Nonequilibrium Self-Assembly Time Forecasting by the Stochastic Landscape Method.

ABSTRACT: Many biological systems rely on the ability to self-assemble target structures from different molecular building blocks using nonequilibrium drives, stemming, for example, from chemical potential gradients. The complex interactions between the different components give rise to a rugged energy landscape with a plethora of local minima on the dynamic pathway to the target assembly. Exploring a toy physical model of multicomponents nonequilibrium self-assembly, we demonstrate that a segmented description of the system dynamics can be used to provide predictions of the first assembly times. We show that for a wide range of values of the nonequilibrium drive, a log-normal distribution emerges for the first assembly time statistics. Based on data segmentation by a Bayesian estimator of abrupt ch

SUBMITTER: Faran M 

PROVIDER: S-EPMC10350916 | biostudies-literature | 2023 Jul

REPOSITORIES: biostudies-literature