Quantifying Global Tolerance of Biochemical Systems: Design Implications for Moiety-Transfer Cycles

Detalhes bibliográficos
Autor(a) principal: Coelho, Pedro M. B. M.
Data de Publicação: 2009
Outros Autores: Salvador, Armindo, Savageau, Michael A.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10316/12296
https://doi.org/10.1371/journal.pcbi.1000319
Resumo: Robustness of organisms is widely observed although difficult to precisely characterize. Performance can remain nearly constant within some neighborhood of the normal operating regime, leading to homeostasis, but then abruptly break down with pathological consequences beyond this neighborhood. Currently, there is no generic approach to identifying boundaries where local performance deteriorates abruptly, and this has hampered understanding of the molecular basis of biological robustness. Here we introduce a generic approach for characterizing boundaries between operational regimes based on the piecewise power-law representation of the system’s components. This conceptual framework allows us to define ‘‘global tolerance’’ as the ratio between the normal value of a parameter and the value at such a boundary. We illustrate the utility of this concept for a class of moiety-transfer cycles, which is a widespread module in biology. Our results show a region of ‘‘best’’ local performance surrounded by ‘‘poor’’ regions; also, selection for improved local performance often pushes the operating values away from regime boundaries, thus increasing global tolerance. These predictions agree with experimental data from the reduced nicotinamide adenine dinucleotide phosphate (NADPH) redox cycle of human erythrocytes
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spelling Quantifying Global Tolerance of Biochemical Systems: Design Implications for Moiety-Transfer CyclesRobustness of organisms is widely observed although difficult to precisely characterize. Performance can remain nearly constant within some neighborhood of the normal operating regime, leading to homeostasis, but then abruptly break down with pathological consequences beyond this neighborhood. Currently, there is no generic approach to identifying boundaries where local performance deteriorates abruptly, and this has hampered understanding of the molecular basis of biological robustness. Here we introduce a generic approach for characterizing boundaries between operational regimes based on the piecewise power-law representation of the system’s components. This conceptual framework allows us to define ‘‘global tolerance’’ as the ratio between the normal value of a parameter and the value at such a boundary. We illustrate the utility of this concept for a class of moiety-transfer cycles, which is a widespread module in biology. Our results show a region of ‘‘best’’ local performance surrounded by ‘‘poor’’ regions; also, selection for improved local performance often pushes the operating values away from regime boundaries, thus increasing global tolerance. These predictions agree with experimental data from the reduced nicotinamide adenine dinucleotide phosphate (NADPH) redox cycle of human erythrocytesThis work was supported in part by fellowships to PC (SFRH/BD/8304/2002) and AS (SFRH/BPD/9457/2002) from Fundacao para a Ciencia e Tecnologia, Portugal, and by grants to AS (PTDC/QUI/70523/2006) from Fundacao para a Ciencia e Tecnologia, Portugal, and to MAS (RO1-GM30054) from the US Public Health ServicePublic Library of Science2009-03-20info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://hdl.handle.net/10316/12296http://hdl.handle.net/10316/12296https://doi.org/10.1371/journal.pcbi.1000319engPLoS Computational Biology. 5:3 (2009)1553-734XCoelho, Pedro M. B. M.Salvador, ArmindoSavageau, Michael A.info: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:RCAAP2020-11-06T17:00:14Zoai:estudogeral.uc.pt:10316/12296Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T21:01:41.094168Repositório 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 Quantifying Global Tolerance of Biochemical Systems: Design Implications for Moiety-Transfer Cycles
title Quantifying Global Tolerance of Biochemical Systems: Design Implications for Moiety-Transfer Cycles
spellingShingle Quantifying Global Tolerance of Biochemical Systems: Design Implications for Moiety-Transfer Cycles
Coelho, Pedro M. B. M.
title_short Quantifying Global Tolerance of Biochemical Systems: Design Implications for Moiety-Transfer Cycles
title_full Quantifying Global Tolerance of Biochemical Systems: Design Implications for Moiety-Transfer Cycles
title_fullStr Quantifying Global Tolerance of Biochemical Systems: Design Implications for Moiety-Transfer Cycles
title_full_unstemmed Quantifying Global Tolerance of Biochemical Systems: Design Implications for Moiety-Transfer Cycles
title_sort Quantifying Global Tolerance of Biochemical Systems: Design Implications for Moiety-Transfer Cycles
author Coelho, Pedro M. B. M.
author_facet Coelho, Pedro M. B. M.
Salvador, Armindo
Savageau, Michael A.
author_role author
author2 Salvador, Armindo
Savageau, Michael A.
author2_role author
author
dc.contributor.author.fl_str_mv Coelho, Pedro M. B. M.
Salvador, Armindo
Savageau, Michael A.
description Robustness of organisms is widely observed although difficult to precisely characterize. Performance can remain nearly constant within some neighborhood of the normal operating regime, leading to homeostasis, but then abruptly break down with pathological consequences beyond this neighborhood. Currently, there is no generic approach to identifying boundaries where local performance deteriorates abruptly, and this has hampered understanding of the molecular basis of biological robustness. Here we introduce a generic approach for characterizing boundaries between operational regimes based on the piecewise power-law representation of the system’s components. This conceptual framework allows us to define ‘‘global tolerance’’ as the ratio between the normal value of a parameter and the value at such a boundary. We illustrate the utility of this concept for a class of moiety-transfer cycles, which is a widespread module in biology. Our results show a region of ‘‘best’’ local performance surrounded by ‘‘poor’’ regions; also, selection for improved local performance often pushes the operating values away from regime boundaries, thus increasing global tolerance. These predictions agree with experimental data from the reduced nicotinamide adenine dinucleotide phosphate (NADPH) redox cycle of human erythrocytes
publishDate 2009
dc.date.none.fl_str_mv 2009-03-20
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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status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10316/12296
http://hdl.handle.net/10316/12296
https://doi.org/10.1371/journal.pcbi.1000319
url http://hdl.handle.net/10316/12296
https://doi.org/10.1371/journal.pcbi.1000319
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv PLoS Computational Biology. 5:3 (2009)
1553-734X
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dc.publisher.none.fl_str_mv Public Library of Science
publisher.none.fl_str_mv Public Library of Science
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