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Biophysical Reviews

, Volume 6, Issue 1, pp 75–87 | Cite as

Receptor–ligand molecular docking

  • Isabella A. Guedes
  • Camila S. de Magalhães
  • Laurent E. DardenneEmail author
Review

Abstract

Docking methodology aims to predict the experimental binding modes and affinities of small molecules within the binding site of particular receptor targets and is currently used as a standard computational tool in drug design for lead compound optimisation and in virtual screening studies to find novel biologically active molecules. The basic tools of a docking methodology include a search algorithm and an energy scoring function for generating and evaluating ligand poses. In this review, we present the search algorithms and scoring functions most commonly used in current molecular docking methods that focus on protein–ligand applications. We summarise the main topics and recent computational and methodological advances in protein–ligand docking. Protein flexibility, multiple ligand binding modes and the free-energy landscape profile for binding affinity prediction are important and interconnected challenges to be overcome by further methodological developments in the docking field.

Keywords

Protein-ligand docking Structure-based drug design Scoring functions Search algorithms 

Notes

Acknowledgments

The authors would like to thank FAPERJ project grant number N. E-26/102.443/2009 and CNPq project grant number N. 307062/2010-4.

Conflict of interest

Isabella Alvim Guedes, Camila Silva de Magalhães, and Laurent Emmanuel Dardenne declare that they have no conflict of interest.

Human & animal studies

This article does not contain any studies with human or animal subjects performed by the any of the authors.

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Copyright information

© International Union for Pure and Applied Biophysics (IUPAB) and Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Isabella A. Guedes
    • 1
  • Camila S. de Magalhães
    • 2
  • Laurent E. Dardenne
    • 1
    Email author
  1. 1.Laboratório Nacional de Computação Científica (LNCC/MCT)PetrópolisBrazil
  2. 2.Departamento de MatemáticaUniversidade Federal Rural do Rio de Janeiro (UFRRJ)SeropédicaBrazil

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