ReviewTrends in cell biology2004
Computational approaches for modeling regulatory cellular networks.
Review in Trends in cell biology, 2004. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
21 citing papers in PubMed.
- Bayesian parameter estimation for dynamical models in systems biology.PLoS computational biology · 2022Article
- Optobiochemistry: Genetically Encoded Control of Protein Activity by Light.Annual review of biochemistry · 2021Review
- Quantifying the roles of space and stochasticity in computer simulations for cell biology and cellular biochemistry.Molecular biology of the cell · 2021Article
- Conceptual Evolution of Cell Signaling.International journal of molecular sciences · 2019Review
- Structure, signaling and the drug discovery of the Ras oncogene protein.BMB reports · 2017Review
- The Biological Function of the Prion Protein: A Cell Surface Scaffold of Signaling Modules.Frontiers in molecular neuroscience · 2017Article
- Review
- Network reconstruction based on proteomic data and prior knowledge of protein connectivity using graph theory.PloS one · 2015Article
- Scaffolding proteins: not such innocent bystanders.Current biology : CB · 2013Article
- CaMKII activation and dynamics are independent of the holoenzyme structure: an infinite subunit holoenzyme approximation.Physical biology · 2012Article
- Toxicity testing in the 21st century: a vision and a strategy.Journal of toxicology and environmental health. Part B, Critical reviews · 2010Article
- Hope for Humpty Dumpty: systems biology of cellular signaling.Plant physiology · 2010Article
- Information flow during gene activation by signaling molecules: ethylene transduction in Arabidopsis cells as a study system.BMC systems biology · 2009Article
- Integrating computational and biochemical studies to explore mechanisms in NF-{kappa}B signaling.The Journal of biological chemistry · 2009Review
- Insights into the organization of biochemical regulatory networks using graph theory analyses.The Journal of biological chemistry · 2009Review
- Models of spatially restricted biochemical reaction systems.The Journal of biological chemistry · 2009Review
- Rapidly exploring structural and dynamic properties of signaling networks using PathwayOracle.BMC systems biology · 2008Article
- Computational models of tandem SRC homology 2 domain interactions and application to phosphoinositide 3-kinase.The Journal of biological chemistry · 2008Article
- The signaling petri net-based simulator: a non-parametric strategy for characterizing the dynamics of cell-specific signaling networks.PLoS computational biology · 2008Article
- Genes2Networks: connecting lists of gene symbols using mammalian protein interactions databases.BMC bioinformatics · 2007Article
Corrections and comments
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Authors and funding
2 authors.
Funding
Abstract
Cellular components interact with each other to form networks that process information and evoke biological responses. A deep understanding of the behavior of these networks requires the development and analysis of mathematical models. In this article, different types of mathematical representations for modeling signaling networks are described, and the advantages and disadvantages of each type are discussed. Two experimentally well-studied signaling networks are then used as examples to illustrate the insight that could be gained through modeling. Finally, the modeling approach is expanded to describe how signaling networks might regulate cellular machines and evoke phenotypic behaviors.
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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.