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Yusuke Himeoka
Yusuke Himeoka
Universal Biology Institute, University of Tokyo
Verified email at g.ecc.u-tokyo.ac.jp - Homepage
Title
Cited by
Cited by
Year
Theory for transitions between exponential and stationary phases: universal laws for lag time
Y Himeoka, K Kaneko
Physical Review X 7 (2), 021049, 2017
532017
Entropy production of a steady-growth cell with catalytic reactions
Y Himeoka, K Kaneko
Physical Review E 90 (4), 042714, 2014
222014
Dynamics of bacterial populations under the feast-famine cycles
Y Himeoka, N Mitarai
Physical Review Research 2 (1), 013372, 2020
202020
When to wake up? The optimal waking-up strategies for starvation-induced persistence
Y Himeoka, N Mitarai
PLoS computational biology 17 (2), e1008655, 2021
102021
Enzyme oscillation can enhance the thermodynamic efficiency of cellular metabolism: consequence of anti-phase coupling between reaction flux and affinity
Y Himeoka, K Kaneko
Physical biology 13 (2), 026002, 2016
82016
Distinct survival, growth lag, and rRNA degradation kinetics during long-term starvation for carbon or phosphate
Y Himeoka, B Gummesson, MA Sørensen, SL Svenningsen, N Mitarai
Msphere 7 (3), e01006-21, 2022
72022
Modeling slow-processing of toxin messenger RNAs in type-I toxin–antitoxin systems: Post-segregational killing and noise filtering
Y Himeoka, N Mitarai
Physical Biology 16 (2), 026001, 2019
42019
Emergence of growth and dormancy from a kinetic model of the Escherichia coli central carbon metabolism
Y Himeoka, N Mitarai
Physical Review Research 4 (4), 043223, 2022
32022
Epigenetic Ratchet: Spontaneous adaptation via stochastic gene expression
Y Himeoka, K Kaneko
Scientific Reports 10 (1), 459, 2020
32020
Stoichiometric Rays: A simple method to compute the controllable set of enzymatic reaction systems
Y Himeoka, SA Horiguchi, TJ Kobayashi
bioRxiv, 2024.03. 04.583348, 2024
2024
Evolution of hierarchy and irreversibility in theoretical cell differentiation model
YT Nakamura, Y Himeoka, N Saito, C Furusawa
PNAS nexus 3 (1), pgad454, 2024
2024
Perturbation-response analysis of in silico metabolic dynamics: Hard-coded responsiveness in the cofactors and network sparsity
Y Himeoka, C Furusawa
bioRxiv, 2023.10. 18.562862, 2023
2023
Structural determinants of relaxation dynamics in chemical reaction networks
Y Himeoka, JB Kirkegaard, N Mitarai, S Krishna
bioRxiv, 2022.05. 25.493374, 2022
2022
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