The biological phenomena are governed by complex network systems including many species of molecules, cells or organs. For the aim of understanding the functions of complex systems, we adopt mathematical and computational methods.
By theoretical approaches we decipher huge amounts of experimental information, and give integrative understanding for the biological systems.
Our final goal is to open a new bioscience which will progress by the repeats of the theoretical predictions and the experimental verifications.
RESEARCH
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Complete control of a gene regulatory network of ascidian embryo by a few factors identified by a mathematical theory.
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Determining responses of chemical reaction systems from structure of networks
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Structure and dynamics of regulatory networks
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Physics of organelle morphogenesis
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NEWS
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Yamauchi Y., Hishida A., Okada T. and Mochizuki A. (2024) Finding regulatory modules of chemical reaction systems. Phys. Rev. Research 6, 023150.
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Hishida A., Okada T. and Mochizuki A. (2024) Patterns of change in regulatory modules of chemical reaction systems induced by network modification. PNAS nexus, 3(1), pgad441.
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Ishikawa M., Sugino S., Masuda Y., Tarumoto Y., Seto Y., Taniyama N., Wagai F., Yamauchi Y., Kojima Y., Kiryu H., Yusa K., Eiraku M., Mochizuki A. (2023) RENGE infers gene regulatory networks using time-series single-cell RNA-seq data with CRISPR perturbations. Communications Biology, 6(1), 1290.
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Prof. Mochizuki’s interview was published in Kyoto Shimbun.
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Mochizuki A.* (2022) A structural approach to understanding enzymatic regulation of chemical reaction networks. Biochem. J. 479(11), 1265–1283.
- publication
Yamauchi Y., Hishida A., Okada T. and Mochizuki A. (2024) Finding regulatory modules of chemical reaction systems. Phys. Rev. Research 6, 023150.
- publication
Hishida A., Okada T. and Mochizuki A. (2024) Patterns of change in regulatory modules of chemical reaction systems induced by network modification. PNAS nexus, 3(1), pgad441.
- publication
Ishikawa M., Sugino S., Masuda Y., Tarumoto Y., Seto Y., Taniyama N., Wagai F., Yamauchi Y., Kojima Y., Kiryu H., Yusa K., Eiraku M., Mochizuki A. (2023) RENGE infers gene regulatory networks using time-series single-cell RNA-seq data with CRISPR perturbations. Communications Biology, 6(1), 1290.
- publication
Prof. Mochizuki’s interview was published in Kyoto Shimbun.
- publication
Mochizuki A.* (2022) A structural approach to understanding enzymatic regulation of chemical reaction networks. Biochem. J. 479(11), 1265–1283.