Observatorio de I+D+i UPM

Memorias de investigación
Research Publications in journals:
Biocircuit design through engineering bacterial logic gates. Natural Computing
Year:2011
Research Areas
  • Engineering
Information
Abstract
Designing synthetic biocircuits to perform desired purposes is a scientific field that has exponentially grown over the past decade. The advances in genome sequencing, bacteria gene regulatory networks, as well as the further knowledge of intraspecies bacterial communication through quorum sensing signals are the starting point for this work. Although biocircuits are mostly developed in a single cell, here we propose a model in which every bacterium is considered to be a single logic gate and chemical cell-to-cell connections are engineered to control circuit function. Having one genetically modified bacterial strain per logic process would allow us to develop circuits with different behaviors by mixing the populations instead of re-programming the whole genetic network within a single strain. Two principal advantages of this procedure are highlighted. First, the fully connected circuits obtained where every cellgate is able to communicate with all the rest. Second, the resistance to the noise produced by inappropriate gene expression. This last goal is achieved by modeling thresholds for input signals. Thus, if the concentration of input does not exceed the threshold, it is ignored by the logic function of the gate.
International
Si
JCR
Si
Title
Natural Computing
ISBN
1567-7818
Impact factor JCR
Impact info
Volume
10.1007/s11047-010-9184-2
Journal number
10
From page
119
To page
127
Month
MARZO
Ranking
Cuartil Q2
Participants
  • Autor: Fernando Arroyo Montoro (UPM)
  • Autor: Juan Bautista Castellanos Peñuela (UPM)
  • Autor: Angel Goñi Moreno
  • Autor: Miguel Redondo Nieto (Depto. Biolog¿¿a, Facultad de Ciencias, Universidad Autónoma de Madrid)
Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Grupo de Computación Natural
  • Departamento: Lenguajes, Proyectos y Sistemas Informáticos
  • Departamento: Inteligencia Artificial
S2i 2019 Observatorio de investigación @ UPM con la colaboración del Consejo Social UPM
Cofinanciación del MINECO en el marco del Programa INNCIDE 2011 (OTR-2011-0236)
Cofinanciación del MINECO en el marco del Programa INNPACTO (IPT-020000-2010-22)