FEDMA--a simple algorithm for theoretical modeling of linear metabolic pathways: from fuzzy data sets to prediction and experiment. | Zendy

Piotr H. Pawłowski | Zendy; Piotr Zielenkiewicz | Zendy

Open Access

FEDMA--a simple algorithm for theoretical modeling of linear metabolic pathways: from fuzzy data sets to prediction and experiment.

Author(s) -

Piotr H. Pawłowski,

Piotr Zielenkiewicz

Publication year - 2005

Publication title -

acta biochimica polonica

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.452

H-Index - 78

eISSN - 1734-154X

pISSN - 0001-527X

DOI - 10.18388/abp.2005_3488

Subject(s) - fuzzy logic , experimental data , simple (philosophy) , division (mathematics) , basis (linear algebra) , range (aeronautics) , biological system , algorithm , missing data , computer science , mathematics , statistics , artificial intelligence , biology , materials science , philosophy , geometry , arithmetic , epistemology , composite material

A theoretical model of a chain of irreversible Michaelis-Menten reactions proceeding inside a living cell, taking cell growth, division and subcellular compartmentation into account, was proposed. It became a basis for the construction of a "fuzzy" enzymatic data-modeling algorithm (FEDMA) - a procedure allowing the estimation of missing parameter values for the modeled system, in accordance both with the derived theoretical rules and the available experimental data. The obtained tool was tested to model the heme biosynthesis pathway in Saccharomyces cerevisiae, where about 40% of parameters remain unknown. The missing parameters estimated by means of FEDMA fall in the range of expected values.

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