ArticlePhysical review. X
Control of Stochastic and Induced Switching in Biophysical Networks.
Article in Physical review. X. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 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
25 citing papers in PubMed.
- Molecular noise modulates transitions in the cell-fate differentiation landscape.NPJ systems biology and applications · 2026Article
- Energy Landscape Reveals the Underlying Mechanism of Cancer-Adipose Conversion in Gene Network Models.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024Article
- Irreversibility in bacterial regulatory networks.Science advances · 2024Article
- Cell reprogramming design by transfer learning of functional transcriptional networks.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- Article
- Controlling brain dynamics: Landscape and transition path for working memory.PLoS computational biology · 2023Article
- Landscape and kinetic path quantify critical transitions in epithelial-mesenchymal transition.Biophysical journal · 2021Article
- Reconciling periodic rhythms of large-scale biological networks by optimal control.Royal Society open science · 2020Article
- Landscape inferred from gene expression data governs pluripotency in embryonic stem cells.Computational and structural biotechnology journal · 2020Article
- Harnessing tipping points in complex ecological networks.Journal of the Royal Society, Interface · 2019Article
- Degree Dispersion Increases the Rate of Rare Events in Population Networks.Physical review letters · 2019Article
- A multiscale model of epigenetic heterogeneity-driven cell fate decision-making.PLoS computational biology · 2019Article
- State observation and sensor selection for nonlinear networks.IEEE transactions on control of network systems · 2018Article
- Role of noise and parametric variation in the dynamics of gene regulatory circuits.NPJ systems biology and applications · 2018Article
- A landscape view on the interplay between EMT and cancer metastasis.NPJ systems biology and applications · 2018Article
- Target Control in Logical Models Using the Domain of Influence of Nodes.Frontiers in physiology · 2018Article
- Potential landscape of high dimensional nonlinear stochastic dynamics with large noise.Scientific reports · 2017Article
- Large order fluctuations, switching, and control in complex networks.Scientific reports · 2017Article
- Extinction pathways and outbreak vulnerability in a stochastic Ebola model.Journal of the Royal Society, Interface · 2017Article
- Intrinsic Noise Profoundly Alters the Dynamics and Steady State of Morphogen-Controlled Bistable Genetic Switches.PLoS computational biology · 2016Article
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
Noise caused by fluctuations at the molecular level is a fundamental part of intracellular processes. While the response of biological systems to noise has been studied extensively, there has been limited understanding of how to exploit it to induce a desired cell state. Here we present a scalable, quantitative method based on the Freidlin-Wentzell action to predict and control noise-induced switching between different states in genetic networks that, conveniently, can also control transitions between stable states in the absence of noise. We apply this methodology to models of cell differentiation and show how predicted manipulations of tunable factors can induce lineage changes, and further utilize it to identify new candidate strategies for cancer therapy in a cell death pathway model. This framework offers a systems approach to identifying the key factors for rationally manipulating biophysical dynamics, and should also find use in controlling other classes of noisy complex networks.
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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.