Literature DB >> 19929830

The role of water molecules in computational drug design.

Stephanie B A de Beer1, Nico P E Vermeulen, Chris Oostenbrink.   

Abstract

Although water molecules are small and only consist of two different atom types, they play various roles in cellular systems. This review discusses their influence on the binding process between biomacromolecular targets and small molecule ligands and how this influence can be modeled in computational drug design approaches. Both the structure and the thermodynamics of active site waters will be discussed as these influence the binding process significantly. Structurally conserved waters cannot always be determined experimentally and if observed, it is not clear if they will be replaced upon ligand binding, even if sufficient space is available. Methods to predict the presence of water in protein-ligand complexes will be reviewed. Subsequently, we will discuss methods to include water in computational drug research. Either as an additional factor in automated docking experiments, or explicitly in detailed molecular dynamics simulations, the effect of water on the quality of the simulations is significant, but not easily predicted. The most detailed calculations involve estimates of the free energy contribution of water molecules to protein-ligand complexes. These calculations are computationally demanding, but give insight in the versatility and importance of water in ligand binding.

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Year:  2010        PMID: 19929830     DOI: 10.2174/156802610790232288

Source DB:  PubMed          Journal:  Curr Top Med Chem        ISSN: 1568-0266            Impact factor:   3.295


  47 in total

1.  A force field with discrete displaceable waters and desolvation entropy for hydrated ligand docking.

Authors:  Stefano Forli; Arthur J Olson
Journal:  J Med Chem       Date:  2012-01-13       Impact factor: 7.446

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

Review 3.  Computational methods in drug discovery.

Authors:  Gregory Sliwoski; Sandeepkumar Kothiwale; Jens Meiler; Edward W Lowe
Journal:  Pharmacol Rev       Date:  2013-12-31       Impact factor: 25.468

4.  Enthalpic Breakdown of Water Structure on Protein Active-Site Surfaces.

Authors:  Kamran Haider; Lauren Wickstrom; Steven Ramsey; Michael K Gilson; Tom Kurtzman
Journal:  J Phys Chem B       Date:  2016-06-02       Impact factor: 2.991

5.  WATsite: hydration site prediction program with PyMOL interface.

Authors:  Bingjie Hu; Markus A Lill
Journal:  J Comput Chem       Date:  2014-04-22       Impact factor: 3.376

6.  Discovery of thienoquinolone derivatives as selective and ATP non-competitive CDK5/p25 inhibitors by structure-based virtual screening.

Authors:  Arindam Chatterjee; Stephen J Cutler; Robert J Doerksen; Ikhlas A Khan; John S Williamson
Journal:  Bioorg Med Chem       Date:  2014-09-28       Impact factor: 3.641

7.  Protein and ligand preparation: parameters, protocols, and influence on virtual screening enrichments.

Authors:  G Madhavi Sastry; Matvey Adzhigirey; Tyler Day; Ramakrishna Annabhimoju; Woody Sherman
Journal:  J Comput Aided Mol Des       Date:  2013-04-12       Impact factor: 3.686

8.  Effect of explicit water molecules on ligand-binding affinities calculated with the MM/GBSA approach.

Authors:  Paulius Mikulskis; Samuel Genheden; Ulf Ryde
Journal:  J Mol Model       Date:  2014-05-29       Impact factor: 1.810

9.  A combined treatment of hydration and dynamical effects for the modeling of host-guest binding thermodynamics: the SAMPL5 blinded challenge.

Authors:  Rajat Kumar Pal; Kamran Haider; Divya Kaur; William Flynn; Junchao Xia; Ronald M Levy; Tetiana Taran; Lauren Wickstrom; Tom Kurtzman; Emilio Gallicchio
Journal:  J Comput Aided Mol Des       Date:  2016-09-30       Impact factor: 3.686

10.  Structure-based predictions of activity cliffs.

Authors:  Jarmila Husby; Giovanni Bottegoni; Irina Kufareva; Ruben Abagyan; Andrea Cavalli
Journal:  J Chem Inf Model       Date:  2015-05-11       Impact factor: 4.956

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