Literature DB >> 10336380

The particle concept: placing discrete water molecules during protein-ligand docking predictions.

M Rarey1, B Kramer, T Lengauer.   

Abstract

Water is known to play a significant role in the formation of protein-ligand complexes. In this paper, we focus on the influence of water molecules on the structure of protein-ligand complexes. We present an algorithmic approach, called the particle concept, for integrating the placement of single water molecules in the docking algorithm of FLEXX. FLEXX is an incremental construction approach to ligand docking consisting of three phases: the selection of base fragments, the placement of the base fragments, and the incremental reconstruction of the ligand inside the active site of a protein. The goal of the extension is to find water molecules at favorable places in the protein-ligand interface which may guide the placement of the ligand. In a preprocessing phase, favorable positions of water molecules inside the active site are calculated and stored in a list of possible water positions. During the incremental construction phase, water molecules are placed at the precomputed positions if they can form additional hydrogen bonds to the ligand. Steric constraints resulting from the water molecules as well as the geometry of the hydrogen bonds are used to optimize the ligand orientation in the active site during the reconstruction process. We have tested the particle concept on a series of 200 protein-ligand complexes. Although the average improvement of the prediction results is minor, we were able to predict water molecules between the protein and the ligand correctly in several cases. For instance in the case of HIV-1 protease, where a single water molecule between the protein and the ligand is known to be of importance in complex formation, significant improvements can be achieved.

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Year:  1999        PMID: 10336380

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


  36 in total

Review 1.  A review of protein-small molecule docking methods.

Authors:  R D Taylor; P J Jewsbury; J W Essex
Journal:  J Comput Aided Mol Des       Date:  2002-03       Impact factor: 3.686

2.  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

3.  Improved ligand-protein binding affinity predictions using multiple binding modes.

Authors:  Eva Stjernschantz; Chris Oostenbrink
Journal:  Biophys J       Date:  2010-06-02       Impact factor: 4.033

4.  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

5.  Molecular dynamics simulations of bovine rhodopsin: influence of protonation states and different membrane-mimicking environments.

Authors:  Birgit Schlegel; Wolfgang Sippl; Hans-Dieter Höltje
Journal:  J Mol Model       Date:  2005-10-25       Impact factor: 1.810

6.  Multiple ligand-binding modes in bacterial R67 dihydrofolate reductase.

Authors:  Hernán Alonso; Malcolm B Gillies; Peter L Cummins; Andrey A Bliznyuk; Jill E Gready
Journal:  J Comput Aided Mol Des       Date:  2005-03       Impact factor: 3.686

7.  The effect of a tightly bound water molecule on scaffold diversity in the computer-aided de novo ligand design of CDK2 inhibitors.

Authors:  Alfonso T García-Sosa; Ricardo L Mancera
Journal:  J Mol Model       Date:  2005-12-23       Impact factor: 1.810

Review 8.  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

9.  Systematic placement of structural water molecules for improved scoring of protein-ligand interactions.

Authors:  David J Huggins; Bruce Tidor
Journal:  Protein Eng Des Sel       Date:  2011-07-19       Impact factor: 1.650

10.  Characterization of small molecule binding. I. Accurate identification of strong inhibitors in virtual screening.

Authors:  Bo Ding; Jian Wang; Nan Li; Wei Wang
Journal:  J Chem Inf Model       Date:  2013-01-09       Impact factor: 4.956

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