Optimization-based synthesis of stochastic biocircuits with statistical specifications.

ABSTRACT: Model-guided design has become a standard approach to engineering biomolecular circuits in synthetic biology. However, the stochastic nature of biomolecular reactions is often overlooked in the design process. As a result, cell-cell heterogeneity causes unexpected deviation of biocircuit behaviours from model predictions and requires additional iterations of design-build-test cycles. To enhance the design process of stochastic biocircuits, this paper presents a computational framework to systematically specify the level of intrinsic noise using well-defined metrics of statistics and design highly heterogeneous biocircuits based on the specifications. Specifically, we use descriptive statistics of population distributions as an intuitive specification language of stochastic biocircuits and

SUBMITTER: Sakurai Y 

PROVIDER: S-EPMC5805972 | biostudies-literature | 2018 Jan

REPOSITORIES: biostudies-literature