Literature DB >> 31799560

Pathways connecting two opposed bilayers with a fusion pore: a molecularly-informed phase field approach.

Yucen Han1, Zirui Xu2, An-Chang Shi3, Lei Zhang4.   

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, 1986, 19, 2621-2632). 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 bilayers with a fusion pore are obtained by using a combination of the phase field model and the string method. Multiple fusion pathways, including a classical pathway and a leaky pathway, have been obtained depending on the initial separation of the two bilayers. The study shed light on the understanding of the membrane fusion pathways and, more importantly, laid a foundation for further investigation of more complex membrane morphologies and transitions.

Year:  2020        PMID: 31799560     DOI: 10.1039/c9sm01983a

Source DB:  PubMed          Journal:  Soft Matter        ISSN: 1744-683X            Impact factor:   3.679


  3 in total

1.  Tuning Cell Motility via Cell Tension with a Mechanochemical Cell Migration Model.

Authors:  Kuan Tao; Jing Wang; Xiangyu Kuang; Weikang Wang; Feng Liu; Lei Zhang
Journal:  Biophys J       Date:  2020-05-04       Impact factor: 4.033

2.  How does curvature affect the free-energy barrier of stalk formation? Small vesicles vs apposing, planar membranes.

Authors:  Y G Smirnova; M Müller
Journal:  Eur Biophys J       Date:  2021-02-06       Impact factor: 1.733

Review 3.  Quantitative Synaptic Biology: A Perspective on Techniques, Numbers and Expectations.

Authors:  Sofiia Reshetniak; Rubén Fernández-Busnadiego; Marcus Müller; Silvio O Rizzoli; Christian Tetzlaff
Journal:  Int J Mol Sci       Date:  2020-10-02       Impact factor: 5.923

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.