Literature DB >> 26472364

Calculating the free energy of transfer of small solutes into a model lipid membrane: Comparison between metadynamics and umbrella sampling.

Davide Bochicchio1, Emanuele Panizon1, Riccardo Ferrando1, Luca Monticelli2, Giulia Rossi1.   

Abstract

We compare the performance of two well-established computational algorithms for the calculation of free-energy landscapes of biomolecular systems, umbrella sampling and metadynamics. We look at benchmark systems composed of polyethylene and polypropylene oligomers interacting with lipid (phosphatidylcholine) membranes, aiming at the calculation of the oligomer water-membrane free energy of transfer. We model our test systems at two different levels of description, united-atom and coarse-grained. We provide optimized parameters for the two methods at both resolutions. We devote special attention to the analysis of statistical errors in the two different methods and propose a general procedure for the error estimation in metadynamics simulations. Metadynamics and umbrella sampling yield the same estimates for the water-membrane free energy profile, but metadynamics can be more efficient, providing lower statistical uncertainties within the same simulation time.

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Year:  2015        PMID: 26472364     DOI: 10.1063/1.4932159

Source DB:  PubMed          Journal:  J Chem Phys        ISSN: 0021-9606            Impact factor:   3.488


  11 in total

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5.  Simulation-Based Approaches for Determining Membrane Permeability of Small Compounds.

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6.  Binding Modes of Teixobactin to Lipid II: Molecular Dynamics Study.

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7.  Interaction of hydrophobic polymers with model lipid bilayers.

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Journal:  Sci Rep       Date:  2017-07-25       Impact factor: 4.379

8.  Simulating Protein Mediated Hydrolysis of ATP and Other Nucleoside Triphosphates by Combining QM/MM Molecular Dynamics with Advances in Metadynamics.

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9.  Permeation of Biopolymers Across the Cell Membrane: A Computational Comparative Study on Polylactic Acid and Polyhydroxyalkanoate.

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10.  Membrane-Facilitated Receptor Access and Binding Mechanisms of Long-Acting β2-Adrenergic Receptor Agonists.

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