2015 Fiscal Year Final Research Report

Constructing a theoretical framework to study reaction networks involving a small number of molecules: modeling with consideration of minority and hierarchy

Planned Research

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Project Area	Spying minority in biological phenomena -Toward bridging dynamics between individual and ensemble processes-
Project/Area Number	23115007
Research Category	Grant-in-Aid for Scientific Research on Innovative Areas (Research in a proposed research area)
Allocation Type	Single-year Grants
Review Section	Biological Sciences
Research Institution	Hiroshima University (2013-2015) Kobe University (2011-2012)
Principal Investigator	TOGASHI Yuichi 広島大学, 理学研究科, 特任准教授 (50456919)
Co-Investigator(Kenkyū-buntansha)	KOMATSUZAKI Tamiki 北海道大学, 電子科学研究所, 教授 (30270549)
Co-Investigator(Renkei-kenkyūsha)	LI Chun-Biu 北海道大学, 電子科学研究所, 准教授 (90397795) TERAMOTO Hiroshi 北海道大学, 電子科学研究所, 助教 (90463728) SHINKAI Soya 広島大学, 大学院理学研究科, 特任助教 (60547058) FLECHSIG Holger 広島大学, 大学院理学研究科, 助教 (00758964)
Research Collaborator	TAYLOR James N. TSUGAWA Satoru NAKAGAWA Masaki
Project Period (FY)	2011-04-01 – 2016-03-31
Keywords	生物物理学 / 生体高分子 / 反応拡散系 / 複雑ネットワーク / 分子個性・細胞個性 / １分子時系列解析 / 数理モデル化 / 少数性生物学
Outline of Final Research Achievements	We developed multiple theories to explain chemo-mechanical complex networks involving a small number of elements, such as a general theory to predict small-number effects in catalytic reaction networks and a dynamic simulation approach to evaluate mechanical communication pathways between molecules or subunits. We also devised methods to analyze noisy data, including model-free change point analysis, error-based extraction of free-energy landscapes, and modeling with minimum excessive information that is not warranted by the data, to provide a basis to explain the individuality of molecules and cells using data science. We demonstrated the validity and applicability of these theoretical results for actual experiments in the field of “minority biology”.
Free Research Field	理論生物物理学