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

Abstract 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 (Km), is necessary, and global optimization algorithms have long been used for...

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Detalhes bibliográficos

Principais autores:	Kazuhiro Maeda, Aoi Hatae, Yukie Sakai, Fred C. Boogerd, Hiroyuki Kurata
Formato:	Artigo
Idioma:	Inglês
Publicado em:	BMC 2022-11-01
Colecção:	BMC Bioinformatics
Assuntos:	Simulation Michaelis constant Kinetic modeling Parameter estimation Machine learning Global optimization
Acesso em linha:	https://doi.org/10.1186/s12859-022-05009-x
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