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Article

Exploring the Chemical Reactivity, Molecular Docking, Molecular Dynamic Simulation and ADMET Properties of a Tetrahydrothienopyridine Derivative Using Computational Methods

1
Department of Pharmaceutical Chemistry, College of Pharmacy, King Saud University, P.O. Box 2457, Riyadh 11451, Saudi Arabia
2
School of Health and Biomedical Sciences, RMIT University, Melbourne 3083, Australia
*
Authors to whom correspondence should be addressed.
Crystals 2023, 13(7), 1020; https://doi.org/10.3390/cryst13071020
Submission received: 11 June 2023 / Revised: 21 June 2023 / Accepted: 23 June 2023 / Published: 27 June 2023

Abstract

This study investigates the crystal structure, physicochemical properties, and pharmacokinetic profile of Ethyl 2-amino-6-methyl-4,5,6,7-tetrahydrothieno[2,3-c]pyridine-3-carboxylate (EAMT) as a potential therapeutic agent. The crystal structure was analyzed using Hirshfeld surface analysis in conjunction with the quantum theory of atoms in molecules (QT-AIM). Non-covalent interactions were evaluated through reduced-density gradient reduction, revealing that the EAMT crystal is stabilized by hydrogen bonds between EAMT molecules in the crystal and between EAMT molecules and water molecules. The molecular electrostatic nature of interactions was examined using MESP, while global and local descriptors were calculated to assess the compound’s reactivity. Molecular docking with the Adenosine A1 receptor was performed and validated through a 50 ns molecular dynamics simulation (MDS). Results suggest that EAMT influences protein structure, potentially stabilizing specific secondary structure elements. The compactness analysis showed a slightly more compact protein conformation and a marginally increased solvent exposure in the presence of the EAMT ligand, as indicated by Rg and SASA values. The total binding free energy (ΔG total) was determined to be −114.56 kcal/mol. ADMET predictions demonstrated EAMT’s compliance with Lipinski’s and Pfizer’s rule of five, indicating good oral availability. The compound may exhibit low-potency endocrine activity. In conclusion, EAMT presents potential as a therapeutic candidate, warranting further exploration of its molecular interactions, pharmacokinetics, and potential safety concerns.
Keywords: molecular electrostatic potential; non-covalent interaction–reduced-density gradient analysis; chemical reactivity; quantum theory of atoms in molecules; crystal structure; Hirshfeld surface analysis; ADMET prediction; drug-likeness; drug-ability; pharmaceutical properties molecular electrostatic potential; non-covalent interaction–reduced-density gradient analysis; chemical reactivity; quantum theory of atoms in molecules; crystal structure; Hirshfeld surface analysis; ADMET prediction; drug-likeness; drug-ability; pharmaceutical properties

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MDPI and ACS Style

Bakheit, A.H.; Attwa, M.W.; Kadi, A.A.; Ghabbour, H.A.; Alkahtani, H.M. Exploring the Chemical Reactivity, Molecular Docking, Molecular Dynamic Simulation and ADMET Properties of a Tetrahydrothienopyridine Derivative Using Computational Methods. Crystals 2023, 13, 1020. https://doi.org/10.3390/cryst13071020

AMA Style

Bakheit AH, Attwa MW, Kadi AA, Ghabbour HA, Alkahtani HM. Exploring the Chemical Reactivity, Molecular Docking, Molecular Dynamic Simulation and ADMET Properties of a Tetrahydrothienopyridine Derivative Using Computational Methods. Crystals. 2023; 13(7):1020. https://doi.org/10.3390/cryst13071020

Chicago/Turabian Style

Bakheit, Ahmed H., Mohamed W. Attwa, Adnan A. Kadi, Hazem A. Ghabbour, and Hamad M. Alkahtani. 2023. "Exploring the Chemical Reactivity, Molecular Docking, Molecular Dynamic Simulation and ADMET Properties of a Tetrahydrothienopyridine Derivative Using Computational Methods" Crystals 13, no. 7: 1020. https://doi.org/10.3390/cryst13071020

APA Style

Bakheit, A. H., Attwa, M. W., Kadi, A. A., Ghabbour, H. A., & Alkahtani, H. M. (2023). Exploring the Chemical Reactivity, Molecular Docking, Molecular Dynamic Simulation and ADMET Properties of a Tetrahydrothienopyridine Derivative Using Computational Methods. Crystals, 13(7), 1020. https://doi.org/10.3390/cryst13071020

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