Practical differentiation using ultrasensitive molecular circuits
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[1] Yuhai Tu,et al. Modeling the chemotactic response of Escherichia coli to time-varying stimuli , 2008, Proceedings of the National Academy of Sciences.
[2] Christian Cuba Samaniego,et al. Ultrasensitive molecular controllers for quasi-integral feedback , 2018, bioRxiv.
[3] Eduardo D. Sontag,et al. Scale-invariant systems realize nonlinear differential operators , 2016, 2016 American Control Conference (ACC).
[4] Christian Cuba Samaniego,et al. An ultrasensitive biomolecular network for robust feedback control , 2017 .
[5] K Oishi,et al. Biomolecular implementation of linear I/O systems. , 2011, IET systems biology.
[6] H. Berg,et al. Ultrasensitivity of an adaptive bacterial motor. , 2013, Journal of molecular biology.
[7] Antonis Papachristodoulou,et al. The Interplay between Feedback and Buffering in Cellular Homeostasis. , 2017, Cell systems.
[8] Huiyi Chen,et al. Genome-wide study of mRNA degradation and transcript elongation in Escherichia coli , 2015, Molecular systems biology.
[9] Pablo A Iglesias,et al. Navigating through models of chemotaxis. , 2008, Current opinion in cell biology.
[10] Christian Cuba Samaniego,et al. Design and analysis of a synthetic aptamer-based oscillator , 2015, 2015 American Control Conference (ACC).
[11] Eduardo Sontag,et al. Untangling the wires: A strategy to trace functional interactions in signaling and gene networks , 2002, Proceedings of the National Academy of Sciences of the United States of America.
[12] Antonis Papachristodoulou,et al. Frequency domain analysis of small non-coding RNAs shows summing junction-like behaviour , 2017, 2017 IEEE 56th Annual Conference on Decision and Control (CDC).
[13] Manoj Gopalakrishnan,et al. Ultrasensitivity and fluctuations in the Barkai-Leibler model of chemotaxis receptors in Escherichia coli , 2017, bioRxiv.
[14] K. Jensen,et al. The RNA chain elongation rate in Escherichia coli depends on the growth rate , 1994, Journal of bacteriology.
[15] Christian Cuba Samaniego,et al. A bistable biomolecular network based on monomeric inhibition reactions , 2015, 2015 54th IEEE Conference on Decision and Control (CDC).
[16] D. Y. Zhang,et al. Engineering Entropy-Driven Reactions and Networks Catalyzed by DNA , 2007, Science.
[17] Christian Cuba Samaniego,et al. Design of a bistable network using the CRISPR/Cas system , 2017, 2017 IEEE Conference on Control Technology and Applications (CCTA).
[18] J. S. Parkinson,et al. A model of excitation and adaptation in bacterial chemotaxis. , 1997, Proceedings of the National Academy of Sciences of the United States of America.
[19] Elisa Franco,et al. A self-regulating biomolecular comparator for processing oscillatory signals , 2015, Journal of The Royal Society Interface.
[20] Damon A. Clark,et al. The bacterial chemotactic response reflects a compromise between transient and steady-state behavior. , 2005, Proceedings of the National Academy of Sciences of the United States of America.
[21] Domitilla Del Vecchio,et al. Realizing “integral control” in living cells: How to overcome leaky integration due to dilution? , 2017 .
[22] Carla Bosia,et al. Stochastic sequestration dynamics: a minimal model with extrinsic noise for bimodal distributions and competitors correlation , 2018, Scientific Reports.
[23] S. Leibler,et al. Robustness in simple biochemical networks , 1997, Nature.
[24] Franco Blanchini,et al. Molecular Titration Promotes Oscillations and Bistability in Minimal Network Models with Monomeric Regulators. , 2016, ACS synthetic biology.
[25] Christian Cuba Samaniego,et al. An ultrasensitive motif for robust closed loop control of biomolecular systems , 2017, 2017 IEEE 56th Annual Conference on Decision and Control (CDC).
[26] Ankit Gupta,et al. Antithetic Integral Feedback Ensures Robust Perfect Adaptation in Noisy Biomolecular Networks. , 2014, Cell systems.
[27] S Waldherr,et al. Design of biomolecular network modifications to achieve adaptation. , 2012, IET systems biology.
[28] Wolfgang Halter,et al. Signal differentiation with genetic networks , 2017 .
[29] J. Doyle,et al. Robust perfect adaptation in bacterial chemotaxis through integral feedback control. , 2000, Proceedings of the National Academy of Sciences of the United States of America.
[30] Nicolas E. Buchler,et al. Molecular titration and ultrasensitivity in regulatory networks. , 2008, Journal of molecular biology.
[31] Peter Ruoff,et al. Predicting perfect adaptation motifs in reaction kinetic networks. , 2008, The journal of physical chemistry. B.
[32] Franco Blanchini,et al. Stability analysis of an artificial biomolecular oscillator with non-cooperative regulatory interactions , 2017, Journal of biological dynamics.
[33] E. Winfree,et al. Construction of an in vitro bistable circuit from synthetic transcriptional switches , 2006, Molecular systems biology.
[34] Yoke Peng Leong,et al. Hard Limits and Performance Tradeoffs in a Class of Sequestration Feedback Systems , 2017, bioRxiv.
[35] Han N. Lim,et al. Direct comparison of small RNA and transcription factor signaling , 2012, Nucleic acids research.
[36] Massimo Vergassola,et al. Bacterial strategies for chemotaxis response , 2010, Proceedings of the National Academy of Sciences.
[37] Richard M. Murray,et al. Synthetic circuit for exact adaptation and fold-change detection , 2014, Nucleic acids research.
[38] Hana El-Samad,et al. Design and analysis of a Proportional-Integral-Derivative controller with biological molecules , 2018, bioRxiv.
[39] Andreas Handel. Cell Biology by the Numbers. By Ron Milo and Rob Phillips; illustrated by Nigel Orme. New York: Garland Science (Taylor & Francis Group). $49.95 (paper). xlii + 356 p.; ill.; index. ISBN: 978-0-8153-4537-4. 2016. , 2017 .
[40] D. Koshland,et al. An amplified sensitivity arising from covalent modification in biological systems. , 1981, Proceedings of the National Academy of Sciences of the United States of America.