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
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/100237
Acceder
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network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling 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 Técnicas2025-10-22T11:05:49Zoai: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:34982025-10-22 11:05:49.977CONICET 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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score 13.229304

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