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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:
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
Descripción
Sumario: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.