A general biochemical kinetics data fitting algorithm for quasi-steady-state detection | Zendy

Justinas V. Daugmaudis | Zendy; Audrius Laurynėnas | Zendy; Juozas Kulys | Zendy; Feliksas Ivanauskas | Zendy

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A general biochemical kinetics data fitting algorithm for quasi-steady-state detection

Author(s) -

Justinas V. Daugmaudis,

Audrius Laurynėnas,

Juozas Kulys,

Feliksas Ivanauskas

Publication year - 2016

Publication title -

lietuvos matematikos rinkinys

Language(s) - English

Resource type - Journals

eISSN - 2335-898X

pISSN - 0132-2818

DOI - 10.15388/lmr.a.2016.03

Subject(s) - maxima and minima , kinetics , a priori and a posteriori , algorithm , steady state (chemistry) , computer science , experimental data , test data , biological system , data mining , mathematics , chemistry , statistics , physics , biology , quantum mechanics , mathematical analysis , philosophy , epistemology , programming language

. 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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