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 -