The development of the previously created technique of fuzzy recognition of proteins in population genetics during gel electrophoresis for the case of 2D electrophoresis is proposed. For a more complete separation of proteins with a similar mass in a mixture, they are first subjected to isoelectric focusing in one direction, and then electrophoresis is carried out in the perpendicular direction. Isoelectric focusing is a type of zone electrophoresis that separates protein molecules based on the difference in their isoelectric points. Localization of proteins after isoelectric focusing is uneven; in addition, the movement of proteins during electrophoresis occurs no longer along a straight cuvette, but in a plane. All this introduces additional distortions in the numerical determination of the mass of proteins. The technique we have developed involves the construction of an experimental membership function for 2D electrophoresis, its approximation by a Gaussian or polynomial surface, and, then, determination of the fuzzy mass of proteins. The features of fuzzy protein recognition for 2D electrophoresis are considered.
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26 September 2022
APPLICATION OF MATHEMATICS IN TECHNICAL AND NATURAL SCIENCES: 13th International Hybrid Conference for Promoting the Application of Mathematics in Technical and Natural Sciences - AMiTaNS’21
24–29 June 2021
Albena, Bulgaria
Research Article|
September 26 2022
Fuzzy recognition of proteins in 2D electrophoresis in population genetics Available to Purchase
Yu. B. Olevska;
Yu. B. Olevska
a)
1
Department of Mathematics, Dnipro Polytechnic National Technical University
, 19 Dmytry Yavornytskyi Ave, 49600 Dnipro, Ukraine
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V. I. Olevskyi;
V. I. Olevskyi
b)
2
Mathematic Department of State Higher Educational Institution “Ukrainian State University of Chemical Technology”
, 8 Gagarin Ave, 49005 Dnipro, Ukraine
b)Corresponding author: [email protected]
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N. M. Ausheva;
N. M. Ausheva
c)
3
Department of Design Automation of Energy Processes and Systems, National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnical Institute”
, 37 Victory Ave, 03056 Kyiv, Ukraine
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O. V. Olevskyi
O. V. Olevskyi
d)
4
Oles Honchar Dnipro National University
, 9 Naukova str., 49010 Dnipro, Ukraine
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Yu. B. Olevska
1,a)
V. I. Olevskyi
2,b)
N. M. Ausheva
3,c)
O. V. Olevskyi
4,d)
1
Department of Mathematics, Dnipro Polytechnic National Technical University
, 19 Dmytry Yavornytskyi Ave, 49600 Dnipro, Ukraine
2
Mathematic Department of State Higher Educational Institution “Ukrainian State University of Chemical Technology”
, 8 Gagarin Ave, 49005 Dnipro, Ukraine
3
Department of Design Automation of Energy Processes and Systems, National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnical Institute”
, 37 Victory Ave, 03056 Kyiv, Ukraine
4
Oles Honchar Dnipro National University
, 9 Naukova str., 49010 Dnipro, Ukraine
b)Corresponding author: [email protected]
AIP Conf. Proc. 2522, 040004 (2022)
Citation
Yu. B. Olevska, V. I. Olevskyi, N. M. Ausheva, O. V. Olevskyi; Fuzzy recognition of proteins in 2D electrophoresis in population genetics. AIP Conf. Proc. 26 September 2022; 2522 (1): 040004. https://doi.org/10.1063/5.0100766
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