Title
Infer objective function of glycerol metabolism in klebsiella pneumoniae basing on bilevel programming.
Abstract
Mathematical modelling of cellular metabolism plays an important role in understanding biological functions and providing identification of targets for biotechnological modification. This paper proposes a nonlinear bilevel programming (NBP) model to infer the objective function of anaerobic glycerol metabolism in Klebsiella Pneumoniae (K. Pneumoniae) for 1, 3-propanediol (1, 3-PD) production. Based on the Kuhn-Tucker optimality condition of the lower level problem, NBP is transformed into a nonlinear programming with complementary and slackness conditions. The authors give the existence theorem of solutions to NBP. An efficient algorithm is proposed to solve NBP and its convergence is also simply analyzed. Numerical results reveal some interesting conclusions, e.g., biomass production is the main force to drive glycerol metabolism, and the objective functions, which are obtained in term of several different groups of flux distributions, are similar.
Year
DOI
Venue
2010
10.1007/s11424-010-8235-1
J. Systems Science & Complexity
Keywords
Field
DocType
metabolism,penalty method,optimization model,klebsiella pneumoniae,bilevel programming,penalty method.,objective function,mathematical modelling,nonlinear programming
Convergence (routing),Existence theorem,Mathematical optimization,Nonlinear system,Bilevel optimization,Glycerol metabolism,Nonlinear programming,Klebsiella pneumoniae,Mathematics,Penalty method
Journal
Volume
Issue
ISSN
23
2
15597067
Citations 
PageRank 
References 
1
0.48
6
Authors
3
Name
Order
Citations
PageRank
Zhaohua Gong1225.31
Yongsheng Yu210.48
Enmin Feng311124.41