Design of artificial genetic regulatory networks with multiple delayed adaptive responses*
- Autores
- Kaluza, Pablo Federico; Inoue, Masayo
- Año de publicación
- 2016
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- Genetic regulatory networks with adaptive responses are widely studied in biology. Usually, models consisting only of a few nodes have been considered. They present one input receptor for activation and one output node where the adaptive response is computed. In this work, we design genetic regulatory networks with many receptors and many output nodes able to produce delayed adaptive responses. This design is performed by using an evolutionary algorithm of mutations and selections that minimizes an error function defined by the adaptive response in signal shapes. We present several examples of network constructions with a predefined required set of adaptive delayed responses. We show that an output node can have different kinds of responses as a function of the activated receptor. Additionally, complex network structures are presented since processing nodes can be involved in several input-output pathways.
Fil: Kaluza, Pablo Federico. Universidad Nacional de Cuyo. Facultad de Ciencias Exactas y Naturales; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mendoza; Argentina
Fil: Inoue, Masayo. National Institute of Advanced Industrial Science and Technology; Japón. Universidad de Osaka; Japón - Materia
- STATISTICAL AND NONLINEAR PHYSICS
- Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- https://creativecommons.org/licenses/by/2.5/ar/
- Repositorio
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/100237
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Design of artificial genetic regulatory networks with multiple delayed adaptive responses*Kaluza, Pablo FedericoInoue, MasayoSTATISTICAL AND NONLINEAR PHYSICShttps://purl.org/becyt/ford/1.3https://purl.org/becyt/ford/1Genetic regulatory networks with adaptive responses are widely studied in biology. Usually, models consisting only of a few nodes have been considered. They present one input receptor for activation and one output node where the adaptive response is computed. In this work, we design genetic regulatory networks with many receptors and many output nodes able to produce delayed adaptive responses. This design is performed by using an evolutionary algorithm of mutations and selections that minimizes an error function defined by the adaptive response in signal shapes. We present several examples of network constructions with a predefined required set of adaptive delayed responses. We show that an output node can have different kinds of responses as a function of the activated receptor. Additionally, complex network structures are presented since processing nodes can be involved in several input-output pathways.Fil: Kaluza, Pablo Federico. Universidad Nacional de Cuyo. Facultad de Ciencias Exactas y Naturales; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mendoza; ArgentinaFil: Inoue, Masayo. National Institute of Advanced Industrial Science and Technology; Japón. Universidad de Osaka; JapónSpringer2016-06info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/100237Kaluza, Pablo Federico; Inoue, Masayo; Design of artificial genetic regulatory networks with multiple delayed adaptive responses*; Springer; European Physical Journal B - Condensed Matter; 89; 6; 6-2016; 1-121434-6028CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1140/epjb/e2016-70172-9info:eu-repo/semantics/altIdentifier/url/https://link.springer.com/article/10.1140/epjb/e2016-70172-9info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T09:37:40Zoai:ri.conicet.gov.ar:11336/100237instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-29 09:37:40.462CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse |
dc.title.none.fl_str_mv |
Design of artificial genetic regulatory networks with multiple delayed adaptive responses* |
title |
Design of artificial genetic regulatory networks with multiple delayed adaptive responses* |
spellingShingle |
Design of artificial genetic regulatory networks with multiple delayed adaptive responses* Kaluza, Pablo Federico STATISTICAL AND NONLINEAR PHYSICS |
title_short |
Design of artificial genetic regulatory networks with multiple delayed adaptive responses* |
title_full |
Design of artificial genetic regulatory networks with multiple delayed adaptive responses* |
title_fullStr |
Design of artificial genetic regulatory networks with multiple delayed adaptive responses* |
title_full_unstemmed |
Design of artificial genetic regulatory networks with multiple delayed adaptive responses* |
title_sort |
