The DOI matches its Crossref record; 20 of the 20 references it cites were found in a registry or an index.
Structural Sources of Robustness in Biochemical Reaction Networks
Abstract
Steady As She Blows: A fundamental characteristic of many biological control networks is the capacity to maintain the concentration of a particular component at steady state within a narrow range, in spite of variations in the amounts of other network components that might change as a result of environmental variables in the state of a cell. In a mathematical analysis, Shinar and Feinberg (p. 1389 ) reveal the essential requirements of a network robust to perturbation. Using this method, the sources of robustness in two bacterial systems—one that functions in osmoregulation and another that controls carbon flux in metabolism—were explained.
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Cites
Two-Component Signal Transduction
Stock, A. M., Robinson, V. L., & Goudreau, P. N. (2000) · Annual Review of Biochemistry · doi:10.1146/annurev.biochem.69.1.183 · Cited by 3,650
Robustness in simple biochemical networks
Barkai, N., & Leibler, S. (1997) · Nature · doi:10.1038/43199 · Cited by 1,513
Robustness in bacterial chemotaxis
Alon, U., Surette, M. G., Barkai, N., & Leibler, S. (1999) · Nature · doi:10.1038/16483 · Cited by 1,129
Robust perfect adaptation in bacterial chemotaxis through integral feedback control
Yi, T.-M., Huang, Y., Simon, M. I., & Doyle, J. (2000) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.97.9.4649 · Cited by 1,036
Feinberg, M. (1987) · Chemical Engineering Science · doi:10.1016/0009-2509(87)80099-4 · Cited by 744
Self-citationPERSPECTIVE: EVOLUTION AND DETECTION OF GENETIC ROBUSTNESS
Visser, J. A. G. M., Hermisson, J., Wagner, G. P., Meyers, L. A., Bagheri‐Chaichian, H., Blanchard, J. L., Chao, L., Cheverud, J. M., Elena, S. F., Fontana, W., et al. (2003) · Evolution · doi:10.1111/j.0014-3820.2003.tb00377.x · Cited by 694
Robustness of the BMP morphogen gradient in Drosophila embryonic patterning
Eldar, A., Dorfman, R., Weiss, D., Ashe, H., Shilo, B.-Z., & Barkai, N. (2002) · Nature · doi:10.1038/nature01061 · Cited by 465
Models of Eukaryotic Gradient Sensing: Application to Chemotaxis of Amoebae and Neutrophils
Levchenko, A., & Iglesias, P. A. (2002) · Biophysical Journal · doi:10.1016/s0006-3495(02)75373-3 · Cited by 422
The existence and uniqueness of steady states for a class of chemical reaction networks
Feinberg, M. (1995) · Archive for Rational Mechanics and Analysis · doi:10.1007/bf00375614 · Cited by 367
Self-citationUnderstanding bistability in complex enzyme-driven reaction networks
Craciun, G., Tang, Y., & Feinberg, M. (2006) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0602767103 · Cited by 300
Self-citation
Cited by
Cellular Heterogeneity: Do Differences Make a Difference?
Altschuler, S. J., & Wu, L. F. (2010) · Cell · doi:10.1016/j.cell.2010.04.033 · Cited by 1,214
Atkinson, G. C., Tenson, T., & Hauryliuk, V. (2011) · PLoS ONE · doi:10.1371/journal.pone.0023479 · Cited by 447
Reverse engineering and identification in systems biology: strategies, perspectives and challenges
Villaverde, A. F., & Banga, J. R. (2014) · Journal of The Royal Society Interface · doi:10.1098/rsif.2013.0505 · Cited by 229
The Utility of Paradoxical Components in Biological Circuits
Hart, Y., & Alon, U. (2013) · Molecular Cell · doi:10.1016/j.molcel.2013.01.004 · Cited by 151
The thermodynamic efficiency of computations made in cells across the range of life
Kempes, C. P., Wolpert, D., Cohen, Z., & Pérez-Mercader, J. (2017) · Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences · doi:10.1098/rsta.2016.0343 · Cited by 68
Metadata
- Authors
- Shinar, G., & Feinberg, M.
- Venue
- Science
- Published
- 2010-03-12
- Volume
- 327
- Issue
- 5971
- Pages
- 1389-1391
- ISSN
- 0036-8075 (ISSN-L)
- 1095-9203
- OpenAlex
- W2066718612
- Cited by
- 379
- References
- 20
- FWCI
- 11.58
- Type
- journal article
- Language
- en
- Open access
- closed
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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.