Literature DB >> 30475366

Adhesion of a polymer-grafted nanoparticle to cells explored using generalized Langevin dynamics.

Yu-Wen Wu1, Hsiu-Yu Yu.   

Abstract

We model a polymer-grafted stealth nanoparticle (SNP) as a composite system consisting of a spherical core coated with a porous polymeric brush with end-ligands. Adjacent to target cells, the near-wall hydrodynamics, thermal fluctuations, and thermodynamic adhesive interactions simultaneously impact the transient motion of the SNP. Employing both the Langevin framework for the effective hard sphere dynamics and the coupled generalized Langevin framework for the nanoparticle-polymer dynamics, we comprehensively investigate the velocity and position temporal relaxations of the SNP in the absence and presence of end-to-end distance fluctuations for the tethered polymer. We demonstrate that polymer structural relaxations substantially impact the SNP adhesive dynamics, especially when the grafted polymer is more flexible. Moreover, a long-time tail with t-3/2 scaling due to polymer chain-length fluctuations is observed in the velocity autocorrelation for a bound SNP. Finally, the thermodynamic effects of membrane morphology on SNP adhesion are explored by modifying the membrane-mediated binding potential of mean force.

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Year:  2018        PMID: 30475366     DOI: 10.1039/c8sm01579a

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


  1 in total

1.  Data-driven molecular modeling with the generalized Langevin equation.

Authors:  Francesca Grogan; Huan Lei; Xiantao Li; Nathan A Baker
Journal:  J Comput Phys       Date:  2020-06-03       Impact factor: 3.553

  1 in total

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