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An automated model reduction tool to guide the design and analysis of synthetic biological circuits |
Abstract |
We present an automated model reduction al … We present an automated model reduction algorithm that uses quasi-steady state approximation based reduction to minimize the error between the desired outputs. Additionally, the algorithm minimizes the sensitivity of the error with respect to parameters to ensure robust performance of the reduced model in the presence of parametric uncertainties. We develop the theory for this model reduction algorithm and present the implementation of the algorithm that can be used to perform model reduction of given SBML models. To demonstrate the utility of this algorithm, we consider the design of a synthetic biological circuit to control the population density and composition of a consortium consisting of two different cell strains. We show how the model reduction algorithm can be used to guide the design and analysis of this circuit. e the design and analysis of this circuit. +
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Authors | Ayush Pandey, Richard M. Murray + |
Funding | Robust Multi-Layer Control Systems for Cooperative Cellular Behaviors + |
ID | 2019f + |
Source | 2019 International Workshop on Biodesign Automation (IWBDA) + |
Tag | PM19-iwbda + |
Title | An automated model reduction tool to guide the design and analysis of synthetic biological circuits + |
Type | Conference paper + |
Categories | Papers |
Modification date This property is a special property in this wiki.
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17 June 2019 00:13:37 + |
URL This property is a special property in this wiki.
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https://www.biorxiv.org/content/10.1101/640276v1 + |
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An automated model reduction tool to guide the design and analysis of synthetic biological circuits + | Title |
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