ArticleProceedings of the National Academy of Sciences of the United States of America2014
Controllability in protein interaction networks.
Article in Proceedings of the National Academy of Sciences of the United States of America, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 74 papers.
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Who cites it
74 citing papers in PubMed.
- Controllability Analysis of Intercellular Protein-Protein Interaction Networks.Computational and structural biotechnology journal · 2026Article
- Controllability preservation in complex networks via minimal edge configurations.Scientific reports · 2025Article
- Target controllability: a feed-forward greedy algorithm in complex networks, meeting Kalman's rank condition.Bioinformatics (Oxford, England) · 2024Article
- BootCellNet, a resampling-based procedure, promotes unsupervised identification of cell populations via robust inference of gene regulatory networks.PLoS computational biology · 2024Article
- A practically efficient algorithm for identifying critical control proteins in directed probabilistic biological networks.NPJ systems biology and applications · 2024Article
- Target control of linear directed networks based on the path cover problem.Scientific reports · 2024Article
- Measuring criticality in control of complex biological networks.NPJ systems biology and applications · 2024Article
- Identification of a central network hub of key prognostic genes based on correlation between transcriptomics and survival in patients with metastatic solid tumors.Therapeutic advances in medical oncology · 2024Article
- Global stabilizing control of large-scale biomolecular regulatory networks.Bioinformatics (Oxford, England) · 2023Article
- Article
- Prevalence and scalable control of localized networks.Proceedings of the National Academy of Sciences of the United States of America · 2022Article
- Domination based classification algorithms for the controllability analysis of biological interaction networks.Scientific reports · 2022Article
- Leader gene identification for digestive system cancers based on human subcellular location and cancer-related characteristics in protein-protein interaction networks.Frontiers in genetics · 2022Article
- Pharmacologically controlling protein-protein interactions through epichaperomes for therapeutic vulnerability in cancer.Communications biology · 2021Article
- Computationally Reconstructed Interactome ofInternational journal of molecular sciences · 2021Article
- Probabilistic Critical Controllability Analysis of Protein Interaction Networks Integrating Normal Brain Ageing Gene Expression Profiles.International journal of molecular sciences · 2021Article
- Constraint-based models for dominating protein interaction networks.IET systems biology · 2021Article
- Uncovering and classifying the role of driven nodes in control of complex networks.Scientific reports · 2021Article
- Stepwise target controllability identifies dysregulations of macrophage networks in multiple sclerosis.Network neuroscience (Cambridge, Mass.) · 2021Article
- Quantifying the Importance of Firms by Means of Reputation and Network Control.Frontiers in big data · 2021Article
14 more citing papers are in PubMed but not listed here.
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Abstract
Recently, the focus of network research shifted to network controllability, prompting us to determine proteins that are important for the control of the underlying interaction webs. In particular, we determined minimum dominating sets of proteins (MDSets) in human and yeast protein interaction networks. Such groups of proteins were defined as optimized subsets where each non-MDSet protein can be reached by an interaction from an MDSet protein. Notably, we found that MDSet proteins were enriched with essential, cancer-related, and virus-targeted genes. Their central position allowed MDSet proteins to connect protein complexes and to have a higher impact on network resilience than hub proteins. As for their involvement in regulatory functions, MDSet proteins were enriched with transcription factors and protein kinases and were significantly involved in bottleneck interactions, regulatory links, phosphorylation events, and genetic interactions.
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