Absolute concentration robustness: Algebra and geometry

Autores
García Puente, Luis David; Gross, Elizabeth; Harrington, Heather A.; Johnston, Matthew; Meshkat, Nicolette; Pérez Millán, Mercedes Soledad; Shiu, Anne
Año de publicación
2025
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Motivated by the question of how biological systems maintain homeostasis in changing environments, Shinar and Feinberg introduced in 2010 the concept of absolute concentration robustness (ACR). A biochemical system exhibits ACR in some species if the steady-state value of that species does not depend on initial conditions. Thus, a system with ACR can maintain a constant level of one species even as the initial condition changes. Despite a great deal of interest in ACR in recent years, the following basic question remains open: How can we determine quickly whether a given biochemical system has ACR? Although various approaches to this problem have been proposed, we show that they are incomplete. Accordingly, we present new methods for deciding ACR, which harness computational algebra. We illustrate our results on several biochemical signaling networks.
Fil: García Puente, Luis David. Colorado College; Estados Unidos
Fil: Gross, Elizabeth. University of Hawaii at Manoa; Estados Unidos
Fil: Harrington, Heather A.. University of Oxford; Reino Unido. Technische Universität Dresden; Alemania
Fil: Johnston, Matthew. Lawrence Technological University; Estados Unidos
Fil: Meshkat, Nicolette. Santa Clara University; Estados Unidos
Fil: Pérez Millán, Mercedes Soledad. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Investigaciones Matemáticas "Luis A. Santaló". Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Investigaciones Matemáticas "Luis A. Santaló"; Argentina. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Matemática; Argentina
Fil: Shiu, Anne. Texas A&M University; Estados Unidos
Materia
ABSOLUTE CONCENTRATION ROBUSTNESS
CHEMICAL REACTION NETWORK THEORY
COMPUTATIONAL ALGEBRAIC GEOMETRY
NUMERICAL ALGEBRAIC GEOMETRY
MASS ACTION SYSTEMS
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:11336/265645

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spelling Absolute concentration robustness: Algebra and geometryGarcía Puente, Luis DavidGross, ElizabethHarrington, Heather A.Johnston, MatthewMeshkat, NicolettePérez Millán, Mercedes SoledadShiu, AnneABSOLUTE CONCENTRATION ROBUSTNESSCHEMICAL REACTION NETWORK THEORYCOMPUTATIONAL ALGEBRAIC GEOMETRYNUMERICAL ALGEBRAIC GEOMETRYMASS ACTION SYSTEMShttps://purl.org/becyt/ford/1.1https://purl.org/becyt/ford/1Motivated by the question of how biological systems maintain homeostasis in changing environments, Shinar and Feinberg introduced in 2010 the concept of absolute concentration robustness (ACR). A biochemical system exhibits ACR in some species if the steady-state value of that species does not depend on initial conditions. Thus, a system with ACR can maintain a constant level of one species even as the initial condition changes. Despite a great deal of interest in ACR in recent years, the following basic question remains open: How can we determine quickly whether a given biochemical system has ACR? Although various approaches to this problem have been proposed, we show that they are incomplete. Accordingly, we present new methods for deciding ACR, which harness computational algebra. We illustrate our results on several biochemical signaling networks.Fil: García Puente, Luis David. Colorado College; Estados UnidosFil: Gross, Elizabeth. University of Hawaii at Manoa; Estados UnidosFil: Harrington, Heather A.. University of Oxford; Reino Unido. Technische Universität Dresden; AlemaniaFil: Johnston, Matthew. Lawrence Technological University; Estados UnidosFil: Meshkat, Nicolette. Santa Clara University; Estados UnidosFil: Pérez Millán, Mercedes Soledad. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Investigaciones Matemáticas "Luis A. Santaló". Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Investigaciones Matemáticas "Luis A. Santaló"; Argentina. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Matemática; ArgentinaFil: Shiu, Anne. Texas A&M University; Estados UnidosAcademic Press Ltd - Elsevier Science Ltd2025-05info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/265645García Puente, Luis David; Gross, Elizabeth; Harrington, Heather A.; Johnston, Matthew; Meshkat, Nicolette; et al.; Absolute concentration robustness: Algebra and geometry; Academic Press Ltd - Elsevier Science Ltd; Journal Of Symbolic Computation; 128; 5-2025; 1-370747-7171CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://linkinghub.elsevier.com/retrieve/pii/S0747717124001020info:eu-repo/semantics/altIdentifier/doi/10.1016/j.jsc.2024.102398info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T10:03:15Zoai:ri.conicet.gov.ar:11336/265645instacron: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 10:03:15.89CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Absolute concentration robustness: Algebra and geometry
title Absolute concentration robustness: Algebra and geometry
spellingShingle Absolute concentration robustness: Algebra and geometry
García Puente, Luis David
ABSOLUTE CONCENTRATION ROBUSTNESS
CHEMICAL REACTION NETWORK THEORY
COMPUTATIONAL ALGEBRAIC GEOMETRY
NUMERICAL ALGEBRAIC GEOMETRY
MASS ACTION SYSTEMS
title_short Absolute concentration robustness: Algebra and geometry
title_full Absolute concentration robustness: Algebra and geometry
title_fullStr Absolute concentration robustness: Algebra and geometry
title_full_unstemmed Absolute concentration robustness: Algebra and geometry
title_sort Absolute concentration robustness: Algebra and geometry
dc.creator.none.fl_str_mv García Puente, Luis David
Gross, Elizabeth
Harrington, Heather A.
