6 papers
Local stabilizability implies global controllability in catalytic reaction systems
Yusuke Himeoka, Shuhei A. Horiguchi, Naoto Shiraishi +2
Controlling complex reaction networks is a fundamental challenge in the fields of physics, biology, and systems engineering. Here, we prove a general principle for catalytic reacti…
Omics-scale polymer computational database transferable to real-world artificial intelligence applications
Ryo Yoshida, Yoshihiro Hayashi, Hidemine Furuya +103
Developing large-scale foundational datasets is a critical milestone in advancing artificial intelligence (AI)-driven scientific innovation. However, unlike AI-mature fields such a…
Optimal control of stochastic reaction networks with entropic control cost and emergence of mode-switching strategies
Shuhei A. Horiguchi, Tetsuya J. Kobayashi
Controlling the stochastic dynamics of biological populations is a challenge that arises across various biological contexts. However, these dynamics are inherently nonlinear and in…
Quantification of Information Flow by Dual Reporter System and Its Application to Bacterial Chemotaxis
Kento Nakamura, Hajime Fukuoka, Akihiko Ishijima +1
Mutual information is a theoretically grounded metric for quantifying cellular signaling pathways. However, its measurement demands characterization of both input and output distri…
Statistical mechanics of fluids with hidden degrees of freedom
Masanari Shimada, Tetsuya J. Kobayashi
Although coarse-grained models have been widely used to explain exotic phenomena in complex fluids, such as droplet formation in living cells, these conventional approaches often f…
A theoretical basis for cell deaths
Yusuke Himeoka, Shuhei A. Horiguchi, Tetsuya J. Kobayashi
Understanding deaths and life-death boundaries of cells is a fundamental challenge in biological sciences. In this study, we present a theoretical framework for investigating cell…