Artículo
Absolute concentration robustness: Algebra and geometry
García Puente, Luis David; Gross, Elizabeth; Harrington, Heather A.; Johnston, Matthew; Meshkat, Nicolette; Pérez Millán, Mercedes Soledad
; Shiu, Anne
; Shiu, Anne
Fecha de publicación:
05/2025
Editorial:
Academic Press Ltd - Elsevier Science Ltd
Revista:
Journal Of Symbolic Computation
ISSN:
0747-7171
Idioma:
Inglés
Tipo de recurso:
Artículo publicado
Clasificación temática:
Resumen
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.
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Articulos(IMAS)
Articulos de INSTITUTO DE INVESTIGACIONES MATEMATICAS "LUIS A. SANTALO"
Articulos de INSTITUTO DE INVESTIGACIONES MATEMATICAS "LUIS A. SANTALO"
Citación
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
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