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• W2321347863 startingPage "890" @default.
• W2321347863 abstract "In computer-aided biological design, the trifecta of characterized part libraries, accurate models and optimal design parameters is crucial for producing reliable designs. As the number of parts and model complexity increase, however, it becomes exponentially more difficult for any optimization method to search the solution space, hence creating a trade-off that hampers efficient design. To address this issue, we present a hierarchical computer-aided design architecture that uses a two-step approach for biological design. First, a simple model of low computational complexity is used to predict circuit behavior and assess candidate circuit branches through branch-and-bound methods. Then, a complex, nonlinear circuit model is used for a fine-grained search of the reduced solution space, thus achieving more accurate results. Evaluation with a benchmark of 11 circuits and a library of 102 experimental designs with known characterization parameters demonstrates a speed-up of 3 orders of magnitude when compared to other design methods that provide optimality guarantees." @default.
• W2321347863 created "2016-06-24" @default.
• W2321347863 creator A5004351739 @default.
• W2321347863 creator A5005935921 @default.
• W2321347863 date "2015-04-28" @default.
• W2321347863 modified "2023-09-24" @default.
• W2321347863 title "Fast and Accurate Circuit Design Automation through Hierarchical Model Switching" @default.
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• W2321347863 doi "https://doi.org/10.1021/sb500339k" @default.
• W2321347863 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/25916918" @default.
• W2321347863 hasPublicationYear "2015" @default.
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