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Simulating Metabolic Processes Using an Architecture Based on Networks of Bio-inspired Processors.
Cita
Gómez Canaval, Sandra María 
ORCID: https://orcid.org/0000-0002-9757-7871, Sánchez Couso, José Ramón ORCID: https://orcid.org/0000-0001-8900-1488 and Arroyo Montoro, Fernando ORCID: https://orcid.org/0000-0002-2364-7312
(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.
ORCID: https://orcid.org/0000-0002-9757-7871, Sánchez Couso, José Ramón ORCID: https://orcid.org/0000-0001-8900-1488 and Arroyo Montoro, Fernando ORCID: https://orcid.org/0000-0002-2364-7312
(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.
Descripción
| Título: | Simulating Metabolic Processes Using an Architecture Based on Networks of Bio-inspired Processors. |
|---|---|
| Autor/es: |
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| Tipo de Documento: | Artículo |
| 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 |
| Fecha: | 2013 |
| ISSN: | 978-3-642-39073-9 |
| Volumen: | 7956 |
| Materias: | |
| ODS: | |
| Escuela: | E.U. de Informática (UPM) [antigua denominación] |
| Departamento: | Lenguajes, Proyectos y Sistemas Informáticos |
| Licencias Creative Commons: | Reconocimiento - Sin obra derivada - No comercial |
Resumen
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.
Más información
| ID de Registro: | 29093 |
|---|---|
| Identificador DC: | https://oa.upm.es/29093/ |
| Identificador OAI: | oai:oa.upm.es:29093 |
| Identificador DOI: | 10.1007/978-3-642-39074-6 |
| URL Oficial: | http://link.springer.com/chapter/10.1007%2F978-3-6... |
| Depositado por: | Memoria Investigacion |
| Depositado el: | 13 Jun 2014 11:56 |
| Ultima Modificación: | 05 Nov 2024 07:18 |
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