NDLI: Addressing biological circuit simulation accuracy: Reachability for parameter identification and initial conditions

Content Provider	IEEE Xplore Digital Library
Author	Oishi, M. May, E.
Copyright Year	2007
Description	Author affiliation: British Columbia Univ., Vancouver (Oishi, M.)
Abstract	Accurate simulation of biological networks is difficult not only due to the computational cost associated with large-scale systems simulation, but also due to the inherent limitations of mathematical models. We address two components to improve biological circuit simulation accuracy: 1) feasible initial conditions, and 2) identification of critical yet unknown model parameters. For those parameters that may not be available from experimental data, we incorporate reachability analysis to enhance our optimization/simulation framework and estimate those parameters that are capable of creating behaviors consistent with known experimental data. We apply these techniques to a biological circuit model of tryptophan biosynthesis in E. coli, and quantify the improvement in simulation accuracy when reachability analysis is used.
Starting Page	152
Ending Page	155
File Size	214057
Page Count	4
File Format	PDF
ISBN	9781424418121
DOI	10.1109/LSSA.2007.4400907
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-11-08
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Circuit simulation Parameter estimation Biological system modeling Computational modeling Reachability analysis Analytical models Computational efficiency Large-scale systems Mathematical model Amino acids parameter identification hybrid systems reachability biological circuits tryptophan Escherichia coli
Content Type	Text
Resource Type	Article

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