Title :
Optimization of biochemical networks under uncertainty
Author_Institution :
Dept. of Math., Bohai Univ., Jinzhou, China
Abstract :
This paper considers the optimization problem of biochemical systems represented by the S-system formalism under uncertainty. The uncertain optimization problem is firstly proposed and is then transformed into an equivalent problem that can be solved with a modified iterative IOM algorithm. Finally, the example of tryptophan biosynthesis is performed to proposed framework of optimization under kinetic orders uncertainty. The modified iterative IOM approach is proven to be very attractive.
Keywords :
biochemistry; biocybernetics; complex networks; iterative methods; optimisation; organic compounds; S-system formalism; biochemical network optimisation; equivalent problem; indirect optimization method; modified iterative IOM algorithm; tryptophan biosynthesis; uncertain optimisation problem; uncertainty; Amino acids; Binary search trees; Biological system modeling; Biological systems; Iterative methods; Kinetic theory; Optimization methods; Optimized production technology; Steady-state; Uncertainty;
Conference_Titel :
Biomedical Circuits and Systems Conference, 2009. BioCAS 2009. IEEE
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-4917-0
Electronic_ISBN :
978-1-4244-4918-7
DOI :
10.1109/BIOCAS.2009.5372061