Optimization-based prediction of fold bifurcations in nonlinear ODE models
6 pages, 7 figures
| Autores: | , |
|---|---|
| Tipo de recurso: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2018 |
| País: | España |
| Institución: | Consejo Superior de Investigaciones Científicas (CSIC) |
| Repositorio: | DIGITAL.CSIC. Repositorio Institucional del CSIC |
| OAI Identifier: | oai:digital.csic.es:10261/171366 |
| Acceso en línea: | http://hdl.handle.net/10261/171366 |
| Access Level: | acceso abierto |
| Palabra clave: | Global optimization Saddle-Node Bistability Systems biology MINLP |
| id |
ES_5897fc415f4cfccdd4cf00cfea1020ea |
|---|---|
| oai_identifier_str |
oai:digital.csic.es:10261/171366 |
| network_acronym_str |
ES |
| network_name_str |
España |
| repository_id_str |
|
| spelling |
Optimization-based prediction of fold bifurcations in nonlinear ODE modelsOtero-Muras, IreneBanga, Julio R.Global optimizationSaddle-NodeBistabilitySystems biologyMINLP6 pages, 7 figuresA complex nonlinear system might exhibit a rich variety of dynamics. Detecting and classifying these dynamics is crucial to understand and ultimately control the system. Starting from an ODE model, this analysis can be done using standard bifurcation/continuation methods. However, when we start from measured data to infer the equations governing the dynamics (parameters and topology) we need tools to detect bifurcations in presence of parameter and even structural uncertainty. This is particularly the case in the field of systems biology, where we often deal with limited mechanistic knowledge (including potential conflicting hypotheses) and scarce experimental data. Here we present a method to efficiently predict the appearance of fold bifurcations in general systems of ordinary differential equations. The approach formulates the search of the bifurcation condition through a Mixed Integer Nonlinear Programming optimization strategy. In this way, we can simultaneously explore parameter and topology spaces searching for the desired bifurcation behaviour. We illustrate the capabilities and efficiency of our method through an example of biological relevance, the transcriptional network controlling adipogenesis, finding the conditions for an irreversible switch that causes the conversion of preadipocytes into adipocytes responsible of lipid accumulationPeer reviewedInternational Federation of Automatic ControlConsejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]201820182018info:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_6501Publisher's versioninfo:eu-repo/semantics/publishedVersionhttp://hdl.handle.net/10261/171366reponame:DIGITAL.CSIC. Repositorio Institucional del CSICinstname:Consejo Superior de Investigaciones Científicas (CSIC)Ingléshttps://doi.org/10.1016/j.ifacol.2018.09.192Síinfo:eu-repo/semantics/openAccessoai:digital.csic.es:10261/1713662026-05-22T06:33:51Z |
| dc.title.none.fl_str_mv |
Optimization-based prediction of fold bifurcations in nonlinear ODE models |
| title |
Optimization-based prediction of fold bifurcations in nonlinear ODE models |
| spellingShingle |
Optimization-based prediction of fold bifurcations in nonlinear ODE models Otero-Muras, Irene Global optimization Saddle-Node Bistability Systems biology MINLP |
| title_short |
Optimization-based prediction of fold bifurcations in nonlinear ODE models |
| title_full |
Optimization-based prediction of fold bifurcations in nonlinear ODE models |
| title_fullStr |
Optimization-based prediction of fold bifurcations in nonlinear ODE models |
| title_full_unstemmed |
Optimization-based prediction of fold bifurcations in nonlinear ODE models |
| title_sort |
Optimization-based prediction of fold bifurcations in nonlinear ODE models |
| dc.creator.none.fl_str_mv |
Otero-Muras, Irene Banga, Julio R. |
| author |
Otero-Muras, Irene |
| author_facet |
Otero-Muras, Irene Banga, Julio R. |
| author_role |
author |
| author2 |
Banga, Julio R. |
| author2_role |
author |
| dc.contributor.none.fl_str_mv |
Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72] |
| dc.subject.none.fl_str_mv |
Global optimization Saddle-Node Bistability Systems biology MINLP |
| topic |
Global optimization Saddle-Node Bistability Systems biology MINLP |
| description |
6 pages, 7 figures |
| publishDate |
2018 |
| dc.date.none.fl_str_mv |
2018 2018 2018 |
| dc.type.none.fl_str_mv |
info:eu-repo/semantics/article http://purl.org/coar/resource_type/c_6501 Publisher's version info:eu-repo/semantics/publishedVersion |
| format |
article |
| status_str |
publishedVersion |
| dc.identifier.none.fl_str_mv |
http://hdl.handle.net/10261/171366 |
| url |
http://hdl.handle.net/10261/171366 |
| dc.language.none.fl_str_mv |
Inglés |
| language_invalid_str_mv |
Inglés |
| dc.relation.none.fl_str_mv |
https://doi.org/10.1016/j.ifacol.2018.09.192 Sí |
| dc.rights.none.fl_str_mv |
info:eu-repo/semantics/openAccess |
| eu_rights_str_mv |
openAccess |
| dc.publisher.none.fl_str_mv |
International Federation of Automatic Control |
| publisher.none.fl_str_mv |
International Federation of Automatic Control |
| dc.source.none.fl_str_mv |
reponame:DIGITAL.CSIC. Repositorio Institucional del CSIC instname:Consejo Superior de Investigaciones Científicas (CSIC) |
| instname_str |
Consejo Superior de Investigaciones Científicas (CSIC) |
| reponame_str |
DIGITAL.CSIC. Repositorio Institucional del CSIC |
| collection |
DIGITAL.CSIC. Repositorio Institucional del CSIC |
| repository.name.fl_str_mv |
|
| repository.mail.fl_str_mv |
|
| _version_ |
1869408554341892096 |
| score |
15,812429 |