Computational limits to binary genes

Zabet, Nicolae Radu and Chu, Dominique (2010) Computational limits to binary genes. Journal of the Royal Society, Interface, 7 . pp. 182-196. ISSN 1742-5689. (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided)

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Official URL
http://dx.doi.org/10.1098/rsif.2009.0474

Abstract

We analyse the trade-off between the speed with which a gene can propagate information, the noise of its output and its metabolic cost. Our main finding is that for any given level of metabolic cost there is an optimal trade-off between noise and processing speed. Any system with a non-vanishing leak expression rate is suboptimal, i.e. it will exhibit higher noise and/or slower speed than leak-free systems with the same metabolic cost. We also show that there is an optimal Hill coefficient h which minimizes noise and metabolic cost at fixed speeds, and an optimal threshold K which minimizes noise.

Item Type: Article
Uncontrolled keywords: determinacy analysis, Craig interpolants
Subjects: Q Science > QA Mathematics (inc Computing science) > QA 76 Software, computer programming,
Divisions: Faculties > Science Technology and Medical Studies > School of Computing > Computational Intelligence Group
Depositing User: Dominique Chu
Date Deposited: 21 Sep 2012 09:49
Last Modified: 28 Apr 2014 13:54
Resource URI: https://kar.kent.ac.uk/id/eprint/30663 (The current URI for this page, for reference purposes)
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