10 citations · 21 across the 15 of their papers we have counts for
7 papers · 1 filter
Convex Analysis of Relaxation Dynamics in Chemical Reaction Networks and Generalized Gradient Flows
Keisuke Sugie, Dimitri Loutchko, Tetsuya J. Kobayashi
We obtain bounds on the Kullback--Leibler divergence to equilibrium for mass-action chemical reaction networks (CRNs) with equilibrium. The associated decay rates are characterized…
Information geometry of chemical reaction networks: Cramer-Rao bound and absolute sensitivity revisited
Dimitri Loutchko, Yuki Sughiyama, Tetsuya J. Kobayashi
Information geometry is based on classical Legendre duality but allows to incorporate additional structure such as algebraic constraints and Bregman divergence functions. It is nat…
Transitions and Thermodynamics on Species Graphs of Chemical Reaction Networks
Keisuke Sugie, Dimitri Loutchko, Tetsuya J. Kobayashi
Chemical reaction networks (CRNs) exhibit complex dynamics governed by their underlying network structure. In this paper, we propose a novel approach to study the dynamics of CRNs…
Cramer-Rao bound and absolute sensitivity in chemical reaction networks
Dimitri Loutchko, Yuki Sughiyama, Tetsuya J. Kobayashi
Chemical reaction networks (CRN) comprise an important class of models to understand biological functions such as cellular information processing, the robustness and control of met…
An algebraic characterization of self-generating chemical reaction networks using semigroup models
Dimitri Loutchko
The ability of a chemical reaction network to generate itself by catalyzed reactions from constantly present environmental food sources is considered a fundamental property in orig…
Algebraic Coarse-Graining of Biochemical Reaction Networks
Dimitri Loutchko
Biological systems exhibit processes on a wide range of time and length scales. This work demonstrates that models, wherein the interaction between system constituents is captured…
Semigroup models for biochemical reaction networks
Dimitri Loutchko
The catalytic reaction system (CRS) formalism by Hordijk and Steel is a versatile method to model autocatalytic biochemical reaction networks. It is particularly suited, and has be…