A Comprehensive Review on Molecular Docking in Drug Discovery

Molecular docking is a pivotal computational technique in drug discovery and development, enabling the analysis of interactions between small molecules (ligands) and target proteins. This review aims to explore the evolution of molecular docking methodologies, examine their current applications, and anticipate future directions in the field. By synthesizing insights from recent literature and technological advancements, we highlight the transition from traditional rigid docking approaches to more sophisticate flexible and ensemble docking techniques, discussing their respective advantages and limitations. At its core, molecular docking evaluates the spatial and energetic compatibility between a ligand and the active site of a receptor, playing a critical role in identifying new drug candidates, optimizing existing compounds, and elucidating drug-receptor interactions. The use of accurate scoring functions is essential to effectively rank ligand-receptor conformations based on binding affinity, thereby prioritizing compounds for experimental validation. Molecular docking is integral to various stages of drug development, including structure-based drug design, virtual screening, and lead optimization. In structure-based approaches, the three-dimensional structure of the target biomolecule guides the selection of ligands that interact with the active site. Virtual screening accelerates the identification of promising candidates by rapidly evaluating large chemical libraries. As docking technologies continue to evolve, their integration with other computational and experimental methods holds promise for more efficient and precise drug discovery pipelines.