Optimization-based synthesis of stochastic biocircuits with statistical specifications

Yuta Sakurai, Yutaka Hori

研究成果: Article査読

20 被引用数 (Scopus)


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 usingwell-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 develop an optimization-based computational tool that explores parameter configurations satisfying design requirements. Sensitivity analysis methods are also performed to ensure the robustness of a biocircuit design against extrinsic perturbations. These design tools are formulated with convex optimization programs to enable rigorous and efficient quantification of the statistics. We demonstrate these features by designing a stochastic negative feedback biocircuit that satisfies multiple statistical constraints and perform an in-depth study of noise propagation and regulation in negative feedback pathways.

ジャーナルJournal of the Royal Society Interface
出版ステータスPublished - 2018 1月 1

ASJC Scopus subject areas

  • バイオテクノロジー
  • 生物理学
  • バイオエンジニアリング
  • 生体材料
  • 生化学
  • 生体医工学


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