MLAGO: machine learning-aided global optimization for Michaelis constant estimation of kinetic modeling

BACKGROUND: Kinetic modeling is a powerful tool for understanding the dynamic behavior of biochemical systems. For kinetic modeling, determination of a number of kinetic parameters, such as the Michaelis constant (K(m)), is necessary, and global optimization algorithms have long been used for parame...

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Detalles Bibliográficos
Autores principales: Maeda, Kazuhiro, Hatae, Aoi, Sakai, Yukie, Boogerd, Fred C., Kurata, Hiroyuki
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9624028/
https://www.ncbi.nlm.nih.gov/pubmed/36319952
http://dx.doi.org/10.1186/s12859-022-05009-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9624028/
https://www.ncbi.nlm.nih.gov/pubmed/36319952
http://dx.doi.org/10.1186/s12859-022-05009-x

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