Cell is the universal building block of all living organisms from bacteria to human being. Even in bacteria, the most primitive cell, several thousands of materials are produced, transformed, degraded through a huge material network of chemical reactions in response to environmental changes. The complexity of control network is far beyond that of the largest factory in chemical industry. In this talk, we propose a framework for coping with this complexity of material links of intracellular control from the viewpoint of control theory by identifying the so-called operon, a collection of genes that express simultaneously, as a plant.
Inside a cell, all chemical reactions involve only handful molecules due to the smallness of size. The fluctuations thus become dominant in every intracellular bio-chemical process. Probabilistic approach must be taken in quantitative analysis of intracellular regulatory dynamics. In the latter part of this talk, a probabilistic framework of describing bio-chemical processes including gene regulatory network and metabolic process is given based on master equation. Graph theoretic approach is used to compute the stationary configuration of protein/protein interactions which plays a key role in quantitatively describing regulatory dynamics. Several specific networks are analyzed in detail based on our approach.
报告人简历：
Professor Kimura got the degrees of Bachelor, Master and Doctors from the University of Tokyo in 1965, 1967 and 1970, respectively. He joined the Department of Control Engineering at Osaka University in 1970 where he was engaged in research and education of control theory and its applications for 17 years. Meantime, he stayed in UK during academic years 1974-75 as a scholar of British Council. In 1986, he moved to the department of mechanical engineering for computer-
controlled machinery and then joined the Graduate School of the University of Tokyo in 1995. He stayed at Delft University of Science and Technology as a guest professor in 1994 and at the University of California at Berkeley as a Springer Professor in 1995. In 2004, he retired the University of Tokyo and joined the Institute of Physical and Chemical Research where he is working as a team leader of Biological Control Systems Laboratory.
He is now a Council Member of IFAC representing Japan (International Federation of Automatic Control), a Managing Editor of Asian Journal of Control, an associate member of Scientific Council of Japan, and the President of Asian Control Association. He was the President of SICE (the Society of Instrument and Control Engineers, Japan) and a General Chair of MTNS 1991 (Mathematical Theory of Networks and Systems) and CDC 1996 (Conference on Decision and Control).
He is a Fellow of SICE and IEEE. He was awarded SICE paper awards four times, IFAC Paper Prize twice and George Axelby Award of IEEE Transactions on Automatic Control in 1984.
His current research interest is in biological control.
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