Critical perspective on the consequences of the limited availability of kinetic data in metabolic dynamic modeling

Detalhes bibliográficos
Autor(a) principal: Costa, Rafael S.
Data de Publicação: 2011
Outros Autores: Machado, C. D., Rocha, I., Ferreira, Eugénio C.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: https://hdl.handle.net/1822/16719
Resumo: Detailed kinetic models at the network reaction level are usually constructed using enzymatic mechanistic rate equations and the associated kinetic parameters. However, during the cellular life cycle thousands of different reactions occur, which makes it very difficult to build a detailed large-scale ldnetic model. In this work, we provide a critical overview of specific limitations found during the reconstruction of the central carbon metabolism dynamic model from E. coli (based on kinetic data available). In addition, we provide clues that will hopefully allow the systems biology community to more accurately construct metabolic dynamic models in the future. The difficulties faced during the construction of dynamic models are due not only to the lack of kinetic information but also to the fact that some data are still not curated. We hope that in the future, with the standardization of the in vitro enzyme protocols the approximation of in vitro conditions to the in vivo ones, it will be possible to integrate the available kinetic data into a complete large scale model. We also expect that collaborative projects between modellers and biologists will provide valuable kinetic data and permit the exchange of important information to solve most of these issues.
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spelling Critical perspective on the consequences of the limited availability of kinetic data in metabolic dynamic modelingScience & TechnologyDetailed kinetic models at the network reaction level are usually constructed using enzymatic mechanistic rate equations and the associated kinetic parameters. However, during the cellular life cycle thousands of different reactions occur, which makes it very difficult to build a detailed large-scale ldnetic model. In this work, we provide a critical overview of specific limitations found during the reconstruction of the central carbon metabolism dynamic model from E. coli (based on kinetic data available). In addition, we provide clues that will hopefully allow the systems biology community to more accurately construct metabolic dynamic models in the future. The difficulties faced during the construction of dynamic models are due not only to the lack of kinetic information but also to the fact that some data are still not curated. We hope that in the future, with the standardization of the in vitro enzyme protocols the approximation of in vitro conditions to the in vivo ones, it will be possible to integrate the available kinetic data into a complete large scale model. We also expect that collaborative projects between modellers and biologists will provide valuable kinetic data and permit the exchange of important information to solve most of these issues.Rafael S. Costa would like to thank Fundacao para a Ciencia e Tecnologia for providing the grant SFRH/BD/25506/2005. The authors also acknowledge the MIT-Portugal project 'Bridging Systems and Synthetic Biology for the development of improved microbial cell factories' MIT-Pt/BS-BB/0082/2008.Institution Engineering Technology (IET)Universidade do MinhoCosta, Rafael S.Machado, C. D.Rocha, I.Ferreira, Eugénio C.2011-052011-05-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/1822/16719eng1751-884910.1049/iet-syb.2009.005821639589info: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:RCAAP2023-07-21T12:47:50Zoai:repositorium.sdum.uminho.pt:1822/16719Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T19:45:57.450657Repositório 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 Critical perspective on the consequences of the limited availability of kinetic data in metabolic dynamic modeling
title Critical perspective on the consequences of the limited availability of kinetic data in metabolic dynamic modeling
spellingShingle Critical perspective on the consequences of the limited availability of kinetic data in metabolic dynamic modeling
Costa, Rafael S.
Science & Technology
title_short Critical perspective on the consequences of the limited availability of kinetic data in metabolic dynamic modeling
title_full Critical perspective on the consequences of the limited availability of kinetic data in metabolic dynamic modeling
title_fullStr Critical perspective on the consequences of the limited availability of kinetic data in metabolic dynamic modeling
title_full_unstemmed Critical perspective on the consequences of the limited availability of kinetic data in metabolic dynamic modeling
title_sort Critical perspective on the consequences of the limited availability of kinetic data in metabolic dynamic modeling
author Costa, Rafael S.
author_facet Costa, Rafael S.
Machado, C. D.
Rocha, I.
Ferreira, Eugénio C.
author_role author
author2 Machado, C. D.
Rocha, I.
Ferreira, Eugénio C.
author2_role author
author
author
dc.contributor.none.fl_str_mv Universidade do Minho
dc.contributor.author.fl_str_mv Costa, Rafael S.
Machado, C. D.
Rocha, I.
Ferreira, Eugénio C.
dc.subject.por.fl_str_mv Science & Technology
topic Science & Technology
description Detailed kinetic models at the network reaction level are usually constructed using enzymatic mechanistic rate equations and the associated kinetic parameters. However, during the cellular life cycle thousands of different reactions occur, which makes it very difficult to build a detailed large-scale ldnetic model. In this work, we provide a critical overview of specific limitations found during the reconstruction of the central carbon metabolism dynamic model from E. coli (based on kinetic data available). In addition, we provide clues that will hopefully allow the systems biology community to more accurately construct metabolic dynamic models in the future. The difficulties faced during the construction of dynamic models are due not only to the lack of kinetic information but also to the fact that some data are still not curated. We hope that in the future, with the standardization of the in vitro enzyme protocols the approximation of in vitro conditions to the in vivo ones, it will be possible to integrate the available kinetic data into a complete large scale model. We also expect that collaborative projects between modellers and biologists will provide valuable kinetic data and permit the exchange of important information to solve most of these issues.
publishDate 2011
dc.date.none.fl_str_mv 2011-05
2011-05-01T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
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dc.identifier.uri.fl_str_mv https://hdl.handle.net/1822/16719
url https://hdl.handle.net/1822/16719
dc.language.iso.fl_str_mv eng
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dc.relation.none.fl_str_mv 1751-8849
10.1049/iet-syb.2009.0058
21639589
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dc.publisher.none.fl_str_mv Institution Engineering Technology (IET)
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