Multi-Objective Optimization of Biological Networks for Prediction of Intracellular Fluxes

被引：0
|
作者：
Sendin, Jose-Oscar H. [1 ]
Alonso, Antonio A. [1 ]
Banga, Julio R. [1 ]
机构：
[1] CSIC, Inst Invest Marinas, Proc Engn Grp, Vigo 36208, Spain
来源：
2ND INTERNATIONAL WORKSHOP ON PRACTICAL APPLICATIONS OF COMPUTATIONAL BIOLOGY AND BIOINFORMATICS (IWPACBB 2008) | 2009年 / 49卷
关键词：
Multi-objective optimization; Pareto front; Flux Balance Analysis; GROWTH; MODEL;
D O I：
暂无
中图分类号：
Q [生物科学];
学科分类号：
07 ; 0710 ; 09 ;
摘要：
In this contribution, we face the problem of predicting intracellular fluxes using a multi-criteria optimization approach, i.e. the simultaneous optimization of two or more cellular functions. Based on Flux Balance Analysis, we calculate the Pareto set of optimal flux distributions in E. coli for three objectives: maximization of biomass and ATP, and minimization of intracellular fluxes. These solutions are able to predict flux distributions for different environmental conditions without requiring specific constraints, and improve previous published results. We thus illustrate the usefulness of multi-objective optimization for a better understanding of complex biological networks.
引用
收藏
页码：197 / 205
页数：9
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