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Analysis of deterministic cyclic gene regulatory network models with delays

This brief examines a deterministic, ODE-based model for gene regulatory networks (GRN) that incorporates nonlinearities and time-delayed feedback. An introductory chapter provides some insights into molecular biology and GRNs. The mathematical tools necessary for studying the GRN model are then rev...

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Detalles Bibliográficos
Autores principales: Ahsen, Mehmet Eren, Özbay, Hitay, Niculescu, Silviu-Iulian
Lenguaje:eng
Publicado: Springer 2015
Materias:
Acceso en línea:https://dx.doi.org/10.1007/978-3-319-15606-4
http://cds.cern.ch/record/1996671
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author Ahsen, Mehmet Eren
Özbay, Hitay
Niculescu, Silviu-Iulian
author_facet Ahsen, Mehmet Eren
Özbay, Hitay
Niculescu, Silviu-Iulian
author_sort Ahsen, Mehmet Eren
collection CERN
description This brief examines a deterministic, ODE-based model for gene regulatory networks (GRN) that incorporates nonlinearities and time-delayed feedback. An introductory chapter provides some insights into molecular biology and GRNs. The mathematical tools necessary for studying the GRN model are then reviewed, in particular Hill functions and Schwarzian derivatives. One chapter is devoted to the analysis of GRNs under negative feedback with time delays and a special case of a homogenous GRN is considered. Asymptotic stability analysis of GRNs under positive feedback is then considered in a separate chapter, in which conditions leading to bi-stability are derived. Graduate and advanced undergraduate students and researchers in control engineering, applied mathematics, systems biology and synthetic biology will find this brief to be a clear and concise introduction to the modeling and analysis of GRNs.
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spelling cern-19966712021-04-21T20:26:58Zdoi:10.1007/978-3-319-15606-4http://cds.cern.ch/record/1996671engAhsen, Mehmet ErenÖzbay, HitayNiculescu, Silviu-IulianAnalysis of deterministic cyclic gene regulatory network models with delaysEngineeringThis brief examines a deterministic, ODE-based model for gene regulatory networks (GRN) that incorporates nonlinearities and time-delayed feedback. An introductory chapter provides some insights into molecular biology and GRNs. The mathematical tools necessary for studying the GRN model are then reviewed, in particular Hill functions and Schwarzian derivatives. One chapter is devoted to the analysis of GRNs under negative feedback with time delays and a special case of a homogenous GRN is considered. Asymptotic stability analysis of GRNs under positive feedback is then considered in a separate chapter, in which conditions leading to bi-stability are derived. Graduate and advanced undergraduate students and researchers in control engineering, applied mathematics, systems biology and synthetic biology will find this brief to be a clear and concise introduction to the modeling and analysis of GRNs.Springeroai:cds.cern.ch:19966712015
spellingShingle Engineering
Ahsen, Mehmet Eren
Özbay, Hitay
Niculescu, Silviu-Iulian
Analysis of deterministic cyclic gene regulatory network models with delays
title Analysis of deterministic cyclic gene regulatory network models with delays
title_full Analysis of deterministic cyclic gene regulatory network models with delays
title_fullStr Analysis of deterministic cyclic gene regulatory network models with delays
title_full_unstemmed Analysis of deterministic cyclic gene regulatory network models with delays
title_short Analysis of deterministic cyclic gene regulatory network models with delays
title_sort analysis of deterministic cyclic gene regulatory network models with delays
topic Engineering
url https://dx.doi.org/10.1007/978-3-319-15606-4
http://cds.cern.ch/record/1996671
work_keys_str_mv AT ahsenmehmeteren analysisofdeterministiccyclicgeneregulatorynetworkmodelswithdelays
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AT niculescusilviuiulian analysisofdeterministiccyclicgeneregulatorynetworkmodelswithdelays