Imperial College London
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DrThomasOuldridge

Faculty of Engineering, Department of Bioengineering

Reader in Biomolecular Systems
 
 
 
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Contact

 

t.ouldridge Website CV

 
 
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Location

 

4.04Royal School of MinesSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Plesa:2021:10.1098/rsif.2020.0985,
author = {Plesa, T and Stan, G-B and Ouldridge, TE and Bae, W},
doi = {10.1098/rsif.2020.0985},
journal = {Journal of the Royal Society Interface},
pages = {1--14},
title = {Quasi-robust control of biochemical reaction networks via stochastic morphing.},
url = {http://dx.doi.org/10.1098/rsif.2020.0985},
volume = {18},
year = {2021}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - One of the main objectives of synthetic biology is the development of molecular controllers that can manipulate the dynamics of a given biochemical network that is at most partially known. When integrated into smaller compartments, such as living or synthetic cells, controllers have to be calibrated to factor in the intrinsic noise. In this context, biochemical controllers put forward in the literature have focused on manipulating the mean (first moment) and reducing the variance (second moment) of the target molecular species. However, many critical biochemical processes are realized via higher-order moments, particularly the number and configuration of the probability distribution modes (maxima). To bridge the gap, we put forward the stochastic morpher controller that can, under suitable timescale separations, morph the probability distribution of the target molecular species into a predefined form. The morphing can be performed at a lower-resolution, allowing one to achieve desired multi-modality/multi-stability, and at a higher-resolution, allowing one to achieve arbitrary probability distributions. Properties of the controller, such as robustness and convergence, are rigorously established, and demonstrated on various examples. Also proposed is a blueprint for an experimental implementation of stochastic morpher.
AU  - Plesa,T
AU  - Stan,G-B
AU  - Ouldridge,TE
AU  - Bae,W
DO  - 10.1098/rsif.2020.0985
EP  - 14
PY  - 2021///
SN  - 1742-5662
SP  - 1
TI  - Quasi-robust control of biochemical reaction networks via stochastic morphing.
T2  - Journal of the Royal Society Interface
UR  - http://dx.doi.org/10.1098/rsif.2020.0985
UR  - https://www.ncbi.nlm.nih.gov/pubmed/33849334
UR  - https://royalsocietypublishing.org/doi/10.1098/rsif.2020.0985
UR  - http://hdl.handle.net/10044/1/88175
VL  - 18
ER  -
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