Atsushi Mochizuki

The paper introduces a method to identify indicator molecules in biochemical reaction networks that can distinguish between multiple steady states without kinetic parameters.

This study measures cyclin-CDK dissociation constants in living cells using FCCS with optimized fluorescent proteins, revealing insights into cyclin-CDK binding redundancy.

This paper introduces Structural Bifurcation Analysis (SBA) to identify bifurcation behaviors in biochemical networks from topology, applied to macrophage polarization revealing structural constraints and gene-dependent patterns.

This study investigates the developmental mechanisms of sharp leaf apices in Triadica sebifera, finding that biregional division angles, not cell expansion, drive apex shape and concave joint formation.

The paper uses a topology-based theory to predict and validate independent control of G2-M and G1-S checkpoints in fission yeast cell cycle by analyzing CDK-cyclin complex dynamics.

BayesianSSA integrates environmental information from perturbation data into structural sensitivity analysis to predict enzyme perturbation responses in metabolic networks.

The paper develops an algorithm to identify buffering structures in chemical reaction networks by leveraging an inverse theorem of the law of localization, enabling efficient detection of modular regulatory units.

This paper introduces RENGE, a method for inferring gene regulatory networks from time-series scCRISPR data, which outperforms existing methods and produces GRNs consistent with known databases.

The paper investigates how differences in ERBB receptor expression and phosphorylation rates contribute to diverse phosphorylation dynamics across organs.

The paper quantifies Wnt8 ligand dynamics in Xenopus embryos, showing most Wnt8 is bound to cell surfaces with dynamic exchange, leading to a graded distribution.