Design of artificial genetic regulatory networks with multiple delayed adaptive responses* |
dc.creator.none.fl_str_mv |
Kaluza, Pablo Federico Inoue, Masayo |
author |
Kaluza, Pablo Federico |
author_facet |
Kaluza, Pablo Federico Inoue, Masayo |
author_role |
author |
author2 |
Inoue, Masayo |
author2_role |
author |
dc.subject.none.fl_str_mv |
STATISTICAL AND NONLINEAR PHYSICS |
topic |
STATISTICAL AND NONLINEAR PHYSICS |
purl_subject.fl_str_mv |
https://purl.org/becyt/ford/1.3 https://purl.org/becyt/ford/1 |
dc.description.none.fl_txt_mv |
Genetic regulatory networks with adaptive responses are widely studied in biology. Usually, models consisting only of a few nodes have been considered. They present one input receptor for activation and one output node where the adaptive response is computed. In this work, we design genetic regulatory networks with many receptors and many output nodes able to produce delayed adaptive responses. This design is performed by using an evolutionary algorithm of mutations and selections that minimizes an error function defined by the adaptive response in signal shapes. We present several examples of network constructions with a predefined required set of adaptive delayed responses. We show that an output node can have different kinds of responses as a function of the activated receptor. Additionally, complex network structures are presented since processing nodes can be involved in several input-output pathways. Fil: Kaluza, Pablo Federico. Universidad Nacional de Cuyo. Facultad de Ciencias Exactas y Naturales; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mendoza; Argentina Fil: Inoue, Masayo. National Institute of Advanced Industrial Science and Technology; Japón. Universidad de Osaka; Japón |
description |
Genetic regulatory networks with adaptive responses are widely studied in biology. Usually, models consisting only of a few nodes have been considered. They present one input receptor for activation and one output node where the adaptive response is computed. In this work, we design genetic regulatory networks with many receptors and many output nodes able to produce delayed adaptive responses. This design is performed by using an evolutionary algorithm of mutations and selections that minimizes an error function defined by the adaptive response in signal shapes. We present several examples of network constructions with a predefined required set of adaptive delayed responses. We show that an output node can have different kinds of responses as a function of the activated receptor. Additionally, complex network structures are presented since processing nodes can be involved in several input-output pathways. |
publishDate |
2016 |
dc.date.none.fl_str_mv |
2016-06 |
dc.type.none.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion http://purl.org/coar/resource_type/c_6501 info:ar-repo/semantics/articulo |
format |
article |
status_str |
publishedVersion |
dc.identifier.none.fl_str_mv |
http://hdl.handle.net/11336/100237 Kaluza, Pablo Federico; Inoue, Masayo; Design of artificial genetic regulatory networks with multiple delayed adaptive responses*; Springer; European Physical Journal B - Condensed Matter; 89; 6; 6-2016; 1-12 1434-6028 CONICET Digital CONICET |
url |
http://hdl.handle.net/11336/100237 |
identifier_str_mv |
Kaluza, Pablo Federico; Inoue, Masayo; Design of artificial genetic regulatory networks with multiple delayed adaptive responses*; Springer; European Physical Journal B - Condensed Matter; 89; 6; 6-2016; 1-12 1434-6028 CONICET Digital CONICET |
dc.language.none.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
info:eu-repo/semantics/altIdentifier/doi/10.1140/epjb/e2016-70172-9 info:eu-repo/semantics/altIdentifier/url/https://link.springer.com/article/10.1140/epjb/e2016-70172-9 |
dc.rights.none.fl_str_mv |
info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/2.5/ar/ |
eu_rights_str_mv |
openAccess |
rights_invalid_str_mv |
https://creativecommons.org/licenses/by/2.5/ar/ |
dc.format.none.fl_str_mv |
application/pdf application/pdf |
dc.publisher.none.fl_str_mv |
Springer |
publisher.none.fl_str_mv |
Springer |
dc.source.none.fl_str_mv |
reponame:CONICET Digital (CONICET) instname:Consejo Nacional de Investigaciones Científicas y Técnicas |
reponame_str |
CONICET Digital (CONICET) |
collection |
CONICET Digital (CONICET) |
instname_str |
Consejo Nacional de Investigaciones Científicas y Técnicas |
repository.name.fl_str_mv |
CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas |
repository.mail.fl_str_mv |
dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar |
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1844613187381493760 |
score |
13.070432 |