様々な生命現象が、分子や細胞などの要素が複雑に相互作用しあうネットワークに支配され、
そのシステム全体から機能が生まれることが明らかとなってきました。
我々は増加し続ける情報を処理し、複雑なシステムに統合的な理解を与えるために、
数学や計算機シミュレーションなどの理論的手法を用いて、生命現象に取り組んでいます。
理論的手法を用いることで、複雑に見えるシステムに対しても、
それを支配する単純な法則を導くことができます。
我々は、実験生物学者との共同研究を積極的に進めており、
予測検証の繰り返しによって展開する、新しい生物学の構築をめざしています。
RESEARCH
NEWS
- 研究業績
Hosoda, S., Iwata, H., Miura, T., Tanabe, M., Okada, T., Mochizuki, A. and Sato, M. (2024) BayesianSSA: a Bayesian statistical model based on structural sensitivity analysis for predicting responses to enzyme perturbations in metabolic networks. BMC Bioinformatics 25, 297.
- 研究業績
Yu, Q., Ascensao, J.A., Okada, T., COVID-19 Genomics UK (COG-UK) Consortium, Boyd, O., Volz, E. and Hallatschek, O. (2024) Lineage frequency time series reveal elevated levels of genetic drift in SARS-CoV-2 transmission in England. Plos Pathogens, 20(4), p.e1012090.
- 研究業績
Honjo, M., Suzuki, K., Katai, J., Tashiro, Y., Aoyagi, T., Hori, T., Okada, T., Saito, Y. and Futamata, H. (2024) Stable States of a Microbial Community Are Formed by Dynamic Metabolic Networks with Members Functioning to Achieve Both Robustness and Plasticity. Microbes and environments, 39(1), p.ME23091.
- 研究業績
Yamauchi Y., Hishida A., Okada T. and Mochizuki A. (2024) Finding regulatory modules of chemical reaction systems. Phys. Rev. Research 6, 023150.
- 研究業績
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.
- 研究業績
Hosoda, S., Iwata, H., Miura, T., Tanabe, M., Okada, T., Mochizuki, A. and Sato, M. (2024) BayesianSSA: a Bayesian statistical model based on structural sensitivity analysis for predicting responses to enzyme perturbations in metabolic networks. BMC Bioinformatics 25, 297.
- 研究業績
Yu, Q., Ascensao, J.A., Okada, T., COVID-19 Genomics UK (COG-UK) Consortium, Boyd, O., Volz, E. and Hallatschek, O. (2024) Lineage frequency time series reveal elevated levels of genetic drift in SARS-CoV-2 transmission in England. Plos Pathogens, 20(4), p.e1012090.
- 研究業績
Honjo, M., Suzuki, K., Katai, J., Tashiro, Y., Aoyagi, T., Hori, T., Okada, T., Saito, Y. and Futamata, H. (2024) Stable States of a Microbial Community Are Formed by Dynamic Metabolic Networks with Members Functioning to Achieve Both Robustness and Plasticity. Microbes and environments, 39(1), p.ME23091.
- 研究業績
Yamauchi Y., Hishida A., Okada T. and Mochizuki A. (2024) Finding regulatory modules of chemical reaction systems. Phys. Rev. Research 6, 023150.
- 研究業績
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.