Johnston, Matthew
Meshkat, Nicolette
Pérez Millán, Mercedes Soledad
Shiu, Anne
author García Puente, Luis David
author_facet García Puente, Luis David
Gross, Elizabeth
Harrington, Heather A.
Johnston, Matthew
Meshkat, Nicolette
Pérez Millán, Mercedes Soledad
Shiu, Anne
author_role author
author2 Gross, Elizabeth
Harrington, Heather A.
Johnston, Matthew
Meshkat, Nicolette
Pérez Millán, Mercedes Soledad
Shiu, Anne
author2_role author
author
author
author
author
author
dc.subject.none.fl_str_mv ABSOLUTE CONCENTRATION ROBUSTNESS
CHEMICAL REACTION NETWORK THEORY
COMPUTATIONAL ALGEBRAIC GEOMETRY
NUMERICAL ALGEBRAIC GEOMETRY
MASS ACTION SYSTEMS
topic ABSOLUTE CONCENTRATION ROBUSTNESS
CHEMICAL REACTION NETWORK THEORY
COMPUTATIONAL ALGEBRAIC GEOMETRY
NUMERICAL ALGEBRAIC GEOMETRY
MASS ACTION SYSTEMS
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.1
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv Motivated by the question of how biological systems maintain homeostasis in changing environments, Shinar and Feinberg introduced in 2010 the concept of absolute concentration robustness (ACR). A biochemical system exhibits ACR in some species if the steady-state value of that species does not depend on initial conditions. Thus, a system with ACR can maintain a constant level of one species even as the initial condition changes. Despite a great deal of interest in ACR in recent years, the following basic question remains open: How can we determine quickly whether a given biochemical system has ACR? Although various approaches to this problem have been proposed, we show that they are incomplete. Accordingly, we present new methods for deciding ACR, which harness computational algebra. We illustrate our results on several biochemical signaling networks.
Fil: García Puente, Luis David. Colorado College; Estados Unidos
Fil: Gross, Elizabeth. University of Hawaii at Manoa; Estados Unidos
Fil: Harrington, Heather A.. University of Oxford; Reino Unido. Technische Universität Dresden; Alemania
Fil: Johnston, Matthew. Lawrence Technological University; Estados Unidos
Fil: Meshkat, Nicolette. Santa Clara University; Estados Unidos
Fil: Pérez Millán, Mercedes Soledad. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Investigaciones Matemáticas "Luis A. Santaló". Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Investigaciones Matemáticas "Luis A. Santaló"; Argentina. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Matemática; Argentina
Fil: Shiu, Anne. Texas A&M University; Estados Unidos
description Motivated by the question of how biological systems maintain homeostasis in changing environments, Shinar and Feinberg introduced in 2010 the concept of absolute concentration robustness (ACR). A biochemical system exhibits ACR in some species if the steady-state value of that species does not depend on initial conditions. Thus, a system with ACR can maintain a constant level of one species even as the initial condition changes. Despite a great deal of interest in ACR in recent years, the following basic question remains open: How can we determine quickly whether a given biochemical system has ACR? Although various approaches to this problem have been proposed, we show that they are incomplete. Accordingly, we present new methods for deciding ACR, which harness computational algebra. We illustrate our results on several biochemical signaling networks.
publishDate 2025
dc.date.none.fl_str_mv 2025-05
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/11336/265645
García Puente, Luis David; Gross, Elizabeth; Harrington, Heather A.; Johnston, Matthew; Meshkat, Nicolette; et al.; Absolute concentration robustness: Algebra and geometry; Academic Press Ltd - Elsevier Science Ltd; Journal Of Symbolic Computation; 128; 5-2025; 1-37
0747-7171
CONICET Digital
CONICET
url http://hdl.handle.net/11336/265645
identifier_str_mv García Puente, Luis David; Gross, Elizabeth; Harrington, Heather A.; Johnston, Matthew; Meshkat, Nicolette; et al.; Absolute concentration robustness: Algebra and geometry; Academic Press Ltd - Elsevier Science Ltd; Journal Of Symbolic Computation; 128; 5-2025; 1-37
0747-7171
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://linkinghub.elsevier.com/retrieve/pii/S0747717124001020
info:eu-repo/semantics/altIdentifier/doi/10.1016/j.jsc.2024.102398
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 Academic Press Ltd - Elsevier Science Ltd
publisher.none.fl_str_mv Academic Press Ltd - Elsevier Science Ltd
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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