Song, ShidongMason, Alexander F.Post, Richard A. J.Corato, Marco deMestre, RafaelYewdall, Amy N.Cao, ShoupengHofstad, Remco W. van derSánchez Ordóñez, SamuelAbdelmohsen, Loai K. E. A.Hest, Jan C. M. van2022-01-042022-01-042021-11-252041-1723https://hdl.handle.net/2445/182132Random fluctuations are inherent to all complex molecular systems. Although nature has evolved mechanisms to control stochastic events to achieve the desired biological output, reproducing this in synthetic systems represents a significant challenge. Here we present an artificial platform that enables us to exploit stochasticity to direct motile behavior. We found that enzymes, when confined to the fluidic polymer membrane of a core-shell coacervate, were distributed stochastically in time and space. This resulted in a transient, asymmetric configuration of propulsive units, which imparted motility to such coacervates in presence of substrate. This mechanism was confirmed by stochastic modelling and simulations in silico. Furthermore, we showed that a deeper understanding of the mechanism of stochasticity could be utilized to modulate the motion output. Conceptually, this work represents a leap in design philosophy in the construction of synthetic systems with life-like behaviors.9 p.application/pdfengcc by (c) Song, Shidong et al, 2021http://creativecommons.org/licenses/by/3.0/es/Processos estocàsticsEnzimsStochastic processesEnzymesinfo:eu-repo/semantics/article2022-01-03info:eu-repo/semantics/openAccess654240234824231