|
Descripción
|
|
|---|---|
| n 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. | |
|
Internacional
|
Si |
|
Nombre congreso
|
Unconventional Computation and Natural Computation |
|
Tipo de participación
|
960 |
|
Lugar del congreso
|
Milán, Italia |
|
Revisores
|
Si |
|
ISBN o ISSN
|
978-3-642-39073-9 |
|
DOI
|
10.1007/978-3-642-39074-6_28 |
|
Fecha inicio congreso
|
01/07/2013 |
|
Fecha fin congreso
|
05/07/2013 |
|
Desde la página
|
255 |
|
Hasta la página
|
256 |
|
Título de las actas
|
Unconventional Computation and Natural Computation - Lecture Notes in Computer Science |