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Int. J. Mol. Sci. 2019, 20(7), 1725; https://doi.org/10.3390/ijms20071725

Precise Modeling of the Protective Effects of Quercetin against Mycotoxin via System Identification with Neural Networks

1
Division of Electronics Engineering and Research Center for Intelligent Robots, Chonbuk National University, Jeonju 54896, Korea
2
College of Pharmacy and Research Institute of Pharmaceutical Sciences, Gyeongsang National University, Jinju 52828, Korea
*
Authors to whom correspondence should be addressed.
These authors contributed equally to this work.
Received: 8 March 2019 / Revised: 1 April 2019 / Accepted: 1 April 2019 / Published: 8 April 2019
(This article belongs to the Section Molecular Biophysics)
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Abstract

Cell cytotoxicity assays, such as cell viability and lactate dehydrogenase (LDH) activity assays, play an important role in toxicological studies of pharmaceutical compounds. However, precise modeling for cytotoxicity studies is essential for successful drug discovery. The aim of our study was to develop a computational modeling that is capable of performing precise prediction, processing, and data representation of cell cytotoxicity. For this, we investigated protective effect of quercetin against various mycotoxins (MTXs), including citrinin (CTN), patulin (PAT), and zearalenol (ZEAR) in four different human cancer cell lines (HeLa, PC-3, Hep G2, and SK-N-MC) in vitro. In addition, the protective effect of quercetin (QCT) against various MTXs was verified via modeling of their nonlinear protective functions using artificial neural networks. The protective model of QCT is built precisely via learning of sparsely measured experimental data by the artificial neural networks (ANNs). The neuromodel revealed that QCT pretreatment at doses of 7.5 to 20 μg/mL significantly attenuated MTX-induced alteration of the cell viability and the LDH activity on HeLa, PC-3, Hep G2, and SK-N-MC cell lines. It has shown that the neuromodel can be used to predict the protective effect of QCT against MTX-induced cytotoxicity for the measurement of percentage (%) of inhibition, cell viability, and LDH activity of MTXs. View Full-Text
Keywords: cell cytotoxicity; mycotoxins; quercetin; artificial neural networks; computational modeling cell cytotoxicity; mycotoxins; quercetin; artificial neural networks; computational modeling
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
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Yang, C.; Bahar, E.; Adhikari, S.P.; Kim, S.-J.; Kim, H.; Yoon, H. Precise Modeling of the Protective Effects of Quercetin against Mycotoxin via System Identification with Neural Networks. Int. J. Mol. Sci. 2019, 20, 1725.

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