Research output: Contribution to journal › Article › peer-review
Mathematical and numerical models of two asymmetric gene networks. / Golubyatnikov, Vladimir Petrovich; Kazantsev, Maxim Valer evich; Kirillova, Natalia Evgenievna et al.
In: Сибирские электронные математические известия, Vol. 15, 01.01.2018, p. 1271-1283.Research output: Contribution to journal › Article › peer-review
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TY - JOUR
T1 - Mathematical and numerical models of two asymmetric gene networks
AU - Golubyatnikov, Vladimir Petrovich
AU - Kazantsev, Maxim Valer evich
AU - Kirillova, Natalia Evgenievna
AU - Bukharina, Tatyana Anatol evna
AU - Furman, Dagmara Pavlovna
PY - 2018/1/1
Y1 - 2018/1/1
N2 - We construct and study mathematical models of two gene networks: a circular gene network of molecular repressilator, and a natural gene network which does not have circular structure. For the first model, we consider discretization of phase portrait of corresponding nonlinear dynamical system and find conditions of existence of an oscillating trajectory (cycle) in this phase portrait. The second model describes the central regulatory circuit of one gene network which acts on early stage of the fruit fly Drosophila melanogaster mechanoreceptors morphogenesis. For both models we give biological interpretations of our numerical simulations and give a short description of software elaborated specially for these experiments.
AB - We construct and study mathematical models of two gene networks: a circular gene network of molecular repressilator, and a natural gene network which does not have circular structure. For the first model, we consider discretization of phase portrait of corresponding nonlinear dynamical system and find conditions of existence of an oscillating trajectory (cycle) in this phase portrait. The second model describes the central regulatory circuit of one gene network which acts on early stage of the fruit fly Drosophila melanogaster mechanoreceptors morphogenesis. For both models we give biological interpretations of our numerical simulations and give a short description of software elaborated specially for these experiments.
KW - Brouwer fixed point theorem
KW - Cycles
KW - Gene networks models
KW - Grobman-Hartman theorem
KW - Hyperbolic equilibrium points
KW - Nonlinear dynamical systems
KW - Numerical analysis
KW - Phase portraits
UR - http://www.scopus.com/inward/record.url?scp=85071436589&partnerID=8YFLogxK
U2 - 10.17377/semi.2018.15.103
DO - 10.17377/semi.2018.15.103
M3 - Article
AN - SCOPUS:85071436589
VL - 15
SP - 1271
EP - 1283
JO - Сибирские электронные математические известия
JF - Сибирские электронные математические известия
SN - 1813-3304
ER -
ID: 22322625