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

Maeda, Kazuhiro; Hatae, Aoi; Sakai, Yukie; Boogerd, Fred C; Kurata, Hiroyuki

Maeda, Kazuhiro; Hatae, Aoi; Sakai, Yukie; Boogerd, Fred C; Kurata, Hiroyuki.

Afiliação

Maeda K; Department of Bioscience and Bioinformatics, Kyushu Institute of Technology, 680-4 Kawazu, Iizuka, Fukuoka, 820-8502, Japan. kmaeda@bio.kyutech.ac.jp.
Hatae A; Department of Bioscience and Bioinformatics, Kyushu Institute of Technology, 680-4 Kawazu, Iizuka, Fukuoka, 820-8502, Japan.
Sakai Y; Department of Bioscience and Bioinformatics, Kyushu Institute of Technology, 680-4 Kawazu, Iizuka, Fukuoka, 820-8502, Japan.
Boogerd FC; Department of Molecular Cell Biology, Faculty of Science, VU University Amsterdam, O|2 Building, Amsterdam, The Netherlands.
Kurata H; Department of Bioscience and Bioinformatics, Kyushu Institute of Technology, 680-4 Kawazu, Iizuka, Fukuoka, 820-8502, Japan.

BMC Bioinformatics ; 23(1): 455, 2022 Nov 01.

Article em En | MEDLINE | ID: mdl-36319952

Assuntos

Algoritmos; Modelos Biológicos; Cinética; Simulação por Computador; Aprendizado de Máquina

Palavras-chave

Global optimization; Kinetic modeling; Machine learning; Michaelis constant; Parameter estimation; Simulation; Systems biology

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Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Algoritmos / Modelos Biológicos Tipo de estudo: Prognostic_studies Idioma: En Revista: BMC Bioinformatics Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Japão

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