Observatorio de I+D+i UPM

Memorias de investigación
Research Publications in journals:
A New Model of Synthetic Genetic Oscillator Based on Trans-Acting Repressor Ribozyme
Year:2009
Research Areas
  • Artificial intelligence
Information
Abstract
We present a new model of synthetic genetic oscillator based on a typical motif with one positive and one negative feedback loop. The repressor is a ribozyme, rather than a protein, which acts post-transcriptionally binding and cleaving to target mRNA. The properties of the ribozyme simplify our genetic oscillator that involves only two genes, one mRNA and one activator protein, apart from the ribozyme. Moreover, the genetic oscillator generates limit cycle oscillations, essential condition for resist the effects of the stochastic fluctuations due to the inherent randomness of the chemical reactions. As example of operation, we have chosen parameter values that produce circadian period in both deterministic and stochastic simulations, and the effects of stochastic fluctuations are quantified by a period histogram and autocorrelation function. Such new biochemical network designs may yield both new behaviors and better understanding of cellular processes.
International
Si
JCR
No
Title
Lecture notes in computer science
ISBN
0302-9743
Impact factor JCR
0
Impact info
Volume
5518
http://dx.doi.org/10.1007/978-3-642-02481-8_177
Journal number
0
From page
1170
To page
1177
Month
JUNIO
Ranking
Participants
  • Autor: Jesús María Miró Bueno (UPM)
  • Autor: Alfonso Vicente Rodriguez-Paton Aradas (UPM)
Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Grupo de Inteligencia Artificial (LIA)
  • Departamento: Inteligencia Artificial
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