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CHEMICAL-QUANTUM EVALUATION OF GLIBENCLAMIDE INTERACTIONS VS. SARS-COV-2
José Carlos Zúñiga-Ramírez, Nancy Zamora-Puga, Dulce Rocío Pérez-Juárez, *Manuel González-Pérez
ABSTRACT The present investigation addresses the chemical-quantum interaction of Glibenclamide (Gbn) and the evaluation of the relationship with the Amino Acids (AAs) of SARS-CoV-2. HyperChem is a sophisticated molecular modeling environment known for its quality, flexibility, and ease of use. The Semi-Empirical Parametric Method 3 (SE-PM3) is used in hyperchem as the basis for all calculations. This method treats the molecule as a collection of valence electrons and atomic centers; each center consists of an atom and its inner electrons. Results: The strongest and most probable interactions take place at the bottom of the quantum well (first quartile of 441 probable interactions). These interactions are 16 antioxidants and 21 oxidants. Total = 47 interactions. Medications like Remdesivir only contain 22 strongest and most likely interactions. We concluded Gbn is a drug that can save covid-19 patients, and it can be verified with the hypothesis: "diabetic patients who take Gbn are less likely to suffer from covid-19 disease than patients do not ingest Gbn". Keywords: Glibenclamide, Diabetes Type 2, Sars-cov-2, Covid-19, Insulin. [Download Article] [Download Certifiate] |