日時：	2025年9月10日（水）16：00～17：30
場所：	本セミナーはZoomを使用したオンライン開催です。 参加をご希望の方は、事前に以下の連絡先までお申し込みください。 参加希望連絡先： 医生物学研究所数理生物学分野　 塩出 綾子　Email: shiode.ayako.2k[@]kyoto-u.ac.jp
演者：	Nora Beier Department of Bioinformatics, Leipzig University, Germany
演題：	Metabolic Network Construction and Structural Sensitivity Analysis of E.coli under Oxidative Stress

講演要旨

Oxidative stress, primarily induced by reactive oxygen species (ROS),
threatens bacterial viability by damaging DNA, proteins, and lipids.
Escherichia coli (E. coli) has nevertheless evolved robust defense
mechanisms that enable survival under such stress, a trait with important
clinical implications. While the metabolism of E. coli appears remarkably
robust against ROS, the underlying mechanisms of this resilience remain
incompletely understood. During antibiotic treatment, ROS can promote
persistence and drive the emergence of resistant strains through elevated
mutation rates. To address this challenge, we investigated metabolic
vulnerabilities that compromise E. coli’s ability to withstand oxidative stress.
A central focus was the construction and refinement of a metabolic network
model formulated as a system of ordinary differential equations (ODEs),
since the validity of systems-level analyses critically depends on the quality
of the underlying network. Using this model, we applied structural sensitivity
analysis to examine how ROS-induced perturbations propagate through the
metabolic system. This approach revealed buffering structures that constrain
the spread of oxidative disturbances, thereby explaining aspects of
metabolic robustness while also highlighting potential weak points that could
be therapeutically targeted. Targeting such metabolic weak spots may
provide a strategy to disrupt bacterial resilience, enhance antibiotic efficacy,
and mitigate the development of resistance. （Language: English）

Seminar20250910

contact: Atsushi Mochizuki
Laboratory of Mathematical Biology,
Institute for Life and Medical Sciences, Kyoto University
Email: mochi[@]infront.kyoto-u.ac.jp
Tel: 075-751-4612