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Biochemical Metabolic Modelling Using Fuzzy Type-2.
American Journal of Physical Chemistry
Volume 1, Issue 1, December 2012, Pages: 14-17
Received: Dec. 28, 2012; Published: Dec. 30, 2012
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Zahra Shabaninia, Faridoon Shabaninia, Senior Member, IEEE, Shiraz University, Iran
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In his study a new approach, the use of fuzzy logic type-2 in modeling biochemical reactions is shown. In fact, each enzymatic reaction is modeled by means of a "sigmoid transfer function" relating input and output substrate concentrations. The slant of this function is adjusted using fuzzy type-2. This adjustment is conducted depending on the enzymatic reaction type (having activator/inhibitors or not). The obtained model seems promising in order to permit quantitative results to process data concerning adverse drugs reactions. In this paper it is also proved that by fuzzy type-2 logic, the performance characteristics of the modeling will be improved using the proposed method.
Biochemical, Metabolic, Modeling, Fuzzy Type-2
To cite this article
Zahra Shabaninia, Biochemical Metabolic Modelling Using Fuzzy Type-2., American Journal of Physical Chemistry. Vol. 1, No. 1, 2012, pp. 14-17. doi: 10.11648/j.ajpc.20120101.13
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