ArticlePloS one2008
Boolean network model predicts cell cycle sequence of fission yeast.
Article in PloS one, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 150 papers.
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Who cites it
150 citing papers in PubMed.
- Canalization as a stabilizing principle of gene regulatory networks: a discrete dynamical systems perspective.NPJ systems biology and applications · 2026Review
- BioLogical: a universal analysis framework for biosystem logical dynamics.Computational and structural biotechnology journal · 2026Article
- Upper bound for the stability of Boolean networks.Physical review. E · 2025Article
- A comprehensive review of computational cell cycle models in guiding cancer treatment strategies.NPJ systems biology and applications · 2024Review
- Biologically meaningful regulatory logic enhances the convergence rate in Boolean networks and bushiness of their state transition graph.Briefings in bioinformatics · 2024Article
- Kernel-Based Particle Filtering for Scalable Inference in Partially Observed Boolean Dynamical Systems.IFAC-PapersOnLine · 2024Article
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- Approaches for Benchmarking Single-Cell Gene Regulatory Network Methods.Bioinformatics and biology insights · 2024Review
- Characterizing the Impact of Communication on Cellular and Collective Behavior Using a Three-Dimensional Multiscale Cellular Model.Entropy (Basel, Switzerland) · 2023Article
- Resonant learning in scale-free networks.PLoS computational biology · 2023Article
- A continuous-time stochastic Boolean model provides a quantitative description of the budding yeast cell cycle.Scientific reports · 2022Article
- Data-driven learning of Boolean networks and functions by optimal causation entropy principle.Patterns (New York, N.Y.) · 2022Article
- CANTATA-prediction of missing links in Boolean networks using genetic programming.Bioinformatics (Oxford, England) · 2022Article
- Review and assessment of Boolean approaches for inference of gene regulatory networks.Heliyon · 2022Review
- Effective connectivity determines the critical dynamics of biochemical networks.Journal of the Royal Society, Interface · 2022Article
- Informational architecture across non-living and living collectives.Theory in biosciences = Theorie in den Biowissenschaften · 2021Review
- Capturing dynamic relevance in Boolean networks using graph theoretical measures.Bioinformatics (Oxford, England) · 2021Article
- Two classes of functional connectivity in dynamical processes in networks.Journal of the Royal Society, Interface · 2021Article
- Boolean factor graph model for biological systems: the yeast cell-cycle network.BMC bioinformatics · 2021Article
- Simulating ATO Mechanism and EGFR Signaling with Fuzzy Logic and Petri Net.Journal of biomedical physics & engineering · 2021Article
90 more citing papers are in PubMed but not listed here.
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2 authors.
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No grant is acknowledged in the PubMed record.
Abstract
A Boolean network model of the cell-cycle regulatory network of fission yeast (Schizosaccharomyces Pombe) is constructed solely on the basis of the known biochemical interaction topology. Simulating the model in the computer faithfully reproduces the known activity sequence of regulatory proteins along the cell cycle of the living cell. Contrary to existing differential equation models, no parameters enter the model except the structure of the regulatory circuitry. The dynamical properties of the model indicate that the biological dynamical sequence is robustly implemented in the regulatory network, with the biological stationary state G1 corresponding to the dominant attractor in state space, and with the biological regulatory sequence being a strongly attractive trajectory. Comparing the fission yeast cell-cycle model to a similar model of the corresponding network in S. cerevisiae, a remarkable difference in circuitry, as well as dynamics is observed. While the latter operates in a strongly damped mode, driven by external excitation, the S. pombe network represents an auto-excited system with external damping.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.