CADLIVE optimizer: web-based parameter estimation for dynamic models

Computer simulation has been an important technique to capture the dynamics of biochemical networks. In most networks, however, few kinetic parameters have been measured in vivo because of experimental complexity. We develop a kinetic parameter estimation system, named the CADLIVE Optimizer, which c...

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Detalles Bibliográficos
Autores principales: Inoue, Kentaro, Maeda, Kazuhiro, Kato, Yuki, Tonami, Shinpei, Takagi, Shogo, Kurata, Hiroyuki
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2012
Materias:
Brief Reports
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3457844/
https://www.ncbi.nlm.nih.gov/pubmed/22929413
http://dx.doi.org/10.1186/1751-0473-7-9
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author Inoue, Kentaro
Maeda, Kazuhiro
Kato, Yuki
Tonami, Shinpei
Takagi, Shogo
Kurata, Hiroyuki
author_facet Inoue, Kentaro
Maeda, Kazuhiro
Kato, Yuki
Tonami, Shinpei
Takagi, Shogo
Kurata, Hiroyuki
author_sort Inoue, Kentaro
collection PubMed
description Computer simulation has been an important technique to capture the dynamics of biochemical networks. In most networks, however, few kinetic parameters have been measured in vivo because of experimental complexity. We develop a kinetic parameter estimation system, named the CADLIVE Optimizer, which comprises genetic algorithms-based solvers with a graphical user interface. This optimizer is integrated into the CADLIVE Dynamic Simulator to attain efficient simulation for dynamic models.
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spelling pubmed-34578442012-09-26 CADLIVE optimizer: web-based parameter estimation for dynamic models Inoue, Kentaro Maeda, Kazuhiro Kato, Yuki Tonami, Shinpei Takagi, Shogo Kurata, Hiroyuki Source Code Biol Med Brief Reports Computer simulation has been an important technique to capture the dynamics of biochemical networks. In most networks, however, few kinetic parameters have been measured in vivo because of experimental complexity. We develop a kinetic parameter estimation system, named the CADLIVE Optimizer, which comprises genetic algorithms-based solvers with a graphical user interface. This optimizer is integrated into the CADLIVE Dynamic Simulator to attain efficient simulation for dynamic models. BioMed Central 2012-08-28 /pmc/articles/PMC3457844/ /pubmed/22929413 http://dx.doi.org/10.1186/1751-0473-7-9 Text en Copyright ©2012 Inoue et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Brief Reports
Inoue, Kentaro
Maeda, Kazuhiro
Kato, Yuki
Tonami, Shinpei
Takagi, Shogo
Kurata, Hiroyuki
CADLIVE optimizer: web-based parameter estimation for dynamic models
title CADLIVE optimizer: web-based parameter estimation for dynamic models
title_full CADLIVE optimizer: web-based parameter estimation for dynamic models
title_fullStr CADLIVE optimizer: web-based parameter estimation for dynamic models
title_full_unstemmed CADLIVE optimizer: web-based parameter estimation for dynamic models
title_short CADLIVE optimizer: web-based parameter estimation for dynamic models
title_sort cadlive optimizer: web-based parameter estimation for dynamic models
topic Brief Reports
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3457844/
https://www.ncbi.nlm.nih.gov/pubmed/22929413
http://dx.doi.org/10.1186/1751-0473-7-9
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