Automated Design of Robust Genetic Circuits: Structural Variants and Parameter Uncertainty
Tobias Schladt, Nicolai Engelmann, Erik Kubaczka, Christian Hochberger, Heinz Koeppl
Abstract
(6281), DOI: 10.1126/science.aac7341). Across this set of functions, 32 of them can be improved by simply considering structural variants yielding performance gains of up to 7.9-fold, whereas 22 of them can be improved with gains up to 26-fold when selecting circuits according to the novel robustness score. We furthermore report on the synergistic combination of the two proposed improvements.
Topics & Concepts
Robustness (evolution)Computer scienceCombinational logicParametric statisticsElectronic circuitElectronic design automationBoolean circuitSynthetic biologyAlgorithmLogic gateAutomationComputer engineeringMathematicsEngineeringBioinformaticsEmbedded systemChemistryElectrical engineeringMechanical engineeringBiologyStatisticsGeneBiochemistryEvolutionary Algorithms and ApplicationsGene Regulatory Network AnalysisRNA and protein synthesis mechanisms