Membrane-mediated dimerization of spherocylindrical nanoparticles

Abash Sharma, Yu Zhu, Eric J. Spangler, Jan Michael Y. Carrillo, Mohamed Laradji

Research output: Contribution to journalArticlepeer-review

4 Scopus citations

Abstract

We present a numerical investigation of the modes of adhesion and endocytosis of two spherocylindrical nanoparticles (SCNPs) on planar and tensionless lipid membranes, using systematic molecular dynamics simulations of an implicit-solvent model, with varying values of the SCNPs' adhesion strength and dimensions. We found that at weak values of the adhesion energy per unit of area, ξ, the SCNPs are monomeric and adhere to the membrane in the parallel mode. As ξ is slightly increased, the SCNPs dimerize into wedged dimers, with an obtuse angle between their major axes that decreases with increasing ξ. However, as ξ is further increased, we found that the final adhesion state of the two SCNPs is strongly affected by the initial distance, d0, between their centers of mass, upon their adhesion. Namely, the SCNPs dimerize into wedged dimers, with an acute angle between their major axes, if d0 is relatively small. However, for relatively high d0, they adhere individually to the membrane in the monomeric normal mode. For even higher values of ξ and small values of d0, the SCNPs cluster into tubular dimers. However, they remain monomeric if d0 is high. Finally, the SCNPs endocytose either as a tubular dimer, if d0 is low or as monomers for large d0, with the onset value of ξ of dimeric endocytosis being lower than that of monomeric endocytosis. Dimeric endocytosis requires that the SCNPs adhere simultaneously at nearby locations.

Original languageEnglish
Pages (from-to)1499-1512
Number of pages14
JournalSoft Matter
Volume19
Issue number8
DOIs
StatePublished - Jan 24 2023

Funding

This work was supported by a grant from the National Science Foundation (DMR-1931837). The simulations were performed on computers of the High Performance Computing Facility at the University of Memphis. Portions of the computational aspects of this research were conducted as part of a user project at the Center for Nanophase Materials Sciences (CNMS), which is a US Department of Energy, Office of Science User Facility at Oak Ridge National Laboratory. This research used resources of the Oak Ridge Leadership Computing Facility, which is a DOE Office of Science User Facility supported under Contract DE-AC05-00OR22725. Snapshots in this article were generated using VMD version 1.9.3.54

FundersFunder number
National Science FoundationDMR-1931837
U.S. Department of Energy
Office of ScienceDE-AC05-00OR22725
Oak Ridge National Laboratory

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