Robust perfect adaptation in bacterial chemotaxis through integral feedback control.

By Tm Yi, Yun Huang, M. Simon. Proceedings of the National Academy of Sciences of the United States of America, 2000

1,102 citations recorded by the source corpus.

Subfields: Modeling and Simulation, Molecular Biology

View Paper: https://www.semanticscholar.org/paper/f9c68658712b142dc21e8659419c53a2918b3d73

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Citations in the corpus

Cell Types, Network Homeostasis, and Pathological Compensation from a Biologically Plausible Ion Channel Expression Model (2014, positive): “Conversely, in systems that can be locally linearly approximated, perfect compensation implies integral control (Yi et al., 2000).”
Adaptation and regulation with signal detection implies internal model (2003, positive): “[16], has suggested that the IMP could help guide experimentalists and modelers: if certain characteristics of a system adapt to signals in a given class (in all the examples so far, constant inputs, such as for instance y(t)= the relative “activity” of enzymes controlling motors in Escherichia coli”
Complexity and robustness (2001, background): “1) Molecular biology has provided a detailed description of much of the components of biological networks, and with the growing attention to systems biology the organizational principles of these networks are becoming increasingly apparent([2], [3], [4], [5], [8], [9], [12], [13], [16],”
Feedback Systems: An Introduction for Scientists and Engineers (2008, neutral): “There is also growing evidence that PID control appears in biological systems [197].”
Foundations of systems biology (2001, methodology): “Detailed analysis revealed that this circuit functions as an integral feedback (Yi et al., 2000) — the most typical automatic control strategy.”
Defining Network Topologies that Can Achieve Biochemical Adaptation (2009, background): “…adaptation range from the chemotaxis of bacteria (Berg and Brown, 1972; Macnab and Koshland, 1972; Kirsch et al., 1993; Barkai and Leibler, 1997; Yi et al., 2000; Mello and Tu, 2003; Rao et al., 2004; Kollmann et al., 2005; Endres and Wingreen, 2006), amoeba (Parent and Devreotes, 1999; Yang…”
Sniffers, buzzers, toggles and blinkers: dynamics of regulatory and signaling pathways in the cell. (2003, background): “Many authors have presented models of perfect adaptation (see [32–35] for representative published work).”
Cell Types, Network Homeostasis, and Pathological Compensation from a Biologically Plausible Ion Channel Expression Model. (2015, positive): “Conversely, in systems that can be locally linearly approximated , perfect compensation implies integral control (Yi et al., 2000).”
Adaptive computation and machine learning (1998, background): “Understanding biology at the system level (for instance [88, 309, 239, 289, 576]), not only gene networks, but also protein networks, signaling networks, metabolic networks, and specific systems, such as the immune system or neuronal networks, is likely to remain at the center of the bioinformatics ”
Neuronal homeostasis: time for a change? (2011, background): “As a result, biology may favour simpler control mechanisms than currently anticipated (Yi et al. 2000; Turrigiano, 2008).”