Title :
System identification models for gene regulation system
Author :
Wang Yong ; Zhang Xiang-Sun ; Katsuhisa, H. ; Chen Luonan
Author_Institution :
Acad. of Math. & Syst. Sci., Chinese Acad. of Sci., Beijing, China
Abstract :
Recent bio-technologies enable us to successfully discover the functional organization of a cell by simultaneously measuring the dynamic change of concentrations of thousands of bio-molecules after specific perturbation. Such available input-output data offer system identification great chances and meanwhile challenges to build mathematical models of the dynamic transcriptional control system, which is fundamentally important in systems biology. Here, we propose a general mathematical framework to describe the real world of transcriptional control system and the related system identification problems. Then some existing models are briefly introduced within this unified framework to infer gene regulatory networks or transcriptional regulatory network by incorporating prior information both on network structure and heterogeneous data sources.
Keywords :
biocontrol; biotechnology; genetics; identification; molecular biophysics; optimisation; biomolecules; biotechnology; cell functional organization; dynamic transcriptional control system; gene regulation system; gene regulatory networks; general mathematical framework; heterogeneous data sources; network structure; system identification models; systems biology; transcriptional regulatory network; Biological system modeling; DNA; Data models; Equations; Mathematical model; Proteins; Gene Regulation System; Optimization; System Identification;
Conference_Titel :
Control Conference (CCC), 2010 29th Chinese
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-6263-6
