Literature DB >> 19778066

Energetics of displacing water molecules from protein binding sites: consequences for ligand optimization.

Julien Michel1, Julian Tirado-Rives, William L Jorgensen.   

Abstract

A strategy in drug design is to consider enhancing the affinity of lead molecules with structural modifications that displace water molecules from a protein binding site. Because success of the approach is uncertain, clarification of the associated energetics was sought in cases where similar structural modifications yield qualitatively different outcomes. Specifically, free-energy perturbation calculations were carried out in the context of Monte Carlo statistical mechanics simulations to investigate ligand series that feature displacement of ordered water molecules in the binding sites of scytalone dehydratase, p38-alphaMAP kinase, and EGFR kinase. The change in affinity for a ligand modification is found to correlate with the ease of displacement of the ordered water molecule. However, as in the EGFR example, the binding affinity may diminish if the free-energy increase due to the removal of the bound water molecule is not more than compensated by the additional interactions of the water-displacing moiety. For accurate computation of the effects of ligand modifications, a complete thermodynamic analysis is shown to be needed. It requires identification of the location of water molecules in the protein-ligand interface and evaluation of the free-energy changes associated with their removal and with the introduction of the ligand modification. Direct modification of the ligand in free-energy calculations is likely to trap the ordered molecule and provide misleading guidance for lead optimization.

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Year:  2009        PMID: 19778066      PMCID: PMC2783447          DOI: 10.1021/ja906058w

Source DB:  PubMed          Journal:  J Am Chem Soc        ISSN: 0002-7863            Impact factor:   15.419


  47 in total

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Journal:  J Med Chem       Date:  2004-03-25       Impact factor: 7.446

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

Authors:  Peter Monecke; Thorsten Borosch; Jürgen Brickmann; Stefan M Kast
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Review 4.  Molecular modeling of organic and biomolecular systems using BOSS and MCPRO.

Authors:  William L Jorgensen; Julian Tirado-Rives
Journal:  J Comput Chem       Date:  2005-12       Impact factor: 3.376

5.  FEP-guided selection of bicyclic heterocycles in lead optimization for non-nucleoside inhibitors of HIV-1 reverse transcriptase.

Authors:  Joseph T Kim; Andrew D Hamilton; Christopher M Bailey; Robert A Domaoal; Robert A Domoal; Ligong Wang; Karen S Anderson; William L Jorgensen
Journal:  J Am Chem Soc       Date:  2006-12-06       Impact factor: 15.419

6.  Role of the active-site solvent in the thermodynamics of factor Xa ligand binding.

Authors:  Robert Abel; Tom Young; Ramy Farid; Bruce J Berne; Richard A Friesner
Journal:  J Am Chem Soc       Date:  2008-02-12       Impact factor: 15.419

7.  Optimization of azoles as anti-human immunodeficiency virus agents guided by free-energy calculations.

Authors:  Jacob G Zeevaart; Ligong Wang; Vinay V Thakur; Cheryl S Leung; Julian Tirado-Rives; Christopher M Bailey; Robert A Domaoal; Karen S Anderson; William L Jorgensen
Journal:  J Am Chem Soc       Date:  2008-06-28       Impact factor: 15.419

8.  Thermodynamics of buried water clusters at a protein-ligand binding interface.

Authors:  Zheng Li; Themis Lazaridis
Journal:  J Phys Chem B       Date:  2006-01-26       Impact factor: 2.991

9.  Tyrosine kinase inhibitors. 5. Synthesis and structure-activity relationships for 4-[(phenylmethyl)amino]- and 4-(phenylamino)quinazolines as potent adenosine 5'-triphosphate binding site inhibitors of the tyrosine kinase domain of the epidermal growth factor receptor.

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Journal:  J Med Chem       Date:  1995-09-01       Impact factor: 7.446

10.  In Silico Improvement of beta3-peptide inhibitors of p53 x hDM2 and p53 x hDMX.

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Journal:  J Am Chem Soc       Date:  2009-05-13       Impact factor: 15.419

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  70 in total

1.  Effects of Water Placement on Predictions of Binding Affinities for p38α MAP Kinase Inhibitors.

Authors:  James Luccarelli; Julien Michel; Julian Tirado-Rives; William L Jorgensen
Journal:  J Chem Theory Comput       Date:  2010-01-01       Impact factor: 6.006

2.  On achieving high accuracy and reliability in the calculation of relative protein-ligand binding affinities.

Authors:  Lingle Wang; B J Berne; Richard A Friesner
Journal:  Proc Natl Acad Sci U S A       Date:  2012-01-23       Impact factor: 11.205

3.  Predictions of hydration free energies from continuum solvent with solute polarizable models: the SAMPL2 blind challenge.

Authors:  Alexandre Meunier; Jean-François Truchon
Journal:  J Comput Aided Mol Des       Date:  2010-03-31       Impact factor: 3.686

Review 4.  Prediction of protein-ligand binding affinity by free energy simulations: assumptions, pitfalls and expectations.

Authors:  Julien Michel; Jonathan W Essex
Journal:  J Comput Aided Mol Des       Date:  2010-05-28       Impact factor: 3.686

5.  Rapid estimation of hydration thermodynamics of macromolecular regions.

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Journal:  J Chem Phys       Date:  2013-08-07       Impact factor: 3.488

6.  An NMR strategy to detect conformational differences in a protein complexed with highly analogous inhibitors in solution.

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Journal:  Methods       Date:  2018-04-12       Impact factor: 3.608

7.  Dowser++, a new method of hydrating protein structures.

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Journal:  Proteins       Date:  2016-07-05

8.  Rational Tuning of Visual Cycle Modulator Pharmacodynamics.

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Journal:  J Pharmacol Exp Ther       Date:  2017-05-05       Impact factor: 4.030

9.  Free enthalpies of replacing water molecules in protein binding pockets.

Authors:  Sereina Riniker; Luzi J Barandun; François Diederich; Oliver Krämer; Andreas Steffen; Wilfred F van Gunsteren
Journal:  J Comput Aided Mol Des       Date:  2012-12-18       Impact factor: 3.686

10.  Virtual screening and optimization yield low-nanomolar inhibitors of the tautomerase activity of Plasmodium falciparum macrophage migration inhibitory factor.

Authors:  Markus K Dahlgren; Alvaro Baeza Garcia; Alissa A Hare; Julian Tirado-Rives; Lin Leng; Richard Bucala; William L Jorgensen
Journal:  J Med Chem       Date:  2012-10-26       Impact factor: 7.446

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