2020
DOI: 10.1039/c9sm01983a
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Pathways connecting two opposed bilayers with a fusion pore: a molecularly-informed phase field approach

Abstract: A phase field model with two phase fields, representing the concentration and the head-tail separation of amphiphilic molecules, respectively, has been constructed using an extension of the Ohta-Kawasaki model (Macromolecules 19, 2621(Macromolecules 19, -2632(Macromolecules 19, (1986). It is shown that this molecularly-informed phase field model is capable of producing various self-assembled amphiphilic aggregates, such as bilayers, vesicles and micelles. Furthermore, pathways connecting two opposed bilayer… Show more

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Cited by 27 publications
(22 citation statements)
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“…To compute the MFEP of stalk formation (Müller et al 2012;Ryham et al 2016;Smirnova et al 2019;Han et al 2020), we employed the string method (Maragliano et al 2006;E et al 2007). We discretize the transformation path into n = 24 replicas for the vesicle and n = 19 for the apposing, planar membranes.…”
Section: Minimum Free-energy Path (Mfep) and String Methodsmentioning
confidence: 99%
“…To compute the MFEP of stalk formation (Müller et al 2012;Ryham et al 2016;Smirnova et al 2019;Han et al 2020), we employed the string method (Maragliano et al 2006;E et al 2007). We discretize the transformation path into n = 24 replicas for the vesicle and n = 19 for the apposing, planar membranes.…”
Section: Minimum Free-energy Path (Mfep) and String Methodsmentioning
confidence: 99%
“…Detailed molecular models build on sophisticated and carefully developed atomistic force fields, and thereby invoke rather few assumptions. By contrast, more coarse-grained models allow access to larger scales (several tens of nanometers and microseconds) and systematic parameter studies, while field-theoretic models that only capture the universal features of lipid architecture, allow straightforward access to free energies [ 109 , 110 ]. Therefore, current molecular models range from chemically realistic representations, like the CHARMM force field [ 111 ], over the coarse-grained MARTINI model [ 112 , 113 ], to top-down, implicit-solvent model [ 114 ] and meshless membrane representation [ 115 ].…”
Section: The Basis Of Mathematical or Computational Models To Undementioning
confidence: 99%
“…Much of the recent success of coarse-grained models stems from the increasing computational power, model developments, e.g., extension of coarse-grained force fields to describe proteins [ 118 ], and advanced simulation [ 119 , 120 ] and free-energy techniques [ 110 , 121 , 122 ]. The latter techniques help to identify pathways and concomitant free-energy barriers, thereby significantly expanding the range of time scales that are accessible to molecular simulation.…”
Section: The Basis Of Mathematical or Computational Models To Undementioning
confidence: 99%
“…For diffusive interface models, the popular one was phase field model that can couple actin flows with physical forces and was applied into a wide range of cell types to investigate migration mechanisms (21)(22)(23). Phase field model has also been applied to study multiple cell motion behaviors such as membrane fusion (24) and cell delamination (25). Although detailed mechanisms for the cytoskeletal mechanics are unknown, many reviews have covered this aspect.…”
Section: Introductionmentioning
confidence: 99%