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Updated: Mar 24, 2026

Incorporating Target Protein Structure Flexibility and Dynamics in Computational Drug Discovery Using Ensemble-Based Docking Analysis
Published on: June 20, 2025
Best Practices in Mixed-Solvent Molecular Dynamics and Solvent-Site-Biased Docking
Juan Manuel Prieto1,2, Jose A D Cuellar Estrada1,2, Camila Mara Clemente2
1Departamento de Química Biológica, Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires (FCEyN-UBA), Buenos Aires C1428EHA, Argentina.
Abstract:
In this work, we present practical recommendations for the setup, analysis, and integration of mixed-solvent molecular dynamics (MixMD), solvent-biased docking (SSBD) workflows and pharmacophore analysis, drawing on more than a decade of accumulated experience in the field from multiple implementations and applications. Rather than providing a comprehensive review of all applications of MixMD, this Perspective focuses specifically on its use as a methodological foundation for deriving solvent sites that inform docking and pharmacophore-based strategies in structure-based drug design. Currently, mixed-solvent simulations and solvent-biased docking constitute a coherent, experimentally validated strategy for identifying and exploiting binding hot spots in proteins, and for translating solvent occupancy patterns into structurally interpretable pharmacophoric features and docking constraints. By standardizing best practices, and synthesizing previously published computational studies into a unified methodological framework, we aim to facilitate broader adoption of these methods within the structure-based drug design community, enabling more reliable identification of functional sites and accelerating rational ligand discovery.
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