Bionote:

Yuji Hirono is currently a project-specific associate professor at Kyoto University. After earning his Ph.D from the University of Tokyo in 2014, he held postdoctoral appointments at the Stony Brook University and also at the Brookhaven National Laboratory. After that, he served as a Junior Research Group Leader at Asia Pacific Center for Theoretical Physics prior to moving to Kyoto University in June 2023. His research interest lies in the analysis of non-equilibrium phenomena in physical and biological systems through the techniquesbased on the concepts such as symmetry and topology.

Network Topology Reveals Robust Adaptation Phenomena in Biochemical Systems

Abstract

Maintaining stability is a critical issue for living systems. Robust perfect adaptation (RPA) is a control-theoretical mechanism that enables certain output variables to attain and sustain desired values despite external disturbances in a robust manner. RPA helps the survival of living systems in unpredictable environments, and as such there are numerous examples of biological implementations of this feature. However, identifying RPA properties and associated regulatory mechanisms is a highly nontrivial problem given the complexity of biological systems. In this talk, we aim to elucidate the essential role of network topology in the phenomenon of RPA [1]. We have recently shown that all the RPA properties in a deterministic chemical reaction system can be fully identified by topological characteristics of subnetworks. Furthermore, integral feedback controllers that work in concert to realize each RPA property can also be identified, casting our results into the control-theoretic paradigm of the Internal Model Principle. I’ll present the findings and discuss their implications for understanding the robustness of biochemical systems through simple and

biological examples.

Reference:

[1] Yuji Hirono, Ankit Gupta, Mustafa Khammash, “Complete characterization of robust perfect adaptation in biochemical reaction networks,” [ https://arxiv.org/abs/2307.07444 ]