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Rapid Alchemical Free Energy Calculation Employing a Generalized Born Implicit Solvent Model
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    Rapid Alchemical Free Energy Calculation Employing a Generalized Born Implicit Solvent Model
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    Physik-Department T38, Technische Universität München, Garching, Germany
    *E-mail: [email protected]. Phone: +49-89-289-12335. Fax: +49-89-289-12444.
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    The Journal of Physical Chemistry B

    Cite this: J. Phys. Chem. B 2015, 119, 3, 968–975
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    https://doi.org/10.1021/jp506367y
    Published August 27, 2014
    Copyright © 2014 American Chemical Society

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    Generalized Born (GB) implicit solvent models are typically used in postprocessing of molecular dynamics trajectories obtained from explicit solvent simulations to estimate binding free energies or effects of mutations in proteins. The possibility to employ a GB implicit solvent model for the calculation of rigorous free energy changes associated with alchemical transformations has been explored. During free energy perturbation (FEP) simulations, Lennard-Jones, Coulomb, and Born radii parameters are transformed gradually in a single-topology series. The FEP calculations are embedded in a replica exchange scheme allowing rapid convergence. The method was tested on the calculation of relative hydration free energies, relative binding free energies of a ligand–receptor system, and in silico alanine scanning of a peptide–protein complex. In all cases, good agreement with available experimental data was obtained. On medium sized protein–ligand systems and using a cluster of graphical processing units, the approach allows the calculation of relative free energy changes associated with a chemical modification of a binding partner within a few minutes of computer time and opens the possibility for systematic in silico studies.

    Copyright © 2014 American Chemical Society

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    This article is cited by 7 publications.

    1. Zoe Cournia Christophe Chipot Benoît Roux Darrin M. York Woody Sherman . Free Energy Methods in Drug Discovery—Introduction. , 1-38. https://doi.org/10.1021/bk-2021-1397.ch001
    2. Hui Liu, Fu Chen, Huiyong Sun, Dan Li, and Tingjun Hou . Improving the Efficiency of Non-equilibrium Sampling in the Aqueous Environment via Implicit-Solvent Simulations. Journal of Chemical Theory and Computation 2017, 13 (4) , 1827-1836. https://doi.org/10.1021/acs.jctc.6b01139
    3. Changjun Chen . Calculation of the Local Free Energy Landscape in the Restricted Region by the Modified Tomographic Method. The Journal of Physical Chemistry B 2016, 120 (12) , 3061-3071. https://doi.org/10.1021/acs.jpcb.5b11892
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    The Journal of Physical Chemistry B

    Cite this: J. Phys. Chem. B 2015, 119, 3, 968–975
    Click to copy citationCitation copied!
    https://doi.org/10.1021/jp506367y
    Published August 27, 2014
    Copyright © 2014 American Chemical Society

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