ArticlePloS one2015
An Extended, Boolean Model of the Septation Initiation Network in S.Pombe Provides Insights into Its Regulation.
Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
4 citing papers in PubMed, 8 citations in OpenAlex.
- Unifying the mechanism of mitotic exit control in a spatiotemporal logical model.PLoS biology · 2020Article
- A comprehensive, mechanistically detailed, and executable model of the cell division cycle in Saccharomyces cerevisiae.Nature communications · 2019Article
- Expert curation for building network-based dynamical models: a case study on atherosclerotic plaque formation.Database : the journal of biological databases and curation · 2018Article
- Advances and challenges in logical modeling of cell cycle regulation: perspective for multi-scale, integrative yeast cell models.FEMS yeast research · 2017Review
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Authors and funding
8 authors at 2 institutions in 1 country.
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No grant is acknowledged in the PubMed record.
Abstract
Cytokinesis in fission yeast is controlled by the Septation Initiation Network (SIN), a protein kinase signaling network using the spindle pole body as scaffold. In order to describe the qualitative behavior of the system and predict unknown mutant behaviors we decided to adopt a Boolean modeling approach. In this paper, we report the construction of an extended, Boolean model of the SIN, comprising most SIN components and regulators as individual, experimentally testable nodes. The model uses CDK activity levels as control nodes for the simulation of SIN related events in different stages of the cell cycle. The model was optimized using single knock-out experiments of known phenotypic effect as a training set, and was able to correctly predict a double knock-out test set. Moreover, the model has made in silico predictions that have been validated in vivo, providing new insights into the regulation and hierarchical organization of the SIN.
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