A general biochemical kinetics data fitting algorithm for quasi-steady-state detection
We develop a general algorithm for fitting the biochemical kinetics data. The developed algorithm searches and analyzes numerous minima. This approach allows us to analyze biochemical data without a priori quasi-steady-state assumptions. The algorithm allows us to treat the biochemical kinetics data...
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Veröffentlicht in: | Lietuvos matematikos rinkinys 2016-12, Vol.57 (A) |
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Hauptverfasser: | , , , |
Format: | Artikel |
Sprache: | eng |
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Online-Zugang: | Volltext |
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Zusammenfassung: | We develop a general algorithm for fitting the biochemical kinetics data. The developed algorithm searches and analyzes numerous minima. This approach allows us to analyze biochemical data without a priori quasi-steady-state assumptions. The algorithm allows us to treat the biochemical kinetics data that has varying degree of steadiness. We test the approach by analyzing experiment data from 4-nitrophenyl phosphate hydrolysis with alkaline phosphatase.
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ISSN: | 0132-2818 2335-898X |
DOI: | 10.15388/LMR.A.2016.03 |