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Sampling Rare Switching Events in Biochemical Networks
Open accessAbstract
Bistable biochemical switches are widely found in gene regulatory networks and signal transduction pathways. Their switching dynamics are difficult to study, however, because switching events are rare, and the systems are out of equilibrium. We present a simulation method for predicting the rate and mechanism of the flipping of these switches. We apply it to a genetic switch and find that it is highly efficient. The path ensembles for the forward and reverse processes do not coincide. The method is widely applicable to rare events and nonequilibrium processes.
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Cites
Multistability in the lactose utilization network of Escherichia coli
Ozbudak, E. M., Thattai, M., Lim, H. N., Shraiman, B. I., & van Oudenaarden, A. (2004) · Nature · doi:10.1038/nature02298 · Cited by 1,030
A positive-feedback-based bistable ‘memory module’ that governs a cell fate decision.
Xiong, W., & Ferrell, J. E. (2003) · Nature · doi:10.1038/nature02089 · Cited by 741
Cited by
Laio, A., & Gervasio, F. L. (2008) · Reports on Progress in Physics · doi:10.1088/0034-4885/71/12/126601 · Cited by 1,619
Obtaining reaction coordinates by likelihood maximization
Peters, B., & Trout, B. L. (2006) · The Journal of Chemical Physics · doi:10.1063/1.2234477 · Cited by 417
Homogeneous Ice Nucleation at Moderate Supercooling from Molecular Simulation
Sanz, E., Vega, C., Espinosa, J. R., Caballero-Bernal, R., Abascal, J. L. F., & Valeriani, C. (2013) · Journal of the American Chemical Society · doi:10.1021/ja4028814 · Cited by 334
Rohrdanz, M. A., Zheng, W., & Clementi, C. (2013) · Annual Review of Physical Chemistry · doi:10.1146/annurev-physchem-040412-110006 · Cited by 242
The RED scheme: Rate-constant estimation from pre-steady state weighted ensemble simulations
(2021) · doi:10.1063/5.0041278 · Cited by 20
Metadata
- Authors
- Allen, R. J., Warren, P. B., & ten Wolde, P. R.
- Venue
- Physical Review Letters
- Publisher
- American Physical Society (APS)
- Published
- 2005-01-06
- Volume
- 94
- Issue
- 1
- Pages
- 018104-018104
- ISSN
- 0031-9007 (ISSN-L)
- 1079-7114
- OpenAlex
- W2031952899
- Cited by
- 488
- References
- 2
- FWCI
- 7.84
- 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.