Literature DB >> 16862531

Protein-ligand docking: current status and future challenges.

Sérgio Filipe Sousa1, Pedro Alexandrino Fernandes, Maria João Ramos.   

Abstract

Understanding the ruling principles whereby protein receptors recognize, interact, and associate with molecular substrates and inhibitors is of paramount importance in drug discovery efforts. Protein-ligand docking aims to predict and rank the structure(s) arising from the association between a given ligand and a target protein of known 3D structure. Despite the breathtaking advances in the field over the last decades and the widespread application of docking methods, several downsides still exist. In particular, protein flexibility-a critical aspect for a thorough understanding of the principles that guide ligand binding in proteins-is a major hurdle in current protein-ligand docking efforts that needs to be more efficiently accounted for. In this review the key concepts of protein-ligand docking methods are outlined, with major emphasis being given to the general strengths and weaknesses that presently characterize this methodology. Despite the size of the field, the principal types of search algorithms and scoring functions are reviewed and the most popular docking tools are briefly depicted. Recent advances that aim to address some of the traditional limitations associated with molecular docking are also described. A selection of hand-picked examples is used to illustrate these features. Proteins 2006. (c) 2006 Wiley-Liss, Inc.

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Year:  2006        PMID: 16862531     DOI: 10.1002/prot.21082

Source DB:  PubMed          Journal:  Proteins        ISSN: 0887-3585


  193 in total

1.  Pose prediction and virtual screening performance of GOLD scoring functions in a standardized test.

Authors:  John W Liebeschuetz; Jason C Cole; Oliver Korb
Journal:  J Comput Aided Mol Des       Date:  2012-02-28       Impact factor: 3.686

Review 2.  Flexibility and binding affinity in protein-ligand, protein-protein and multi-component protein interactions: limitations of current computational approaches.

Authors:  Pierre Tuffery; Philippe Derreumaux
Journal:  J R Soc Interface       Date:  2011-10-12       Impact factor: 4.118

3.  Molecular docking simulations for macromolecularly imprinted polymers.

Authors:  David R Kryscio; Yue Shi; Pengyu Ren; Nicholas A Peppas
Journal:  Ind Eng Chem Res       Date:  2011-10-31       Impact factor: 3.720

Review 4.  Substrate tunnels in enzymes: structure-function relationships and computational methodology.

Authors:  Laura J Kingsley; Markus A Lill
Journal:  Proteins       Date:  2015-02-28

Review 5.  Towards the development of universal, fast and highly accurate docking/scoring methods: a long way to go.

Authors:  N Moitessier; P Englebienne; D Lee; J Lawandi; C R Corbeil
Journal:  Br J Pharmacol       Date:  2007-11-26       Impact factor: 8.739

6.  SHEF: a vHTS geometrical filter using coefficients of spherical harmonic molecular surfaces.

Authors:  Wensheng Cai; Jiawei Xu; Xueguang Shao; Vincent Leroux; Alexandre Beautrait; Bernard Maigret
Journal:  J Mol Model       Date:  2008-03-11       Impact factor: 1.810

Review 7.  The application of FAST-NMR for the identification of novel drug discovery targets.

Authors:  Robert Powers; Kelly A Mercier; Jennifer C Copeland
Journal:  Drug Discov Today       Date:  2008-02       Impact factor: 7.851

8.  Recipes for the selection of experimental protein conformations for virtual screening.

Authors:  Manuel Rueda; Giovanni Bottegoni; Ruben Abagyan
Journal:  J Chem Inf Model       Date:  2010-01       Impact factor: 4.956

9.  Docking challenge: protein sampling and molecular docking performance.

Authors:  Khaled M Elokely; Robert J Doerksen
Journal:  J Chem Inf Model       Date:  2013-04-15       Impact factor: 4.956

Review 10.  Nanovehicular intracellular delivery systems.

Authors:  Ales Prokop; Jeffrey M Davidson
Journal:  J Pharm Sci       Date:  2008-09       Impact factor: 3.534

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