Тип публикации: доклад, тезисы доклада, статья из сборника материалов конференций

Год издания: 2017

Идентификатор DOI: 10.1142/S0219720016500451

Ключевые слова: gene networks modeling, graphs structural properties, integrated gene networks, Mosaic gene networks, ordinary differential equations

Аннотация: Gene network modeling is one of the widely used approaches in systems biology. It allows for the study of complex genetic systems function, including so-called mosaic gene networks, which consist of functionally interacting subnetworks. We conducted a study of a mosaic gene networks modeling method based on integration of models ofПоказать полностьюgene subnetworks by linear control functionals. An automatic modeling of 10,000 synthetic mosaic gene regulatory networks was carried out using computer experiments on gene knockdowns/knockouts. Structural analysis of graphs of generated mosaic gene regulatory networks has revealed that the most important factor for building accurate integrated mathematical models, among those analyzed in the study, is data on expression of genes corresponding to the vertices with high properties of centrality. © 2017 World Scientific Publishing Europe Ltd.

Журнал: Journal of Bioinformatics and Computational Biology

Выпуск журнала: Vol. 15, Is. 2

Номера страниц: 1650045

ISSN журнала: 02197200

Издатель: World Scientific Publishing Co. Pte Ltd

• Petrovskaya O.V. (Federal Research Center Institute of Cytology and Genetics, Siberian Branch, Russian Academy of Sciences, Prospekt Lavrentyeva 10, Novosibirsk, Russian Federation)
• Petrovskiy E.D. (Federal Research Center Institute of Cytology and Genetics, Siberian Branch, Russian Academy of Sciences, Prospekt Lavrentyeva 10, Novosibirsk, Russian Federation)
• Lavrik I.N. (Federal Research Center Institute of Cytology and Genetics, Siberian Branch, Russian Academy of Sciences, Prospekt Lavrentyeva 10, Novosibirsk, Russian Federation, Otto von Guericke University Magdeburg, Medical Faculty, Department Translational Inflammation Research, Building 28, Pfälzer Platz, Magdeburg, Germany)
• Ivanisenko V.A. (Federal Research Center Institute of Cytology and Genetics, Siberian Branch, Russian Academy of Sciences, Prospekt Lavrentyeva 10, Novosibirsk, Russian Federation)

• Scopus