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DFT investigations and molecular docking as potent inhibitors of SARS-CoV-2 main protease of 4-phenylpyrimidine

In this work, quantum chemical descriptors and a vibrational analysis of 4-Phenylpyrimidine (4-PPy) were also investigated. Through conformational analysis, the most stable conformer can be determined. The geometry of the molecular structure was optimized by using the density functional theory (DFT)...

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Detalles Bibliográficos
Autor principal: Celik, Sibel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier B.V. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9803264/
https://www.ncbi.nlm.nih.gov/pubmed/36619799
http://dx.doi.org/10.1016/j.molstruc.2022.134895
Descripción
Sumario:In this work, quantum chemical descriptors and a vibrational analysis of 4-Phenylpyrimidine (4-PPy) were also investigated. Through conformational analysis, the most stable conformer can be determined. The geometry of the molecular structure was optimized by using the density functional theory (DFT) at the B3LYP/6–311++G(d,p) level. The theoretically obtained FT-IR and FT-Raman spectral data agree with the experimental results. UV–Vis was done in the gas phase along with different solvents by the TD-DFT method and the PCM solvent model. Molecular electrostatic potential, natural bond orbital analysis, nonlinear optical properties, and global chemical reactivity parameters were described through the DFT method. Besides, the chemical implications of a molecule were explained using an electron localization function and a local orbital locator. We attempted to detect the antiviral activity of the 4-PPy compound by predicting molecular docking into coronavirus 2 (SARS-n-CoV-2) protein structures (6LU7, 6M03, and 6W63), because COVID-19 is known to have serious adverse effects in all areas of human life worldwide, and possible drugs need to be investigated for this. The results of the docking simulation demonstrate good affinities for binding to the receptors.