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Chaos and hyperchaos in simple gene network with negative feedback and time delays. / Khlebodarova, Tamara M.; Kogai, Vladislav V.; Fadeev, Stanislav I. et al.

In: Journal of Bioinformatics and Computational Biology, Vol. 15, No. 2, 1650042, 01.04.2017, p. 1650042.

Research output: Contribution to journalArticlepeer-review

Harvard

Khlebodarova, TM, Kogai, VV, Fadeev, SI & Likhoshvai, VA 2017, 'Chaos and hyperchaos in simple gene network with negative feedback and time delays', Journal of Bioinformatics and Computational Biology, vol. 15, no. 2, 1650042, pp. 1650042. https://doi.org/10.1142/S0219720016500426

APA

Khlebodarova, T. M., Kogai, V. V., Fadeev, S. I., & Likhoshvai, V. A. (2017). Chaos and hyperchaos in simple gene network with negative feedback and time delays. Journal of Bioinformatics and Computational Biology, 15(2), 1650042. [1650042]. https://doi.org/10.1142/S0219720016500426

Vancouver

Khlebodarova TM, Kogai VV, Fadeev SI, Likhoshvai VA. Chaos and hyperchaos in simple gene network with negative feedback and time delays. Journal of Bioinformatics and Computational Biology. 2017 Apr 1;15(2):1650042. 1650042. doi: 10.1142/S0219720016500426

Author

Khlebodarova, Tamara M. ; Kogai, Vladislav V. ; Fadeev, Stanislav I. et al. / Chaos and hyperchaos in simple gene network with negative feedback and time delays. In: Journal of Bioinformatics and Computational Biology. 2017 ; Vol. 15, No. 2. pp. 1650042.

BibTeX

@article{3aa6ce99fde54aaebcc55d8097d1a65e,
title = "Chaos and hyperchaos in simple gene network with negative feedback and time delays",
abstract = "Today there are examples that prove the existence of chaotic dynamics at all levels of organization of living systems, except intracellular, although such a possibility has been theoretically predicted. The lack of experimental evidence of chaos generation at the intracellular level in vivo may indicate that during evolution the cell got rid of chaos. This work allows the hypothesis that one of the possible mechanisms for avoiding chaos in gene networks can be a negative evolutionary selection, which prevents fixation or realization of regulatory circuits, creating too mild, from the biological point of view, conditions for the emergence of chaos. It has been shown that one of such circuits may be a combination of negative autoregulation of expression of transcription factors at the level of their synthesis and degradation. The presence of such a circuit results in formation of multiple branches of chaotic solutions as well as formation of hyperchaos with equal and sufficiently low values of the delayed argument that can be implemented not only in eukaryotic, but in prokaryotic cells.",
keywords = "deterministic chaos, feedback regulation, gene networks, Modeling, Feedback, Physiological, Time Factors, Models, Genetic, Gene Regulatory Networks, CIRCADIAN-RHYTHMS, ESCHERICHIA-COLI, TRANSCRIPTION, H-NS, AUTOREGULATION, MATHEMATICAL-MODEL, DYNAMICS, NANOG AUTOREPRESSION, OSCILLATIONS, EXPRESSION",
author = "Khlebodarova, {Tamara M.} and Kogai, {Vladislav V.} and Fadeev, {Stanislav I.} and Likhoshvai, {Vitaly A.}",
year = "2017",
month = apr,
day = "1",
doi = "10.1142/S0219720016500426",
language = "English",
volume = "15",
pages = "1650042",
journal = "Journal of Bioinformatics and Computational Biology",
issn = "0219-7200",
publisher = "World Scientific Publishing Co. Pte Ltd",
number = "2",

}

RIS

TY - JOUR

T1 - Chaos and hyperchaos in simple gene network with negative feedback and time delays

AU - Khlebodarova, Tamara M.

AU - Kogai, Vladislav V.

AU - Fadeev, Stanislav I.

AU - Likhoshvai, Vitaly A.

PY - 2017/4/1

Y1 - 2017/4/1

N2 - Today there are examples that prove the existence of chaotic dynamics at all levels of organization of living systems, except intracellular, although such a possibility has been theoretically predicted. The lack of experimental evidence of chaos generation at the intracellular level in vivo may indicate that during evolution the cell got rid of chaos. This work allows the hypothesis that one of the possible mechanisms for avoiding chaos in gene networks can be a negative evolutionary selection, which prevents fixation or realization of regulatory circuits, creating too mild, from the biological point of view, conditions for the emergence of chaos. It has been shown that one of such circuits may be a combination of negative autoregulation of expression of transcription factors at the level of their synthesis and degradation. The presence of such a circuit results in formation of multiple branches of chaotic solutions as well as formation of hyperchaos with equal and sufficiently low values of the delayed argument that can be implemented not only in eukaryotic, but in prokaryotic cells.

AB - Today there are examples that prove the existence of chaotic dynamics at all levels of organization of living systems, except intracellular, although such a possibility has been theoretically predicted. The lack of experimental evidence of chaos generation at the intracellular level in vivo may indicate that during evolution the cell got rid of chaos. This work allows the hypothesis that one of the possible mechanisms for avoiding chaos in gene networks can be a negative evolutionary selection, which prevents fixation or realization of regulatory circuits, creating too mild, from the biological point of view, conditions for the emergence of chaos. It has been shown that one of such circuits may be a combination of negative autoregulation of expression of transcription factors at the level of their synthesis and degradation. The presence of such a circuit results in formation of multiple branches of chaotic solutions as well as formation of hyperchaos with equal and sufficiently low values of the delayed argument that can be implemented not only in eukaryotic, but in prokaryotic cells.

KW - deterministic chaos

KW - feedback regulation

KW - gene networks

KW - Modeling

KW - Feedback, Physiological

KW - Time Factors

KW - Models, Genetic

KW - Gene Regulatory Networks

KW - CIRCADIAN-RHYTHMS

KW - ESCHERICHIA-COLI

KW - TRANSCRIPTION

KW - H-NS

KW - AUTOREGULATION

KW - MATHEMATICAL-MODEL

KW - DYNAMICS

KW - NANOG AUTOREPRESSION

KW - OSCILLATIONS

KW - EXPRESSION

UR - http://www.scopus.com/inward/record.url?scp=85008397781&partnerID=8YFLogxK

U2 - 10.1142/S0219720016500426

DO - 10.1142/S0219720016500426

M3 - Article

C2 - 28052708

AN - SCOPUS:85008397781

VL - 15

SP - 1650042

JO - Journal of Bioinformatics and Computational Biology

JF - Journal of Bioinformatics and Computational Biology

SN - 0219-7200

IS - 2

M1 - 1650042

ER -

ID: 10036042