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Energy-Driven Undocking (EDU-HREM) in Solute Tempering Replica Exchange Simulations

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Dipartimento di Chimica, Università di Firenze, Via della Lastruccia 3, I-50019 Sesto Fiorentino, Italy
Centro Nacional de Investigaciones Oncologicas, Calle de Melchor Fernández Almagro, 3, E-28029 Madrid, Spain
Cite this: J. Chem. Theory Comput. 2014, 10, 1, 439–450
Publication Date (Web):November 15, 2013
https://doi.org/10.1021/ct400809n
Copyright © 2013 American Chemical Society

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    Abstract

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    We present a new computational strategy for calculating the absolute binding free energy for protein ligand association in the context of atomistic simulation in explicit solvent. The method is based on an appropriate definition of a solute tempering scheme enforced via Hamilton replica exchange method (HREM). The definition of “solute” includes both the ligand and the active site, with the remainder of the systems defined as “solvent”. The hydrophilicity of the solute and the solute torsional plus nonbonded intrasolute interactions are increased and decreased, respectively, along the replica progression, thus favoring the extrusion of the drug form the active site in the scaled states of the generalized ensemble. The proposed technique, named “Energy Driven Undocking” (EDU-HREM), completely bypasses the need for defining and/or identifying the relevant reaction coordinates in a ligand receptor interactions and allows the calculation of the absolute binding free energy in one single generalized simulation of the drug-receptor system. The methodology is applied, with encouraging results, to the calculation of the absolute binding free energy of some FK506-related ligands of the peptidyl prolyl cistrans isomerase protein (FKBP12) with known dissociation constants. Aspects of the binding/inhibition mechanism in FKBP12 are also analyzed and discussed.

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    Cited By

    This article is cited by 12 publications.

    1. Edoardo Giovannelli, Piero Procacci, Gianni Cardini, Marco Pagliai, Victor Volkov, and Riccardo Chelli . Binding Free Energies of Host–Guest Systems by Nonequilibrium Alchemical Simulations with Constrained Dynamics: Theoretical Framework. Journal of Chemical Theory and Computation 2017, 13 (12) , 5874-5886. https://doi.org/10.1021/acs.jctc.7b00594
    2. Ulrich Weininger, Kristofer Modig, Anne-Juliane Geitner, Philipp A. M. Schmidpeter, Johanna R. Koch, and Mikael Akke . Dynamics of Aromatic Side Chains in the Active Site of FKBP12. Biochemistry 2017, 56 (1) , 334-343. https://doi.org/10.1021/acs.biochem.6b01157
    3. Piero Procacci . Hybrid MPI/OpenMP Implementation of the ORAC Molecular Dynamics Program for Generalized Ensemble and Fast Switching Alchemical Simulations. Journal of Chemical Information and Modeling 2016, 56 (6) , 1117-1121. https://doi.org/10.1021/acs.jcim.6b00151
    4. Marco De Vivo, Matteo Masetti, Giovanni Bottegoni, and Andrea Cavalli . Role of Molecular Dynamics and Related Methods in Drug Discovery. Journal of Medicinal Chemistry 2016, 59 (9) , 4035-4061. https://doi.org/10.1021/acs.jmedchem.5b01684
    5. Robert B. Sandberg, Martina Banchelli, Carlo Guardiani, Stefano Menichetti, Gabriella Caminati, and Piero Procacci . Efficient Nonequilibrium Method for Binding Free Energy Calculations in Molecular Dynamics Simulations. Journal of Chemical Theory and Computation 2015, 11 (2) , 423-435. https://doi.org/10.1021/ct500964e
    6. Piero Procacci, Massimiliano Guarrasi, Guido Guarnieri. SAMPL6 host–guest blind predictions using a non equilibrium alchemical approach. Journal of Computer-Aided Molecular Design 2018, 32 (10) , 965-982. https://doi.org/10.1007/s10822-018-0151-9
    7. Chiara Cardelli, Alessandro Barducci, Piero Procacci. Lipid tempering simulation of model biological membranes on parallel platforms. Biochimica et Biophysica Acta (BBA) - Biomembranes 2018, 1860 (7) , 1480-1488. https://doi.org/10.1016/j.bbamem.2018.04.013
    8. Denise Kilburg, Emilio Gallicchio. Assessment of a Single Decoupling Alchemical Approach for the Calculation of the Absolute Binding Free Energies of Protein-Peptide Complexes. Frontiers in Molecular Biosciences 2018, 5 https://doi.org/10.3389/fmolb.2018.00022
    9. Piero Procacci. Alchemical determination of drug-receptor binding free energy: Where we stand and where we could move to. Journal of Molecular Graphics and Modelling 2017, 71 , 233-241. https://doi.org/10.1016/j.jmgm.2016.11.018
    10. Yee Siew Choong, Roy Lee Yung-Hung. A general overview on outer membrane protein (Omp) simulations. Journal of Computational Science 2016, 17 , 285-291. https://doi.org/10.1016/j.jocs.2016.03.008
    11. Piero Procacci. I. Dissociation free energies of drug–receptor systems via non-equilibrium alchemical simulations: a theoretical framework. Physical Chemistry Chemical Physics 2016, 18 (22) , 14991-15004. https://doi.org/10.1039/C5CP05519A
    12. Francesca Nerattini, Riccardo Chelli, Piero Procacci. II. Dissociation free energies in drug–receptor systems via nonequilibrium alchemical simulations: application to the FK506-related immunophilin ligands. Physical Chemistry Chemical Physics 2016, 18 (22) , 15005-15018. https://doi.org/10.1039/C5CP05521K

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