台灣大學 生物產業機電工程學系
於本週五下午兩點於農機館二樓會議室
榮幸地邀請到歐洲本田研究所(the Honda Research Institute Europe)研究員 金耀初 博士, 前來本系演講
演講主題為
Computational Modeling of Gene Regulatory Networks: Analysis, Synthesis and Applications
(金教授本身會講國語)
Yaochu Jin
Honda Research Institute Europe
Abstract. This talk is concerned with computational models of biological gene regulatory networks, robustness and evolvability analysis of these models, in silico synthesis of genetic networks that can produce biologically essential dynamics, and the application of gene regulatory models to solving scientific and engineering problems.
We begin with a short overview and categorization of the existing computational models of gene regulatory networks, exemplified by the Boolean networks and ordinary differential equations. On the basis of this introduction, we are going to discuss three related topics with the help of gene regulatory networks. First, we will present a few pieces of interesting recent work on analysis of robustness and evolvability of gene regulatory networks, particularly in terms of the effects of positive and negative
feedback loops, the coherency of the feedback loops and the regulation logic. The relationship between robustness and evolvability will also be briefly discussed. While the analysis of robustness of gene regulatory networks is very inspiring for understanding biological systems, it is also of great value to verify under which conditions biologically important regulatory dynamics such as bistability and limit cycles can be evolved in silico. We study, with the help of an artificial evolutionary system,
the influence of various aspects in the gene regulation model, such as the Hill coefficient and the regulation logic on the easiness of evolving the typical regulation dynamics. In the last part of the talk, we will provide three application examples of gene regulatory network to modeling cellular growth and neural development, and to the autonomous formation of multi-robot systems.
由於內容牽涉到演算法內容, 歡迎同學前來聽講, 相信必有所收穫.
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