ArticlePLoS computational biology2018
Identifying robust hysteresis in networks.
Article in PLoS computational biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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.
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Who cites it
14 citing papers in PubMed.
- The Emergent Architecture of Autonomous Clocks Described by Computational Algorithms of Regulatory Networks.Advances in experimental medicine and biology · 2026Article
- Petri net on expanded networks computes the dynamics of finite multilevel models.Interface focus · 2025Article
- Network topology and interaction logic determine states it supports.NPJ systems biology and applications · 2024Review
- A yeast cell cycle pulse generator model shows consistency with multiple oscillatory and checkpoint mutant datasets.Mathematical biosciences · 2024Article
- Oscillator death in coupled biochemical oscillators.Mathematics of control, signals, and systems : MCSS · 2023Article
- Assessing biological network dynamics: comparing numerical simulations with analytical decomposition of parameter space.NPJ systems biology and applications · 2023Article
- Robustness and reproducibility of simple and complex synthetic logic circuit designs using a DBTL loop.Synthetic biology (Oxford, England) · 2023Article
- Experimental guidance for discovering genetic networks through hypothesis reduction on time series.PLoS computational biology · 2022Article
- Joint Realizability of Monotone Boolean Functions.Theoretical computer science · 2022Article
- The partition representation of enzymatic reaction networks and its application for searching bi-stable reaction systems.PloS one · 2022Article
- Rational design of complex phenotype via network models.PLoS computational biology · 2021Article
- Mapping parameter spaces of biological switches.PLoS computational biology · 2021Article
- Multi-parameter exploration of dynamics of regulatory networks.Bio Systems · 2020Review
- Multistability in the epithelial-mesenchymal transition network.BMC bioinformatics · 2020Article
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
We present a new modeling and computational tool that computes rigorous summaries of network dynamics over large sets of parameter values. These summaries, organized in a database, can be searched for observed dynamics, e.g., bistability and hysteresis, to discover parameter regimes over which they are supported. We illustrate our approach on several networks underlying the restriction point of the cell cycle in humans and yeast. We rank networks by how robustly they support hysteresis, which is the observed phenotype. We find that the best 6-node human network and the yeast network share similar topology and robustness of hysteresis, in spite of having no homology between the corresponding nodes of the network. Our approach provides a new tool linking network structure and dynamics.
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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.