Literature DB >> 19722597

Efficient free energy calculations for compounds with multiple stable conformations separated by high energy barriers.

Jozef Hritz1, Chris Oostenbrink.   

Abstract

Compounds with high intramolecular energy barriers represent challenging targets for free energy calculations because of the difficulty to obtain sufficient conformational sampling. Existing approaches are therefore computationally very demanding, thus preventing practical applications for such compounds. We present an enhanced sampling-one step perturbation method (ES-OS) to tackle this problem in a highly efficient way. A single molecular dynamics simulation of a judiciously chosen reference state (using two sets of soft-core interactions) is sufficient to determine conformational distributions of chemically similar compounds and the free energy differences between them. The ES-OS method is applied to a set of five biologically relevant 8-substituted GTP analogs having high energy barriers between the anti and the syn conformations of the base with respect to the ribose part. The reliability of ES-OS is verified by comparing the results to Hamiltonian replica exchange simulations of GTP and 8-Br-GTP and the experimentally determined 3J(C4,H1') coupling constant for GMP in water. Additional simulations in vacuum and octanol allow us to calculate differences in the solvation free energies and in lipophilicities (log P). Free energy contributions from individual conformational regions are also calculated, and their relationship with the overall free energy is derived leading to a set of multiconformational free energy formulas. These relationships are of general applicability and can be used in free energy calculations for a more diverse set of compounds.

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Year:  2009        PMID: 19722597     DOI: 10.1021/jp902968m

Source DB:  PubMed          Journal:  J Phys Chem B        ISSN: 1520-5207            Impact factor:   2.991


  16 in total

1.  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

2.  On the use of one-step perturbation to investigate the dependence of NOE-derived atom-atom distance bound violations of peptides upon a variation of force-field parameters.

Authors:  Zhixiong Lin; Chris Oostenbrink; Wilfred F van Gunsteren
Journal:  Eur Biophys J       Date:  2014-02-07       Impact factor: 1.733

3.  Improved Binding Free Energy Predictions from Single-Reference Thermodynamic Integration Augmented with Hamiltonian Replica Exchange.

Authors:  Ilja V Khavrutskii; Anders Wallqvist
Journal:  J Chem Theory Comput       Date:  2011-09-13       Impact factor: 6.006

4.  Free Energy Perturbation Hamiltonian Replica-Exchange Molecular Dynamics (FEP/H-REMD) for Absolute Ligand Binding Free Energy Calculations.

Authors:  Wei Jiang; Benoît Roux
Journal:  J Chem Theory Comput       Date:  2010-07-01       Impact factor: 6.006

5.  Computing Relative Free Energies of Solvation using Single Reference Thermodynamic Integration Augmented with Hamiltonian Replica Exchange.

Authors:  Ilja V Khavrutskii; Anders Wallqvist
Journal:  J Chem Theory Comput       Date:  2010-11-09       Impact factor: 6.006

6.  Calculations of binding affinity between C8-substituted GTP analogs and the bacterial cell-division protein FtsZ.

Authors:  Jozef Hritz; Tilman Läppchen; Chris Oostenbrink
Journal:  Eur Biophys J       Date:  2010-06-18       Impact factor: 1.733

Review 7.  Advances in all atom sampling methods for modeling protein-ligand binding affinities.

Authors:  Emilio Gallicchio; Ronald M Levy
Journal:  Curr Opin Struct Biol       Date:  2011-02-19       Impact factor: 6.809

8.  Towards automated binding affinity prediction using an iterative linear interaction energy approach.

Authors:  C Ruben Vosmeer; René Pool; Mariël F Van Stee; Lovorka Peric-Hassler; Nico P E Vermeulen; Daan P Geerke
Journal:  Int J Mol Sci       Date:  2014-01-09       Impact factor: 5.923

9.  Linear Interaction Energy Based Prediction of Cytochrome P450 1A2 Binding Affinities with Reliability Estimation.

Authors:  Luigi Capoferri; Marlies C A Verkade-Vreeker; Danny Buitenhuis; Jan N M Commandeur; Manuel Pastor; Nico P E Vermeulen; Daan P Geerke
Journal:  PLoS One       Date:  2015-11-09       Impact factor: 3.240

10.  A systematic framework for molecular dynamics simulations of protein post-translational modifications.

Authors:  Drazen Petrov; Christian Margreitter; Melanie Grandits; Chris Oostenbrink; Bojan Zagrovic
Journal:  PLoS Comput Biol       Date:  2013-07-18       Impact factor: 4.475

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