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.
| Published in | American Journal of Physical Chemistry (Volume 1, Issue 1) |
| DOI | 10.11648/j.ajpc.20120101.13 |
| Page(s) | 14-17 |
| Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
| Copyright |
Copyright © The Author(s), 2012. Published by Science Publishing Group |
Biochemical, Metabolic, Modeling, Fuzzy Type-2
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APA Style
Zahra Shabaninia. (2012). Biochemical Metabolic Modelling Using Fuzzy Type-2.. American Journal of Physical Chemistry, 1(1), 14-17. https://doi.org/10.11648/j.ajpc.20120101.13
ACS Style
Zahra Shabaninia. Biochemical Metabolic Modelling Using Fuzzy Type-2.. Am. J. Phys. Chem. 2012, 1(1), 14-17. doi: 10.11648/j.ajpc.20120101.13
AMA Style
Zahra Shabaninia. Biochemical Metabolic Modelling Using Fuzzy Type-2.. Am J Phys Chem. 2012;1(1):14-17. doi: 10.11648/j.ajpc.20120101.13
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Download@article{10.11648/j.ajpc.20120101.13,
author = {Zahra Shabaninia},
title = {Biochemical Metabolic Modelling Using Fuzzy Type-2.},
journal = {American Journal of Physical Chemistry},
volume = {1},
number = {1},
pages = {14-17},
doi = {10.11648/j.ajpc.20120101.13},
url = {https://doi.org/10.11648/j.ajpc.20120101.13},
eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajpc.20120101.13},
abstract = {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.},
year = {2012}
}
TY - JOUR T1 - Biochemical Metabolic Modelling Using Fuzzy Type-2. AU - Zahra Shabaninia Y1 - 2012/12/30 PY - 2012 N1 - https://doi.org/10.11648/j.ajpc.20120101.13 DO - 10.11648/j.ajpc.20120101.13 T2 - American Journal of Physical Chemistry JF - American Journal of Physical Chemistry JO - American Journal of Physical Chemistry SP - 14 EP - 17 PB - Science Publishing Group SN - 2327-2449 UR - https://doi.org/10.11648/j.ajpc.20120101.13 AB - 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. VL - 1 IS - 1 ER -
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