; 39(18): 7263-7273, 2021 11.
Article in English | MEDLINE | ID: covidwho-712868

ABSTRACT

The SARS-CoV-2 virus is a major problem in the world right now. Currently, all the attention of research centers and governments globally are focused on the investigation of vaccination studies and the discovery of small molecules that inhibit the SARS-CoV-2 virus in the treatment of patients. The goal of this study was to locate small molecules to be used against COVID19 instead of favipiravir. Favipiravir analogues were selected as drug candidates from the PubChem web tool. The RNA dependent RNA polymerase (RdRp) protein was selected as the target protein as favipiravir inhibits this protein in the human body. Initially, the inhibition activity of the studied compounds against RdRp of different virus types was investigated. Then, the inhibition properties of selected drug candidates and favipiravir were examined in detail against SARS-CoV-2 RdRp proteins. It was found that 2-oxo-1H-pyrazine-3-carboxamide performed better than favipiravir in the results of molecular docking, molecular mechanics Poisson-Boltzmann surface area (MM-PSBA) calculations, and ADME analyses.Communicated by Ramaswamy H. Sarma.


Subject(s)
COVID-19 , Pharmaceutical Preparations , Amides , Antiviral Agents/pharmacology , Humans , Molecular Docking Simulation , Pyrazines , SARS-CoV-2
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