Litcius/Paper detail

Molecular Docking: A Powerful Approach for Structure-Based Drug Discovery

Xuan-Yu Meng, Hong‐Xing Zhang, Mihaly Mezei, Meng Cui

2011Current Computer - Aided Drug Design3,625 citationsDOI

Abstract

Molecular docking has become an increasingly important tool for drug discovery. In this review, we present a brief introduction of the available molecular docking methods, and their development and applications in drug discovery. The relevant basic theories, including sampling algorithms and scoring functions, are summarized. The differences in and performance of available docking software are also discussed. Flexible receptor molecular docking approaches, especially those including backbone flexibility in receptors, are a challenge for available docking methods. A recently developed Local Move Monte Carlo (LMMC) based approach is introduced as a potential solution to flexible receptor docking problems. Three application examples of molecular docking approaches for drug discovery are provided. Keywords: Conformational sampling, scoring, flexible protein-ligand docking, backbone flexibility, local move Monte Carlo sampling, molecular docking, drug discovery, virtual screening, high throughput screening, QSAR

Topics & Concepts

Docking (animal)Drug discoveryVirtual screeningProtein–ligand dockingComputer scienceComputational biologyMonte Carlo methodBioinformaticsBiologyMathematicsMedicineNursingStatisticsComputational Drug Discovery MethodsMachine Learning in Materials ScienceChemistry and Chemical Engineering