Simulating Metabolic Processes Using an Architecture Based on Networks of Bio-inspired Processors.

Gomez Canaval, Sandra Maria and Sánchez Couso, José Ramón and Arroyo Montoro, Fernando (2013). Simulating Metabolic Processes Using an Architecture Based on Networks of Bio-inspired Processors.. "Lecture Notes in Computer Science: Unconventional Computation and Natural Computation: 12th International Conference, UCNC 2013, Milan, Italy, July 1-5, 2013. Proceedings", v. 7956 ; pp. 255-256. ISSN 978-3-642-39073-9. https://doi.org/10.1007/978-3-642-39074-6.

Description

Title: Simulating Metabolic Processes Using an Architecture Based on Networks of Bio-inspired Processors.
Author/s:
  • Gomez Canaval, Sandra Maria
  • Sánchez Couso, José Ramón
  • Arroyo Montoro, Fernando
Item Type: Article
Título de Revista/Publicación: Lecture Notes in Computer Science: Unconventional Computation and Natural Computation: 12th International Conference, UCNC 2013, Milan, Italy, July 1-5, 2013. Proceedings
Date: 2013
ISSN: 978-3-642-39073-9
Volume: 7956
Subjects:
Faculty: E.U. de Informática (UPM)
Department: Lenguajes, Proyectos y Sistemas Informáticos
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

In this work, we propose the Networks of Evolutionary Processors (NEP) [2] as a computational model to solve problems related with biological phenomena. In our first approximation, we simulate biological processes related with cellular signaling and their implications in the metabolism, by using an architecture based on NEP (NEP architecture) and their specializations: Networks of Polarized Evolutionary Processors (NPEP) [1] and NEP Transducers (NEPT) [3]. In particular, we use this architecture to simulate the interplay between cellular processes related with the metabolism as the Krebs cycle and the malate-aspartate shuttle pathway (MAS) both being altered by signaling by calcium.

More information

Item ID: 29093
DC Identifier: http://oa.upm.es/29093/
OAI Identifier: oai:oa.upm.es:29093
DOI: 10.1007/978-3-642-39074-6
Official URL: http://link.springer.com/chapter/10.1007%2F978-3-642-39074-6_28
Deposited by: Memoria Investigacion
Deposited on: 13 Jun 2014 11:56
Last Modified: 22 Sep 2014 11:44
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