Optimization strategies for metabolic networks

Detalhes bibliográficos
Autor(a) principal: Domingues, Alexandre
Data de Publicação: 2010
Outros Autores: Vinga, Susana, Lemos, João M.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10362/41816
Resumo: The work reported in this paper was performed within the project DynaMo - Dynamical modeling, control and optimization of metabolic networks, supported by FCT (Portugal) under contract PTDC/EEA-ACR/69530/2006.
id RCAP_e310d29058b4b8a1c99167a3d4f61196
oai_identifier_str oai:run.unl.pt:10362/41816
network_acronym_str RCAP
network_name_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository_id_str 7160
spelling Optimization strategies for metabolic networkssystemsThe work reported in this paper was performed within the project DynaMo - Dynamical modeling, control and optimization of metabolic networks, supported by FCT (Portugal) under contract PTDC/EEA-ACR/69530/2006.Background: The increasing availability of models and data for metabolic networks poses new challenges in what concerns optimization for biological systems. Due to the high level of complexity and uncertainty associated to these networks the suggested models often lack detail and liability, required to determine the proper optimization strategies. A possible approach to overcome this limitation is the combination of both kinetic and stoichiometric models. In this paper three control optimization methods, with different levels of complexity and assuming various degrees of process information, are presented and their results compared using a prototype network. Results: The results obtained show that Bi-Level optimization lead to a good approximation of the optimum attainable with the full information on the original network. Furthermore, using Pontryagin's Maximum Principle it is shown that the optimal control for the network in question, can only assume values on the extremes of the interval of its possible values. Conclusions: It is shown that, for a class of networks in which the product that favors cell growth competes with the desired product yield, the optimal control that explores this trade-off assumes only extreme values. The proposed Bi-Level optimization led to a good approximation of the original network, allowing to overcome the limitation on the available information, often present in metabolic network models. Although the prototype network considered, it is stressed that the results obtained concern methods, and provide guidelines that are valid in a wider context.NOVA Medical School|Faculdade de Ciências Médicas (NMS|FCM)RUNDomingues, AlexandreVinga, SusanaLemos, João M.2018-07-17T22:04:34Z2010-08-132010-08-13T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article8application/pdfhttp://hdl.handle.net/10362/41816eng1752-0509PURE: 388857https://doi.org/10.1186/1752-0509-4-113info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-03-11T04:22:33Zoai:run.unl.pt:10362/41816Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:31:23.979996Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Optimization strategies for metabolic networks
title Optimization strategies for metabolic networks
spellingShingle Optimization strategies for metabolic networks
Domingues, Alexandre
systems
title_short Optimization strategies for metabolic networks
title_full Optimization strategies for metabolic networks
title_fullStr Optimization strategies for metabolic networks
title_full_unstemmed Optimization strategies for metabolic networks
title_sort Optimization strategies for metabolic networks
author Domingues, Alexandre
author_facet Domingues, Alexandre
Vinga, Susana
Lemos, João M.
author_role author
author2 Vinga, Susana
Lemos, João M.
author2_role author
author
dc.contributor.none.fl_str_mv NOVA Medical School|Faculdade de Ciências Médicas (NMS|FCM)
RUN
dc.contributor.author.fl_str_mv Domingues, Alexandre
Vinga, Susana
Lemos, João M.
dc.subject.por.fl_str_mv systems
topic systems
description The work reported in this paper was performed within the project DynaMo - Dynamical modeling, control and optimization of metabolic networks, supported by FCT (Portugal) under contract PTDC/EEA-ACR/69530/2006.
publishDate 2010
dc.date.none.fl_str_mv 2010-08-13
2010-08-13T00:00:00Z
2018-07-17T22:04:34Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10362/41816
url http://hdl.handle.net/10362/41816
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 1752-0509
PURE: 388857
https://doi.org/10.1186/1752-0509-4-113
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 8
application/pdf
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
institution RCAAP
reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
repository.mail.fl_str_mv
_version_ 1799137937371168768

Registros relacionados