ArticleScientific reports2013
Discovery of a kernel for controlling biomolecular regulatory networks.
Article in Scientific reports, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers.
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Who cites it
48 citing papers in PubMed.
- Controllability of the gene regulatory network in zebrafish embryogenesis.Scientific reports · 2025Article
- Reverse control of biological networks to restore phenotype landscapes.Science advances · 2025Article
- Global stabilization of Boolean networks with applications to biomolecular network control.Scientific reports · 2025Article
- Network community detection via neural embeddings.Nature communications · 2024Article
- Network dynamics-based subtyping of Alzheimer's disease with microglial genetic risk factors.Alzheimer's research & therapy · 2024Article
- Canalizing kernel for cell fate determination.Briefings in bioinformatics · 2024Article
- Decoding the principle of cell-fate determination for its reverse control.NPJ systems biology and applications · 2024Article
- A review on gene regulatory network reconstruction algorithms based on single cell RNA sequencing.Genes & genomics · 2024Review
- Normalizing Input-Output Relationships of Cancer Networks for Reversion Therapy.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2023Article
- Critical transition and reversion of tumorigenesis.Experimental & molecular medicine · 2023Review
- Emergent Criticality in Coupled Boolean Networks.Entropy (Basel, Switzerland) · 2023Article
- Global stabilizing control of large-scale biomolecular regulatory networks.Bioinformatics (Oxford, England) · 2023Article
- Review
- Network Dynamics Caused by Genomic Alteration Determine the Therapeutic Response to FGFR Inhibitors for Lung Cancer.Biomolecules · 2022Article
- Systemic approaches using single cell transcriptome reveal that C/EBPγ regulates autophagy under amino acid starved condition.Nucleic acids research · 2022Article
- Influence maximization in Boolean networks.Nature communications · 2022Article
- Identification of dynamic driver sets controlling phenotypical landscapes.Computational and structural biotechnology journal · 2022Article
- Informational architecture across non-living and living collectives.Theory in biosciences = Theorie in den Biowissenschaften · 2021Review
- The basis of easy controllability in Boolean networks.Nature communications · 2021Article
- Parity and time reversal elucidate both decision-making in empirical models and attractor scaling in critical Boolean networks.Science advances · 2021Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Cellular behavior is determined not by a single molecule but by many molecules that interact strongly with one another and form a complex network. It is unclear whether cellular behavior can be controlled by regulating certain molecular components in the network. By analyzing a variety of biomolecular regulatory networks, we discovered that only a small fraction of the network components need to be regulated to govern the network dynamics and control cellular behavior. We defined a minimal set of network components that must be regulated to make the cell reach a desired stable state as the control kernel and developed a general algorithm for identifying it. We found that the size of the control kernel was related to both the topological and logical characteristics of a network. Intriguingly, the control kernel of the human signaling network included many drug targets and chemical-binding interactions, suggesting therapeutic application of the control kernel.
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