The DOI matches its Crossref record; 67 of the 67 references it cites were found in a registry or an index.
Functional Motifs in Biochemical Reaction Networks
Open accessAbstract
The signal-response characteristics of a living cell are determined by complex networks of interacting genes, proteins, and metabolites. Understanding how cells respond to specific challenges, how these responses are contravened in diseased cells, and how to intervene pharmacologically in the decision-making processes of cells requires an accurate theory of the information-processing capabilities of macromolecular regulatory networks. Adopting an engineer's approach to control systems, we ask whether realistic cellular control networks can be decomposed into simple regulatory motifs that carry out specific functions in a cell. We show that such functional motifs exist and review the experimental evidence that they control cellular responses as expected.
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Cites
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Network motifs: theory and experimental approaches
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Fluctuations in p53 Signaling Allow Escape from Cell-Cycle Arrest
Reyes, J., Chen, J.-Y., Stewart-Ornstein, J., Karhohs, K. W., Mock, C. S., & Lahav, G. (2018) · Molecular Cell · doi:10.1016/j.molcel.2018.06.031 · Cited by 149
Feedback regulation of TGF-β signaling
Yan, X., Xiong, X., & Chen, Y.-G. (2018) · Acta Biochimica et Biophysica Sinica · doi:10.1093/abbs/gmx129 · Cited by 128
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Metadata
- Authors
- Tyson, J. J., & Novák, B.
- Venue
- Annual Review of Physical Chemistry
- Publisher
- Annual Reviews
- Published
- 2010-03-01
- Volume
- 61
- Issue
- 1
- Pages
- 219-240
- ISSN
- 0066-426X (ISSN-L)
- 1545-1593
- OpenAlex
- W2166132142
- Cited by
- 293
- References
- 67
- FWCI
- 1.28
- Type
- journal article
- Language
- en
- Open access
- green
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
