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In Silico Modeling Method for Computational Aquatic Toxicology of Endocrine Disruptors: A Software-Based Approach Using QSAR Toolbox
Published on: August 28, 2019
In silico characterization of Ciwujianoside E: Structural features, solvation dynamics, and eco-toxicological
A Marta Navarro-Cuñado1, María J Tapia1, Sergio de-la-Huerta-Sainz1
1Department of Chemistry, University of Burgos, Burgos 09001, Spain.
Abstract:
This work presents an in-depth characterization of Ciwujianoside E through Density Functional Theory (DFT) and Quantum Theory of Atoms in Molecules (QTAIM) analyses. We investigated multiple conformers, revealing the critical electronic and geometric properties that influence molecular behavior. This study includes electron density distributions and topological characteristics defining the structural integrity, along with a detailed hydrogen bonding network analysis. High-level quantum mechanical calculations provide precise geometric optimization for various conformer configurations. Complementary, molecular docking studies have assessed interactions with human proteins and plasma membranes, elucidating binding mechanisms with potential pharmacological and/or toxicological significance. Likewise, the possibility of using Deep Eutectics Solvents (DES) for the extraction of Ciwujianoside E as an environmentally friendly extraction procedure was considered when designing suitable molecular combinations to improve affinity and target molecule solubility. Moreover, the solvation mechanism(s) of Ciwujianoside E in water and Deep Eutectic Solvents were analyzed via Molecular Dynamics simulations. This integrated computational approach provides a comprehensive insight into the molecular characteristics of Ciwujianoside E.
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