ArticlePloS one2013
Perturbation centrality and turbine: a novel centrality measure obtained using a versatile network dynamics tool.
Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Network-driven cancer cell avatars for combination discovery and biomarker identification for DNA damage response inhibitors.NPJ systems biology and applications · 2024Article
- A Two-Phase Feature Selection Method for Identifying Influential Spreaders of Disease Epidemics in Complex Networks.Entropy (Basel, Switzerland) · 2023Article
- Review
- Role of a high centrality residue in protein dynamics and thermal stability.Journal of structural biology · 2021Article
- Mutations close to a hub residue affect the distant active site of a GH1 β-glucosidase.PloS one · 2018Article
- Intracellular and intercellular signaling networks in cancer initiation, development and precision anti-cancer therapy: RAS acts as contextual signaling hub.Seminars in cell & developmental biology · 2016Review
- Evolution of Centrality Measurements for the Detection of Essential Proteins in Biological Networks.Frontiers in physiology · 2016Article
- Targets of drugs are generally, and targets of drugs having side effects are specifically good spreaders of human interactome perturbations.Scientific reports · 2015Article
- CentiServer: A Comprehensive Resource, Web-Based Application and R Package for Centrality Analysis.PloS one · 2015Article
Corrections and comments
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Authors and funding
2 authors.
Funding
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Abstract
Analysis of network dynamics became a focal point to understand and predict changes of complex systems. Here we introduce Turbine, a generic framework enabling fast simulation of any algorithmically definable dynamics on very large networks. Using a perturbation transmission model inspired by communicating vessels, we define a novel centrality measure: perturbation centrality. Hubs and inter-modular nodes proved to be highly efficient in perturbation propagation. High perturbation centrality nodes of the Met-tRNA synthetase protein structure network were identified as amino acids involved in intra-protein communication by earlier studies. Changes in perturbation centralities of yeast interactome nodes upon various stresses well recapitulated the functional changes of stressed yeast cells. The novelty and usefulness of perturbation centrality was validated in several other model, biological and social networks. The Turbine software and the perturbation centrality measure may provide a large variety of novel options to assess signaling, drug action, environmental and social interventions.
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