We use computational modeling to investigate the assembly thermodynamics of a particle-based model for geometrically frustrated assembly, in which the local packing geometry of subunits is incompatible with uniform, strain-free large-scale assembly. The model considers discrete triangular subunits that drive assembly toward a closed, hexagonal-ordered tubule, but have geometries that locally favor negative Gaussian curvature. We use dynamical Monte Carlo simulations and enhanced sampling methods to compute the free energy landscape and corresponding self-assembly behavior as a function of experimentally accessible parameters that control assembly driving forces and the magnitude of frustration. The results determine the parameter range where finite-temperature self-limiting assembly occurs, in which the equilibrium assembly size distribution is sharply peaked around a well-defined finite size. The simulations also identify two mechanisms by which the system can escape frustration and assemble to unlimited size, and determine the particle-scale properties of subunits that suppress unbounded growth.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10362403PMC
http://dx.doi.org/10.1021/acsnano.2c00865DOI Listing

Publication Analysis

Top Keywords

assembly
7
thermodynamic size
4
size control
4
control curvature-frustrated
4
curvature-frustrated tubules
4
tubules self-limitation
4
self-limitation open
4
open boundaries
4
boundaries computational
4
computational modeling
4

Similar Publications

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!