Journal Article

Advances and challenges in logical modeling of cell cycle regulation: perspective for multi-scale, integrative yeast cell models

Matteo Barberis, Robert G. Todd and Lucas van der Zee

in Yeast Research

Volume 17, issue 1 ISSN: 1567-1356
Published online December 2016 | e-ISSN: 1567-1364 | DOI: https://dx.doi.org/10.1093/femsyr/fow103

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Abstract

The eukaryotic cell cycle is robustly designed, with interacting molecules organized within a definite topology that ensures temporal precision of its phase transitions. Its underlying dynamics are regulated by molecular switches, for which remarkable insights have been provided by genetic and molecular biology efforts. In a number of cases, this information has been made predictive, through computational models. These models have allowed for the identification of novel molecular mechanisms, later validated experimentally. Logical modeling represents one of the youngest approaches to address cell cycle regulation. We summarize the advances that this type of modeling has achieved to reproduce and predict cell cycle dynamics. Furthermore, we present the challenge that this type of modeling is now ready to tackle: its integration with intracellular networks, and its formalisms, to understand crosstalks underlying systems level properties, ultimate aim of multi-scale models. Specifically, we discuss and illustrate how such an integration may be realized, by integrating a minimal logical model of the cell cycle with a metabolic network.

Keywords: cell cycle; logical modeling; metabolism; constraint-based modeling; network integration; multi-scale modeling

Journal Article.  13950 words.  Illustrated.

Subjects: Biotechnology ; Genetics and Genomics ; Microbiology ; Molecular and Cell Biology ; Mycology and Fungi

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