RESUMO
BACKGROUND: Seven dioxaborole compounds are investigated in this study. Structural and spectral characterization is done at M062X/6-31+G(d,p) level in the water. Active sites of these compounds are determined using molecular electrostatic potential (MEP) maps. Electrophilic and nucleophilic attack regions are determined. AIM: We aimed to determine whether Boron-Containing Compounds (BCCs) inhibitor used in the treatment of COVID-19 are effective against SARS Cov-2 in silico. RESULTS AND CONCLUSION: Since SARS-CoV-2 is a worldwide health problem, anti-viral properties of studied boron-containing compounds were investigated by molecular docking calculations. In addition to these calculations, MM/PSBA calculations were performed. It was found that boron compounds can be good drug candidate against SARS-CoV-2 and the best compound is ((R)-1-((S)-3-(4-(aminomethyl)phenyl)-2-benzamidopropanamido)-4-guanidinobutyl)boronic acid (C26) (Tab. 2, Fig. 6, Ref. 29). Text in PDF www.elis.sk Keywords: boronate ester, dioxaborole, in silico, SARS-CoV-2, MD calculations.
Assuntos
COVID-19 , SARS-CoV-2 , Antivirais/farmacologia , Antivirais/uso terapêutico , Compostos de Boro/farmacologia , Humanos , Simulação de Acoplamento MolecularRESUMO
BACKGROUND: It is the SARS-CoV-2 virus, one of the most significant diseases of today's world. Due to the high transmission of this disease, studies are ongoing to discover an inhibitor drug that can stop this disease. In this study, inhibitory drugs used for many diseases were tried to stop the SARS-CoV-2 virus. AIM: In the calculations made, inhibitor molecules for the SARS-CoV-2 virus were calculated by molecular docking method. RESULTS AND CONCLUSION: Inhibitory activities of SARS-CoV-2 virus against spike glycoprotein (PDB ID: 6M0J, 6LZG), main protease (PDB ID: 5RGG, 6WTT), and RNA dependent RNA polymerase (RdRp) (PDB ID: 6YYT, 7BV2) proteins were compared. Then, docking calculations were supported by calculations by MM-PSBA of the inhibitor with the highest activity. Afterwards, it was compared with FDA approved drugs for the SARS-CoV-2 virus. It was found that the Carvedilol molecule was the best against RNA dependent RNA polymerase (RdRp) protein of SARS-CoV-2 (Tab. 4, Fig. 9, Ref. 42).
Assuntos
COVID-19 , Preparações Farmacêuticas , Antivirais/farmacologia , Humanos , Simulação de Acoplamento Molecular , SARS-CoV-2RESUMO
BACKGROUND: SARS-CoV-2, which started in Wuhan and later affected the whole world, is the most important disease of the world today. Many ways to inhibit SARS-CoV-2 virus are sought to prevent the spread of this virus. Azithromycin and clarithromycin are considered for the treatment of the SARS-CoV-2 virus, which has a high similarity to previous colonic diseases. AIM: We aimed to determine whether azithromycin and clarithromycin, the RNA-dependent RNA polymerase protein inhibitor used in the treatment of COVID-19, is effective against SARS Cov-2 in silico. RESULTS AND CONCLUSION: The 503 analogues of azithromycin and clarithromycin were studied to target SARS-CoV-2 the RNA-dependent RNA polymerase protein inhibition. Maestro program was used to compare the inhibition activities of these analogues. A detailed comparison was made using the numerical value of many parameters obtained. ADME / T properties were then examined to determine the effects and reactions of analogues on human metabolism. In this study, the SARS-CoV2 virus is 6NUR and 6NUS, which is the RNA-dependent RNA polymerase protein. Among these proteins, the best inhibitor among the 503 analogues according to the docking score parameter was 9851445 with a great difference. This analogue was an analogue of azithromycin (Tab. 3, Fig. 6, Ref. 58).