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Density-Biased Sampling: A Robust Computational Method for Studying Pore Formation in Membranes
Author(s) -
Vahid Mirjalili,
Michael Feig
Publication year - 2014
Publication title -
journal of chemical theory and computation
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.001
H-Index - 185
eISSN - 1549-9626
pISSN - 1549-9618
DOI - 10.1021/ct5009153
Subject(s) - membrane , umbrella sampling , molecular dynamics , chemical physics , entropy (arrow of time) , reaction coordinate , sampling (signal processing) , mixing (physics) , biological system , statistical physics , materials science , computer science , chemistry , computational chemistry , physics , thermodynamics , biology , biochemistry , filter (signal processing) , quantum mechanics , computer vision
A new reaction coordinate to bias molecular dynamics simulation is described that allows enhanced sampling of density-driven processes, such as mixing and demixing two different molecular species. The methodology is validated by comparing the theoretical entropy of demixing two ideal gas species and then applied to induce deformation and pore formation in phospholipid membranes within an umbrella sampling framework. Comparison with previous biased simulations of membrane pore formation suggests overall quantitative agreement, but the density-based biasing potential results in a different, more realistic transition pathway than that in previous studies.

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