Contents Intro.

Biological networks are complex and consist of hundreds and thousands of reactions that directly and indirectly affect each other. In order to understand the relationship between these reactions in detail, it is necessary to view the network as a whole. Computational models of metabolic networks have been developed to provide an overview on the biosynthetic processes involved in multiple pathways. These models can be used to observe the changes in the concentration of each metabolite corresponding to those that occur during normal and perturbed conditions. It can also be simulated and used to determine how such changes may contribute to the entire biosynthetic process. The use of computational models of this type gives us an in-depth view of the problems that need to be solved and points to new strategies and alternatives. Various approaches can be used to build, reconstruct and simulate a biological pathway model. However, choosing the right approach to building a particular biological model relies on the type of biological pathway it is to represent. Here I will discuss the approaches that are used in my lab to understand the fundamentals of two biological pathway of interest; i.e. secondary metabolite pathway and pathogenesis of Polycystic Ovarian Syndrome.

Details

Publication year

2016

Form

電子化映像資料(1時間13分21秒)

Series title

情報科学研究科・ゼミナール講演 ; 平成28年度

Note

講演者所属: Universiti Kebangsaan Malaysia

講演日: 平成28年10月24日

講演場所: 情報科学研究科大講義室L1

Country of publication

Japan

Title language

English (eng)

Language of texts

English (eng)

Author information

Mohamed-Hussein, Zeti-Azura