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Predictive Dynamical Modelling MicroRNAs Role in Complex Networks

Predictive Dynamical Modelling MicroRNAs Role in Complex Networks

Elena V. Nikolova, Ralf Herwig, Svetoslav G. Nikolov, Valko G. Petrov
Copyright: © 2013 |Pages: 41
ISBN13: 9781466636040|ISBN10: 1466636041|EISBN13: 9781466636057
DOI: 10.4018/978-1-4666-3604-0.ch056
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MLA

Nikolova, Elena V., et al. "Predictive Dynamical Modelling MicroRNAs Role in Complex Networks." Bioinformatics: Concepts, Methodologies, Tools, and Applications, edited by Information Resources Management Association, IGI Global, 2013, pp. 1072-1112. https://doi.org/10.4018/978-1-4666-3604-0.ch056

APA

Nikolova, E. V., Herwig, R., Nikolov, S. G., & Petrov, V. G. (2013). Predictive Dynamical Modelling MicroRNAs Role in Complex Networks. In I. Management Association (Ed.), Bioinformatics: Concepts, Methodologies, Tools, and Applications (pp. 1072-1112). IGI Global. https://doi.org/10.4018/978-1-4666-3604-0.ch056

Chicago

Nikolova, Elena V., et al. "Predictive Dynamical Modelling MicroRNAs Role in Complex Networks." In Bioinformatics: Concepts, Methodologies, Tools, and Applications, edited by Information Resources Management Association, 1072-1112. Hershey, PA: IGI Global, 2013. https://doi.org/10.4018/978-1-4666-3604-0.ch056

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Abstract

The aim of this chapter is to give an extended analytical consideration of mathematical modelling of the microRNA role in cancer networks. For this purpose, ordinary and partial differential equations are used for synthesizing and analyzing the models of gene, microRNAs and mRNAs concentration alterations as time-dependent variables related by functional and differential relations. The architecture of the models and the definitions of their components are inspired by the qualitative theory of differential equations. This chapter’s analysis shows that it is able to ensure the authenticity and validity of the following qualitative conclusions: (a) the rates of protein production decrease with the increasing constant production rate of microRNA at microRNA-mediated target regulation on mRNAs; (b) time delay has a stabilizing role in the interaction between the miRNA-17-92 cluster and the transcription factors E2F and Myc.

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