Biochemical metabolic modeling using fuzzy concepts

Author

Solaiman, B. ; Picart, D.

Author_Institution

Ecole Nat. Superieure des Telecommun. de Bretagne, Brest, France

Volume

5

fYear

1996

fDate

31 Oct-3 Nov 1996

Firstpage

1895

Abstract

In this study, the use of fuzzy logic concepts in modelling biochemical reactions is shown. In fact, each enzymatic reaction is modeled by means of a “sigmoidal transfer function” relating input and output substrate concentrations. The slant of this function is adjusted using fuzzy concepts. This adjustment is conducted depending on the enzymatic reaction type (having activators/inhibitors or not). The obtained model seems to be promising in order to permit quantitative results to process data concerning adverse drug reactions

Keywords

chemical reactions; fuzzy logic; molecular biophysics; physiological models; proteins; activators; adverse drug reactions; biochemical metabolic modeling; enzymatic reaction; enzymatic reaction type; function slant adjustment; fuzzy concepts; inhibitors; input substrate concentration; output substrate concentration; sigmoidal transfer function; Chemistry; Differential equations; Erbium; Fuzzy logic; Fuzzy sets; In vitro; In vivo; Neural networks; Testing; Transfer functions;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 1996. Bridging Disciplines for Biomedicine. Proceedings of the 18th Annual International Conference of the IEEE

Conference_Location

Amsterdam

Print_ISBN

0-7803-3811-1

Type

conf

DOI

10.1109/IEMBS.1996.646308

Filename

646308