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What is it about?
The study focused on designing, optimizing, and evaluating novel dioxabicyclo[3.2.1]octane-based ligands as potential inhibitors of Sodium-Glucose Cotransporter 2 (SGLT2) to manage type 2 diabetes mellitus. A total of 30 ligands were systematically designed with varying substitutions, including heteroatoms and fused rings, and underwent energy minimization using the MMFF94 force field. These optimized ligands were subjected to molecular docking using AutoDock Vina against the SGLT2 receptor to evaluate their binding affinity. Compound 24, featuring a fused five-member N-heterocycle, exhibited the strongest binding affinity with a score of -10.3 kcal/mol. Comparative docking analysis highlighted Compounds 24, 25, 26, 23, and 1 as the top candidates based on their binding affinities and pose stability. The research successfully identified Compound 24 as a promising lead for further optimization and biological evaluation. Docked complexes were visualized using PyMOL to evaluate ligand orientation and interactions within the SGLT2 active site.
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Why is it important?
This study is important as it focuses on the design and optimization of dioxabicyclo[3.2.1]octane-based ligands as potential inhibitors of Sodium-Glucose Cotransporter 2 (SGLT2), which plays a crucial role in managing type 2 diabetes mellitus. The research leverages computational tools to predict molecular behavior, binding affinity, and drug-like properties, thereby reducing the need for costly and time-consuming experimental evaluations. By focusing on scaffold modifications inspired by the clinically proven ertugliflozin, the study aims to identify more effective therapeutic agents with improved binding efficiency and safety profiles. This approach could lead to innovative antidiabetic treatments with broader therapeutic benefits. Key Takeaways: 1. Promising SGLT2 Inhibitors: The study identifies Compound 24 as the most promising dioxabicyclo[3.2.1]octane-based ligand with the strongest binding affinity (-10.3 kcal/mol) and excellent stability, indicating its potential as a lead compound for further optimization and biological evaluation. 2. Effective Scaffold Modifications: Incorporating nitrogen- and sulfur-containing fused heterocycles in the ligand design significantly improved electronic and hydrophobic interactions, enhancing the binding affinity and selectivity of the compounds toward the SGLT2 receptor. 3. Comprehensive In Silico Analysis: The research demonstrates the effectiveness of using molecular docking and simulation tools to evaluate ligand orientation, binding poses, and interactions, facilitating rapid identification of lead compounds for antidiabetic drug development.
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This page is a summary of: Rational Design and Molecular Docking-Based in Silico Affinity Analysis of Dioxabicyclo Octane Hybrids, Premier Journal of Science, December 2025, Premier Science,
DOI: 10.70389/pjs.100197.
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