Literature DB >> 19482409

The HSP90 binding mode of a radicicol-like E-oxime determined by docking, binding free energy estimations, and NMR 15N chemical shifts.

Martin Spichty1, Antoine Taly, Franz Hagn, Horst Kessler, Sofia Barluenga, Nicolas Winssinger, Martin Karplus.   

Abstract

We determine the binding mode of a macrocyclic radicicol-like oxime to yeast HSP90 by combining computer simulations and experimental measurements. We sample the macrocyclic scaffold of the unbound ligand by parallel tempering simulations and dock the most populated conformations to yeast HSP90. Docking poses are then evaluated by the use of binding free energy estimations with the linear interaction energy method. Comparison of QM/MM-calculated NMR chemical shifts with experimental shift data for a selective subset of backbone (15)N provides an additional evaluation criteria. As a final test we check the binding modes against available structure-activity-relationships. We find that the most likely binding mode of the oxime to yeast HSP90 is very similar to the known structure of the radicicol-HSP90 complex.

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Year:  2009        PMID: 19482409      PMCID: PMC2746315          DOI: 10.1016/j.bpc.2009.04.003

Source DB:  PubMed          Journal:  Biophys Chem        ISSN: 0301-4622            Impact factor:   2.352


  31 in total

1.  Binding free energy calculations of galectin-3-ligand interactions.

Authors:  Tarun K Mandal; Chaitali Mukhopadhyay
Journal:  Protein Eng       Date:  2002-12

2.  Binding affinity prediction with different force fields: examination of the linear interaction energy method.

Authors:  Martin Almlöf; Bjørn O Brandsdal; Johan Aqvist
Journal:  J Comput Chem       Date:  2004-07-30       Impact factor: 3.376

3.  Divergent synthesis of a pochonin library targeting HSP90 and in vivo efficacy of an identified inhibitor.

Authors:  Sofia Barluenga; Cuihua Wang; Jean-Gonzague Fontaine; Kaïss Aouadi; Kristin Beebe; Shinji Tsutsumi; Len Neckers; Nicolas Winssinger
Journal:  Angew Chem Int Ed Engl       Date:  2008       Impact factor: 15.336

4.  Predicting binding modes from free energy calculations.

Authors:  Martin Nervall; Peter Hanspers; Jens Carlsson; Lars Boukharta; Johan Aqvist
Journal:  J Med Chem       Date:  2008-04-12       Impact factor: 7.446

Review 5.  Parallel tempering: theory, applications, and new perspectives.

Authors:  David J Earl; Michael W Deem
Journal:  Phys Chem Chem Phys       Date:  2005-12-07       Impact factor: 3.676

6.  Binding affinities for sulfonamide inhibitors with human thrombin using Monte Carlo simulations with a linear response method.

Authors:  D K Jones-Hertzog; W L Jorgensen
Journal:  J Med Chem       Date:  1997-05-09       Impact factor: 7.446

7.  A new method for predicting binding affinity in computer-aided drug design.

Authors:  J Aqvist; C Medina; J E Samuelsson
Journal:  Protein Eng       Date:  1994-03

8.  1H, 13C and 15N chemical shift referencing in biomolecular NMR.

Authors:  D S Wishart; C G Bigam; J Yao; F Abildgaard; H J Dyson; E Oldfield; J L Markley; B D Sykes
Journal:  J Biomol NMR       Date:  1995-09       Impact factor: 2.835

9.  Automated backbone assignment of labeled proteins using the threshold accepting algorithm.

Authors:  M Leutner; R M Gschwind; J Liermann; C Schwarz; G Gemmecker; H Kessler
Journal:  J Biomol NMR       Date:  1998-01       Impact factor: 2.835

Review 10.  The clinical applications of heat shock protein inhibitors in cancer - present and future.

Authors:  Udai Banerji; Ian Judson; Paul Workman
Journal:  Curr Cancer Drug Targets       Date:  2003-10       Impact factor: 3.428

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  2 in total

1.  Evaluation of several two-step scoring functions based on linear interaction energy, effective ligand size, and empirical pair potentials for prediction of protein-ligand binding geometry and free energy.

Authors:  Obaidur Rahaman; Trilce P Estrada; Douglas J Doren; Michela Taufer; Charles L Brooks; Roger S Armen
Journal:  J Chem Inf Model       Date:  2011-06-06       Impact factor: 4.956

2.  Inhibition of HSP90 with pochoximes: SAR and structure-based insights.

Authors:  Sofia Barluenga; Jean-Gonzague Fontaine; Cuihua Wang; Kais Aouadi; Ruihong Chen; Kristin Beebe; Len Neckers; Nicolas Winssinger
Journal:  Chembiochem       Date:  2009-11-23       Impact factor: 3.164

  2 in total

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