Title :
Biochemical metabolic modeling using fuzzy concepts
Author :
Solaiman, B. ; Picart, D.
Author_Institution :
Ecole Nat. Superieure des Telecommun. de Bretagne, Brest, France
fDate :
31 Oct-3 Nov 1996
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;
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
DOI :
10.1109/IEMBS.1996.646308
