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Numerical investigation of diagnostic properties of p53-dependent microRNAs. / Voropaeva, Olga F.; Senotrusova, Sofia D.; Shokin, Yurii I.

In: Russian Journal of Numerical Analysis and Mathematical Modelling, Vol. 32, No. 3, 27.06.2017, p. 203-213.

Research output: Contribution to journalArticlepeer-review

Harvard

Voropaeva, OF, Senotrusova, SD & Shokin, YI 2017, 'Numerical investigation of diagnostic properties of p53-dependent microRNAs', Russian Journal of Numerical Analysis and Mathematical Modelling, vol. 32, no. 3, pp. 203-213. https://doi.org/10.1515/rnam-2017-0018

APA

Voropaeva, O. F., Senotrusova, S. D., & Shokin, Y. I. (2017). Numerical investigation of diagnostic properties of p53-dependent microRNAs. Russian Journal of Numerical Analysis and Mathematical Modelling, 32(3), 203-213. https://doi.org/10.1515/rnam-2017-0018

Vancouver

Voropaeva OF, Senotrusova SD, Shokin YI. Numerical investigation of diagnostic properties of p53-dependent microRNAs. Russian Journal of Numerical Analysis and Mathematical Modelling. 2017 Jun 27;32(3):203-213. doi: 10.1515/rnam-2017-0018

Author

Voropaeva, Olga F. ; Senotrusova, Sofia D. ; Shokin, Yurii I. / Numerical investigation of diagnostic properties of p53-dependent microRNAs. In: Russian Journal of Numerical Analysis and Mathematical Modelling. 2017 ; Vol. 32, No. 3. pp. 203-213.

BibTeX

@article{83ee0b70c4654a4887221f8e2465ebac,
title = "Numerical investigation of diagnostic properties of p53-dependent microRNAs",
abstract = "In the present paper we propose a mathematical model and study numerically the functioning of the p53 tumors suppressor protein and the direct positive connection of microRNA molecules related to it. The adequacy of the model is confirmed by qualitative concordance of calculation results with the experimental data concerning transactivation of specific p53-dependent microRNAs. Estimates of stability of individual and p53-mediated properties of microRNA as factors in diagnosing cancer and neurodegenerative diseases are given within the framework of the accepted model.",
keywords = "delay differential equation, Mdm2, microRNA, Numerical simulation, p53, tumor marker.",
author = "Voropaeva, {Olga F.} and Senotrusova, {Sofia D.} and Shokin, {Yurii I.}",
year = "2017",
month = jun,
day = "27",
doi = "10.1515/rnam-2017-0018",
language = "English",
volume = "32",
pages = "203--213",
journal = "Russian Journal of Numerical Analysis and Mathematical Modelling",
issn = "0927-6467",
publisher = "Walter de Gruyter GmbH",
number = "3",

}

RIS

TY - JOUR

T1 - Numerical investigation of diagnostic properties of p53-dependent microRNAs

AU - Voropaeva, Olga F.

AU - Senotrusova, Sofia D.

AU - Shokin, Yurii I.

PY - 2017/6/27

Y1 - 2017/6/27

N2 - In the present paper we propose a mathematical model and study numerically the functioning of the p53 tumors suppressor protein and the direct positive connection of microRNA molecules related to it. The adequacy of the model is confirmed by qualitative concordance of calculation results with the experimental data concerning transactivation of specific p53-dependent microRNAs. Estimates of stability of individual and p53-mediated properties of microRNA as factors in diagnosing cancer and neurodegenerative diseases are given within the framework of the accepted model.

AB - In the present paper we propose a mathematical model and study numerically the functioning of the p53 tumors suppressor protein and the direct positive connection of microRNA molecules related to it. The adequacy of the model is confirmed by qualitative concordance of calculation results with the experimental data concerning transactivation of specific p53-dependent microRNAs. Estimates of stability of individual and p53-mediated properties of microRNA as factors in diagnosing cancer and neurodegenerative diseases are given within the framework of the accepted model.

KW - delay differential equation

KW - Mdm2

KW - microRNA

KW - Numerical simulation

KW - p53

KW - tumor marker.

UR - http://www.scopus.com/inward/record.url?scp=85021322099&partnerID=8YFLogxK

U2 - 10.1515/rnam-2017-0018

DO - 10.1515/rnam-2017-0018

M3 - Article

AN - SCOPUS:85021322099

VL - 32

SP - 203

EP - 213

JO - Russian Journal of Numerical Analysis and Mathematical Modelling

JF - Russian Journal of Numerical Analysis and Mathematical Modelling

SN - 0927-6467

IS - 3

ER -

ID: 10098911