Efficient design of synthetic gene circuits under cell-to-cell variability.

ABSTRACT:

Background

Synthetic biologists use and combine diverse biological parts to build systems such as genetic circuits that perform desirable functions in, for example, biomedical or industrial applications. Computer-aided design methods have been developed to help choose appropriate network structures and biological parts for a given design objective. However, they almost always model the behavior of the network in an average cell, despite pervasive cell-to-cell variability.

Results

Here, we present a computational framework and an efficient algorithm to guide the design of synthetic biological circuits while accounting for cell-to-cell variability explicitly. Our design method integrates a Non-linear Mixed-Effects (NLME) framework into a Markov Chain Monte-Carlo (MCMC) algorit

SUBMITTER: Turpin B 

PROVIDER: S-EPMC10701960 | biostudies-literature | 2023 Dec

REPOSITORIES: biostudies-literature