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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| Hauptverfasser: | , , , , |
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| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
BMC
2022-11-01
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| Schriftenreihe: | BMC Bioinformatics |
| Schlagworte: | |
| Online-Zugang: | https://doi.org/10.1186/s12859-022-05009-x |
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