ArticleJournal of biological engineering2014
Parameter-less approaches for interpreting dynamic cellular response.
Article in Journal of biological engineering, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Systems biology approach for enhancing limonene yield by re-engineering Escherichia coli.NPJ systems biology and applications · 2024Article
- Defining rules for cancer cell proliferation in TRAIL stimulation.NPJ systems biology and applications · 2019Article
- Can the second law of thermodynamics hold in cell cultures?Frontiers in genetics · 2015Article
- Systems Biology Strategy Reveals PKCδ is Key for Sensitizing TRAIL-Resistant Human Fibrosarcoma.Frontiers in immunology · 2014Article
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Abstract
Cellular response such as cell signaling is an integral part of information processing in biology. Upon receptor stimulation, numerous intracellular molecules are invoked to trigger the transcription of genes for specific biological purposes, such as growth, differentiation, apoptosis or immune response. How complex are such specialized and sophisticated machinery? Computational modeling is an important tool for investigating dynamic cellular behaviors. Here, I focus on certain types of key signaling pathways that can be interpreted well using simple physical rules based on Boolean logic and linear superposition of response terms. From the examples shown, it is conceivable that for small-scale network modeling, reaction topology, rather than parameter values, is crucial for understanding population-wide cellular behaviors. For large-scale response, non-parametric statistical approaches have proven valuable for revealing emergent properties.
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