Feed Forward Loop Improves the Transient Dynamics of an Antithetic Biological Controller

The ODE-based models were constructed for each antithetic controller design and solved utilizing the MATLAB ode23s solver. These models accounted for species interactions involving activation, degradation, sequestration, and repression, with kinetic parameters derived from established literature in the field. The sensitivity analysis was executed by systematically altering all kinetic parameters within the model. In each simulation, the designated kinetic parameters for each circuit were multiplied by a "scaling factor," spanning from 10-1 to 10.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-12-05
DOI
https://doi.org/10.5281/zenodo.14283933
Citations
1
Primary Topic
Advanced Control Systems Optimization
Type
article
Field-Weighted Citation Impact
0.33
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article

Feed Forward Loop Improves the Transient Dynamics of an Antithetic Biological Controller

1 citations
Zenodo (CERN European Organization for Nuclear Research)
Advanced Control Systems Optimization
0.33
article

Feed Forward Loop Improves the Transient Dynamics of an Antithetic Biological Controller

article en
1 citations

Abstract

The ODE-based models were constructed for each antithetic controller design and solved utilizing the MATLAB ode23s solver. These models accounted for species interactions involving activation, degradation, sequestration, and repression, with kinetic parameters derived from established literature in the field. The sensitivity analysis was executed by systematically altering all kinetic parameters within the model. In each simulation, the designated kinetic parameters for each circuit were multiplied by a "scaling factor," spanning from 10-1 to 10.

Zenodo (CERN European Organization for Nuclear Research)
University of Warwick (GB)
Life in Land
Openalex Percentile: Top 35%
Advanced Control Systems Optimization
0.33
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