Receptor–ligand molecular docking

作者: Isabella A. Guedes , Camila S. de Magalhães , Laurent E. Dardenne

DOI: 10.1007/S12551-013-0130-2

关键词: Small moleculeLigand (biochemistry)Protein–ligand dockingComputational biologyVirtual screeningDocking (molecular)Lead FinderBiologyCombinatorial chemistrySearch algorithmScoring functions for docking

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

参考文章(180)
Antoine Logean, Alessandro Sette, Didier Rognan, Customized versus universal scoring functions Bioorganic & Medicinal Chemistry Letters. ,vol. 11, pp. 675- 679 ,(2001) , 10.1016/S0960-894X(01)00021-X
Chao Zhang, George Vasmatzis, James L Cornette, Charles DeLisi, Determination of atomic desolvation energies from the structures of crystallized proteins. Journal of Molecular Biology. ,vol. 267, pp. 707- 726 ,(1997) , 10.1006/JMBI.1996.0859
Matthias Rarey, Bernd Kramer, Thomas Lengauer, Multiple automatic base selection: protein-ligand docking based on incremental construction without manual intervention. Journal of Computer-aided Molecular Design. ,vol. 11, pp. 369- 384 ,(1997) , 10.1023/A:1007913026166
Hans-Joachim B�hm, The computer program LUDI: A new method for the de novo design of enzyme inhibitors Journal of Computer-aided Molecular Design. ,vol. 6, pp. 61- 78 ,(1992) , 10.1007/BF00124387
Oliver Korb, Thomas Stützle, Thomas E. Exner, PLANTS: Application of Ant Colony Optimization to Structure-Based Drug Design Ant Colony Optimization and Swarm Intelligence. pp. 247- 258 ,(2006) , 10.1007/11839088_22
Camila S de Magalhaes, Helio JC Barbosa, Laurent E Dardenne, None, Selection-Insertion Schemes in Genetic Algorithms for the Flexible Ligand Docking Problem genetic and evolutionary computation conference. pp. 368- 379 ,(2004) , 10.1007/978-3-540-24854-5_38
Johan Åqvist, Carmen Medina, Jan-Erik Samuelsson, A New Method for Predicting Binding Affinity in Computer-Aided Drug Design Protein Engineering. ,vol. 7, pp. 385- 391 ,(1994) , 10.1093/PROTEIN/7.3.385
David E. Clark, Evolutionary Algorithms in Molecular Design John Wiley & Sons, Inc.. ,(1999)
Todd J.A. Ewing, Shingo Makino, A. Geoffrey Skillman, Irwin D. Kuntz, DOCK 4.0: Search strategies for automated molecular docking of flexible molecule databases Journal of Computer-aided Molecular Design. ,vol. 15, pp. 411- 428 ,(2001) , 10.1023/A:1011115820450