文章基本信息

标题：Multi-objective design of synthetic biological circuits * * This publication is supported by the Swiss National Science Foundation as part of the NCCR Molecular Systems Engineering.
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作者：Claude Lormeau ; Mikołaj Rybiński ; Jörg Stelling 等
期刊名称：IFAC PapersOnLine
印刷版ISSN：2405-8963
出版年度：2017
卷号：50
期号：1
页码：9871-9876
DOI：10.1016/j.ifacol.2017.08.1601
语种：English
出版社：Elsevier
摘要：AbstractComputational methods enable the design of synthetic biological circuits demonstrating a specific dynamic behavior. Current methods are based on the assembly of parts characterized in different contexts, which often fail to operate as predicted when combined. Here we introduce a circuit design method that compensates for parts uncertainty by identifying circuit topologies whose behavior is robust to variations in parameters. Our heuristic topological filtering approach efficiently yields robust circuit designs in a Bayesian framework, and enables to reliably assess trade-offs between performance, robustness, and experimental feasibility, thus increasing the probability of success of circuit implementation.
关键词：KeywordsSynthetic biologyBiocyberneticsMultiobjective optimisationsComputer-aided circuit designRobustness