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)
Hauptverfasser: Daugmaudis, Justinas V., Laurynėnas, Audrius, Kulys, Juozas, Ivanauskas, Feliksas
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Sprache:eng
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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.  
ISSN:0132-2818
2335-898X
DOI:10.15388/LMR.A.2016.03