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Investigate the interaction of testosterone/progesterone with ionic liquids on varying the anion to combat COVID-19: Density functional theory calculations and molecular docking approach.

ABSTRACT: Hormones like testosterone and progesterone in the humans play significant role in the regulation of various biological processes like the body growth, reproduction, and others. In last two decades, researchers are using ionic liquids (ILs) extensively in different areas of sciences, and they are a novel class of compounds as well as their polarity can be tuned. ILs are multidisciplinary in nature and can be used in chemistry, materials science, chemical engineering, and environmental science. Further, ILs are being explored to increase the solubility of drugs or biological potential molecules. Testosterone and progesterone are found to be not very polar in nature; therefore, the authors attempt to increase the solubility of testosterone and progesterone via interaction with ILs. It was studied with density functional theory calculations using Gaussian, and an increase in the value of dipole moment is observed for the complex of testosterone/progesterone with the ILs in comparison of individual one. The optimization energy and other thermodynamic energies of the ILs (IL1-IL3), testosterone (T), testosterone-IL (T-IL1 to T-IL3), progesterone (P), and progesterone-ILs (P-IL1 to P-IL3) are found to be negative. Further, the change in free energy for the formation of complexes at room temperature is calculated. Further, the authors have investigated the synergistic effect of testosterone and progesterone against the main protease of new coronavirus using molecular docking. It is observed that the testosterone-IL1 {IL1-3-(2-hydroxyethyl)-1-methyl-1H-imidazol-3-ium 2,4,6-trinitrophenolate} is found to be prominent against the main protease of SARS-CoV-2.

SUBMITTER: Kumari K

PROVIDER: S-EPMC8420490 | biostudies-literature |

REPOSITORIES: biostudies-literature

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Project description:Accurate determination of the physicochemical characteristics of ionic liquids (ILs), especially viscosity, at widespread operating conditions is of a vital role for various fields. In this study, the viscosity of pure ILs is modeled using three approaches: (I) a simple group contribution method based on temperature, pressure, boiling temperature, acentric factor, molecular weight, critical temperature, critical pressure, and critical volume; (II) a model based on thermodynamic properties, pressure, and temperature; and (III) a model based on chemical structure, pressure, and temperature. Furthermore, Eyring's absolute rate theory is used to predict viscosity based on boiling temperature and temperature. To develop Model (I), a simple correlation was applied, while for Models (II) and (III), smart approaches such as multilayer perceptron networks optimized by a Levenberg-Marquardt algorithm (MLP-LMA) and Bayesian Regularization (MLP-BR), decision tree (DT), and least square support vector machine optimized by bat algorithm (BAT-LSSVM) were utilized to establish robust and accurate predictive paradigms. These approaches were implemented using a large database consisting of 2813 experimental viscosity points from 45 different ILs under an extensive range of pressure and temperature. Afterward, the four most accurate models were selected to construct a committee machine intelligent system (CMIS). Eyring's theory's results to predict the viscosity demonstrated that although the theory is not precise, its simplicity is still beneficial. The proposed CMIS model provides the most precise responses with an absolute average relative deviation (AARD) of less than 4% for predicting the viscosity of ILs based on Model (II) and (III). Lastly, the applicability domain of the CMIS model and the quality of experimental data were assessed through the Leverage statistical method. It is concluded that intelligent-based predictive models are powerful alternatives for time-consuming and expensive experimental processes of the ILs viscosity measurement.

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Investigate the interaction of testosterone/progesterone with ionic liquids on varying the anion to combat COVID-19: Density functional theory calculations and molecular docking approach.

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