ArticlePRX life2023
Models of Cell Processes are Far from the Edge of Chaos.
Article in PRX life, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.
What it found
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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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
22 citing papers in PubMed, 1 synthesis or guideline pooled it.
- A meta-analysis of Boolean network models reveals design principles of gene regulatory networks.Science advances · 2024Pooled it
- BoolForge: controlled generation and analysis of Boolean functions and networks.Bioinformatics (Oxford, England) · 2026Article
- Characterizing open-ended evolution through undecidability mechanisms in random Boolean networks.NPJ systems biology and applications · 2026Article
- A Dataset of Benchmark Boolean Models for Gene Regulatory Networks.Scientific data · 2026Article
- HHIP's dynamic role in epithelial wound healing reveals a potential mechanism of COPD susceptibility.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Succession-diagram-based Markov chains reveal the attractor landscape of asynchronous Boolean networks.NPJ systems biology and applications · 2026Article
- Dynamics of attractor transitions in Boolean networks under noise.Chaos (Woodbury, N.Y.) · 2026Article
- 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
- Attractors are less stable than their basins: Canalization creates a coherence gap in gene regulatory networks.bioRxiv : the preprint server for biology · 2025Article
- CANA v1.0.0: efficient quantification of canalization in automata networks.Bioinformatics (Oxford, England) · 2025Article
- Upper bound for the stability of Boolean networks.Physical review. E · 2025Article
- Critical assessment of the ability of Boolean threshold models to describe gene regulatory network dynamics.PNAS nexus · 2025Article
- Article
- Automated model refinement using perturbation-observation pairs.NPJ systems biology and applications · 2025Article
- An open problem: Why are motif-avoidant attractors so rare in asynchronous Boolean networks?Journal of mathematical biology · 2025Article
- Mapping the attractor landscape of Boolean networks with biobalm.Bioinformatics (Oxford, England) · 2025Article
- Improving neuroendocrine tumor treatments with mathematical modeling: lessons from other endocrine cancers.Endocrine oncology (Bristol, England) · 2025Review
- HHIP's Dynamic Role in Epithelial Wound Healing Reveals a Potential Mechanism of COPD Susceptibility.bioRxiv : the preprint server for biology · 2024Article
- The Effect of Noise on the Density Classification Task for Various Cellular Automata Rules.ALIFE : proceedings of the artificial life conference. International Conference on Artificial Life · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
Complex living systems are thought to exist at the "edge of chaos" separating the ordered dynamics of robust function from the disordered dynamics of rapid environmental adaptation. Here, a deeper inspection of 72 experimentally supported discrete dynamical models of cell processes reveals previously unobserved order on long time scales, suggesting greater rigidity in these systems than was previously conjectured. We find that propagation of internal perturbations is transient in most cases, and that even when large perturbation cascades persist, their phenotypic effects are often minimal. Moreover, we find evidence that stochasticity and desynchronization can lead to increased recovery from regulatory perturbation cascades. Our analysis relies on new measures that quantify the tendency of perturbations to spread through a discrete dynamical system. Computing these measures was not feasible using current methodology; thus, we developed a multipurpose CUDA-based simulation tool, which we have made available as the open-source Python library cubewalkers. Based on novel measures and simulations, our results suggest that-contrary to current theory-cell processes are ordered and far from the edge of chaos.
Identifiers
What OpenQuestion holds
Registered trials
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.