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Molecular filters for noise reduction

Abstract:

Living systems are inherently stochastic and operate in a noisy environment, yet despite all these uncertainties, they perform their functions in a surprisingly reliable way. The biochemical mechanisms used by natural systems to tolerate and control noise are still not fully understood, and this issue also limits our capacity to engineer reliable, quantitative synthetic biological circuits. We study how representative models of biochemical systems propagate and attenuate noise, accounting for...

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Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1016/j.bpj.2018.05.009

Authors


More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Computer Science
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MPLS Division
Department:
Computer Science
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MPLS Division
Department:
Computer Science
Oxford college:
St Anne's College
Role:
Author
ORCID:
0000-0002-8705-8488
More from this funder
Name:
Royal Society
Funding agency for:
Cardelli, L
Grant:
Professorship RP120138
Publisher:
Cell Press
Journal:
Biophysical Journal More from this journal
Volume:
114
Issue:
12
Pages:
3000-3011
Publication date:
2018-06-19
Acceptance date:
2018-05-04
DOI:
ISSN:
0006-3495
Pubs id:
pubs:849198
UUID:
uuid:e8cde597-ab42-44fe-8166-5466854e020b
Local pid:
pubs:849198
Source identifiers:
849198
Deposit date:
2018-05-19

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