東京大学 · 情報科学
阿部一之教授の研究室では、生命現象のダイナミクスを解明するため、ゲノム・プロテオムデータを統合した計算モデルを構築しています。特に、シグナル伝達経路のネットワークを高スループットな生物学的データから同定するための整数線形計画法に基づく新規アルゴリズムを開発しています。また、連続的でない動的挙動を示すハイブリッドダイナミカルシステムの非線形ダイナミクスの解明にも取り組んでいます。
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Signal transduction is an important process that transmits signals from the outside of a cell to the inside to mediate sophisticated biological responses. Effective computational models to unravel such a process by taking advantage of high-throughput genomic and proteomic data are needed to understand the essential mechanisms underlying the signaling pathways. In this article, we propose a novel method for uncovering signal transduction networks (STNs) by integrating protein interaction with gen
In this introductory article, we survey the contents of this Theme Issue. This Theme Issue deals with a fertile region of hybrid dynamical systems that are characterized by the coexistence of continuous and discrete dynamics. It is now well known that there exist many hybrid dynamical systems with discontinuities such as impact, switching, friction and sliding. The first aim of this Issue is to discuss recent developments in understanding nonlinear dynamics of hybrid dynamical systems in the two
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