Literature DB >> 9034363

Predicting conserved water-mediated and polar ligand interactions in proteins using a K-nearest-neighbors genetic algorithm.

M L Raymer1, P C Sanschagrin, W F Punch, S Venkataraman, E D Goodman, L A Kuhn.   

Abstract

Water-mediated ligand interactions are essential to biological processes, from product displacement in thymidylate synthase to DNA recognition by Trp repressor, yet the structural chemistry influencing whether bound water is displaced or participates in ligand binding is not well characterized. Consolv, employing a hybrid k-nearest-neighbors classifier/genetic algorithm, predicts bound water molecules conserved between free and ligand-bound protein structures by examining the environment of each water molecule in the free structure. Four environmental features are used: the water molecule's crystallographic temperature factor, the number of hydrogen bonds between the water molecule and protein, and the density and hydrophilicity of neighboring protein atoms. After training on 13 non-homologous proteins, Consolv predicted the conservation of active-site water molecules upon ligand binding with 75% accuracy (Matthews coefficient Cm = 0.41) for seven new proteins. Mispredictions typically involved water molecules predicted to be conserved that were displaced by a polar ligand atom, indicating that Consolv correctly assesses polar binding sites; 90% accuracy (Cm = 0.78) was achieved for predicting conserved active-site water or polar ligand atom binding. Consolv thus provides an accurate means for optimizing ligand design by identifying sites favored to be occupied by either a mediating water molecule or a polar ligand atom, as well as water molecules likely to be displaced by the ligand. Accuracy for predicting first-shell water conservation between independently determined structures was 61% (Cm=0.23). The ability to predict water-mediated and polar interactions from the free protein structure indicates the surprising extent to which the conservation or displacement of active-site bound water is independent of the ligand, and shows that the protein micro-environment of each water molecule is the dominant influence.

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Year:  1997        PMID: 9034363     DOI: 10.1006/jmbi.1996.0746

Source DB:  PubMed          Journal:  J Mol Biol        ISSN: 0022-2836            Impact factor:   5.469


  30 in total

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Authors:  G Pujadas; J Palau
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Authors:  Kuang-Hung Pan; Chih-Jian Lih; Stanley N Cohen
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4.  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

5.  The effect of tightly bound water molecules on the structural interpretation of ligand-derived pharmacophore models.

Authors:  David G Lloyd; Alfonso T García-Sosa; Ian L Alberts; Nikolay P Todorov; Ricardo L Manceral
Journal:  J Comput Aided Mol Des       Date:  2004-02       Impact factor: 3.686

6.  Determination of the interfacial water content in protein-protein complexes from free energy simulations.

Authors:  Peter Monecke; Thorsten Borosch; Jürgen Brickmann; Stefan M Kast
Journal:  Biophys J       Date:  2005-11-11       Impact factor: 4.033

7.  StoneHinge: hinge prediction by network analysis of individual protein structures.

Authors:  Kevin S Keating; Samuel C Flores; Mark B Gerstein; Leslie A Kuhn
Journal:  Protein Sci       Date:  2009-02       Impact factor: 6.725

8.  kNNsim: k-nearest neighbors similarity with genetic algorithm features optimization enhances the prediction of activity classes for small molecules.

Authors:  Dariusz Plewczynski
Journal:  J Mol Model       Date:  2008-07-29       Impact factor: 1.810

9.  Role of interfacial water molecules in proline-rich ligand recognition by the Src homology 3 domain of Abl.

Authors:  Andres Palencia; Ana Camara-Artigas; M Teresa Pisabarro; Jose C Martinez; Irene Luque
Journal:  J Biol Chem       Date:  2009-11-10       Impact factor: 5.157

10.  Cluster analysis of consensus water sites in thrombin and trypsin shows conservation between serine proteases and contributions to ligand specificity.

Authors:  P C Sanschagrin; L A Kuhn
Journal:  Protein Sci       Date:  1998-10       Impact factor: 6.725

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