研究者詳細 - 鈴木　泰博

講演・口頭発表等 - 鈴木　泰博

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社会ネットワーク解析を用いた酵母タンパク質相互作用ネットワークの解析

鈴木泰博、荻島創一、長谷武志、中川草、田中博

分子生物学会年会

タンパク質間相互作用ネットワークのモジュラーな進化

荻島創一, 鈴木泰博, 長谷武志, 中川草, 田中博

日本分子生物学会年会講演要旨集 2005年11月25日

ネットワーク特性量に着目したGAによるネットワーク設計

佐藤史隆, 広安知之, 三木光範, 鈴木泰博

情報処理学会シンポジウム論文集 2005年10月11日

Molecular Evolutionary Analysis of Yeast Protein Interaction Network

Soichi Ogishima, Takeshi Hase, So Nakagawa, Yasuhiro Suzuki, Hiroshi Tanaka

PROCEEDINGS OF WORLD ACADEMY OF SCIENCE, ENGINEERING AND TECHNOLOGY, VOL 6 2005年 WORLD ACAD SCI, ENG & TECH-WASET

開催年月日： 2005年

記述言語：英語

To understand life as biological system, evolutionary understanding is indispensable. Protein interactions data are rapidly accumulating and are suitable for system-level evolutionary analysis. We have analyzed yeast protein interaction network by both mathematical and biological approaches. In this poster presentation, we inferred the evolutionary birth periods of yeast proteins by reconstructing phylogenetic profile. It has been thought that hub proteins that have high connection degree are evolutionary old. But our analysis showed that hub proteins are entirely evolutionary new. We also examined evolutionary processes of protein complexes. It showed that member proteins of complexes were tend to have appeared in the same evolutionary period. Our results suggested that protein interaction network evolved by modules that form the functional unit. We also reconstructed standardized phylogenetic trees and calculated evolutionary rates of yeast proteins. It showed that there is no obvious correlation between evolutionary rates and connection degrees of yeast proteins.

p53シグナル伝達系のモデリングおよびシミュレーション:Abstract Cell Modelでの試み

荻島創一, 鈴木泰博, 田中博

医療情報学連合大会論文集 2004年11月26日 (一社)日本医療情報学会