Influence of surface interactions on folding and forced unbinding of semiflexible chains
V. Barsegov, D. Thirumalai
Abstract
We investigate the folding and forced-unbinding transitions of adsorbed semiflexible polymer chains using theory and simulations. These processes describe biologically relevant phenomena that include adhesive interactions between proteins and tethering of receptors to cell walls. The binding interface is modeled as a solid surface and the worm-like chain is used for the semiflexible chain. Using Langevin simulations we examine the ordering kinetics of racquet-like and toroidal structures in the presence of attractive interaction between the surface and the polymer chain. For a range of interactions, temperature, and the persistence length lp we obtained the monomer density distribution n(x) for all the relevant morphologies. The simulated results for n(x) are in good agreement with theory. The formation of toroids on the surface appears to be a first order transition. Chain-surface interaction is probed by subjecting the surface structures to a pulling force f. The average extension x as a function of f exhibit sigmoidal profile with sharp all-or-none transition at the unfolding fc which increases for more structured states. Simulated x compare well with the theoretical predictions. The critical force fc is a function of ls/lc for a fixed temperature, where lc, ls are the length scales that express the strength of the intramolecular and chain-surface attraction, respectively. For a fixed ls, fc increases as lp decreases.
Create a lesson
Related papers
Active Sculpting: morphodynamics of internally stirred active vesicles
Devadevan M M, Brato Chakrabarti
Emergent medium-range order in amorphous silicon
Zhen Zhang, Stephen R. Elliott, Yujie Wang et al.
Complex pattern in periodically driven binary Quincke colloids
Chuan Yu Zhang, Mu Yue Zhao, Xiao Yi Zhou et al.
Why shaking faster does not untangle: frequency-selective extraction of filaments from tangled matter
Ishant Tiwari, Sutikshan Bansal, Rosalind Huang et al.
Geometry-Encoded Hidden Orientational Memory
Vladimir A. Baulin
Curie-Weiss cell fluid model: Fitting to experimental critical-point data
I. V. Pylyuk, O. A. Dobush, M. P. Kozlovskii et al.