Literature DB >> 27782650

Accelerating potential of mean force calculations for lipid membrane permeation: System size, reaction coordinate, solute-solute distance, and cutoffs.

Naomi Nitschke1, Kalina Atkovska1, Jochen S Hub1.   

Abstract

Molecular dynamics simulations are capable of predicting the permeability of lipid membranes for drug-like solutes, but the calculations have remained prohibitively expensive for high-throughput studies. Here, we analyze simple measures for accelerating potential of mean force (PMF) calculations of membrane permeation, namely, (i) using smaller simulation systems, (ii) simulating multiple solutes per system, and (iii) using shorter cutoffs for the Lennard-Jones interactions. We find that PMFs for membrane permeation are remarkably robust against alterations of such parameters, suggesting that accurate PMF calculations are possible at strongly reduced computational cost. In addition, we evaluated the influence of the definition of the membrane center of mass (COM), used to define the transmembrane reaction coordinate. Membrane-COM definitions based on all lipid atoms lead to artifacts due to undulations and, consequently, to PMFs dependent on membrane size. In contrast, COM definitions based on a cylinder around the solute lead to size-independent PMFs, down to systems of only 16 lipids per monolayer. In summary, compared to popular setups that simulate a single solute in a membrane of 128 lipids with a Lennard-Jones cutoff of 1.2 nm, the measures applied here yield a speedup in sampling by factor of ∼40, without reducing the accuracy of the calculated PMF.

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Year:  2016        PMID: 27782650     DOI: 10.1063/1.4963192

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


  9 in total

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Review 2.  Molecular Dynamics Simulations of Membrane Permeability.

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7.  Membrane hydrophobicity determines the activation free energy of passive lipid transport.

Authors:  Julia R Rogers; Gustavo Espinoza Garcia; Phillip L Geissler
Journal:  Biophys J       Date:  2021-07-22       Impact factor: 3.699

8.  Refining amino acid hydrophobicity for dynamics simulation of membrane proteins.

Authors:  Ronald D Hills
Journal:  PeerJ       Date:  2018-01-10       Impact factor: 2.984

9.  Membrane-Dependent Binding and Entry Mechanism of Dopamine into Its Receptor.

Authors:  Fabio Lolicato; Hanna Juhola; Agata Zak; Pekka A Postila; Annina Saukko; Sami Rissanen; Giray Enkavi; Ilpo Vattulainen; Mariusz Kepczynski; Tomasz Róg
Journal:  ACS Chem Neurosci       Date:  2020-06-15       Impact factor: 4.418

  9 in total

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