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DFT and Molecular Docking Study of 1-(2´-Thiophen)-2-propen-1-one-3-(2,3,5-trichlorophenyl) (TTCP) Molecule as Antiviral to Covid-19 Main Protease.
Ipek, Cengiz; Gümüs, Hacer; Simsek, Merve; Tosun, Murat.
  • Ipek C; Department of Civil Engineering, Istanbul Medeniyet University, Unalan Campus, Uskudar, 34700 Istanbul, Turkey.
  • Gümüs H; Kocaeli University, Golcuk Vocational School, Automotive Technology Program , Kocaeli University, Kocaeli, Turkey.
  • Simsek M; Department of Physics, Faculty of Arts and Sciences, Sakarya University, 54187 Serdivan, Sakarya Turkey.
  • Tosun M; Mechanical Engineering Department, Faculty of Mechanical Engineering, Istanbul Technical University, 34437 Gumussuyu, Istanbul, Turkey.
Arab J Sci Eng ; : 1-10, 2022 Oct 27.
Article in English | MEDLINE | ID: covidwho-2241691
ABSTRACT
Thiophene-containing compounds have antiviral properties and may be among the drugs tested for the treatment of COVID-19 diseases. In order to better understand the molecular definition of the 1-(2´-Thiophen)-2-propen-1-one-3-(2,3,5-trichlorophenyl) molecule from thiophene-containing compounds, the physico-chemical (molecular structure analysis, spectroscopic properties, boundary orbital analysis) mechanisms underlying the protein-ligand interaction should be examined in detail. For this reason, geometric parameters, IR and UV-vis spectra, conformational analysis, electronic, NBO and NLO properties, molecular electrostatic potential map and Mulliken charge distributions of the TTCP molecule were investigated theoretically using DFT theory in the Gaussian program. Accordingly, molecular docking calculations with COVID-19 main protease (PDB 5R7Y) were performed to determine the pharmaceutical activities of the TTCP molecule against coronavirus diseases.
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Full text: Available Collection: International databases Database: MEDLINE Language: English Journal: Arab J Sci Eng Year: 2022 Document Type: Article Affiliation country: S13369-022-07293-4

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Full text: Available Collection: International databases Database: MEDLINE Language: English Journal: Arab J Sci Eng Year: 2022 Document Type: Article Affiliation country: S13369-022-07293-4