ArticleIET systems biology2014
Overshoot in biological systems modelled by Markov chains: a non-equilibrium dynamic phenomenon.
Article in IET systems biology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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6 citing papers in PubMed.
- What can we learn when fitting a simple telegraph model to a complex gene expression model?PLoS computational biology · 2024Article
- Governing principles of transcriptional logic out of equilibrium.Biophysical journal · 2024Article
- Enhancement of Prebiotic Peptide Formation in Cyclic Environments.Origins of life and evolution of the biosphere : the journal of the International Society for the Study of the Origin of Life · 2023Article
- Embeddability and rate identifiability of Kimura 2-parameter matrices.Journal of mathematical biology · 2020Article
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3 authors.
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Abstract
A number of biological systems can be modelled by Markov chains. Recently, there has been an increasing concern about when biological systems modelled by Markov chains will perform a dynamic phenomenon called overshoot. In this study, the authors found that the steady-state behaviour of the system will have a great effect on the occurrence of overshoot. They showed that overshoot in general cannot occur in systems that will finally approach an equilibrium steady state. They further classified overshoot into two types, named as simple overshoot and oscillating overshoot. They showed that except for extreme cases, oscillating overshoot will occur if the system is far from equilibrium. All these results clearly show that overshoot is a non-equilibrium dynamic phenomenon with energy consumption. In addition, the main result in this study is validated with real experimental data.
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