Descriptive and Predictive Applications of Constraint-Based Metabolic Models

被引：0
作者：
Reed, Jennifer L. [1 ]
机构：
[1] Univ Wisconsin, Madison, WI 53706 USA
来源：
2009 ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOLS 1-20 | 2009年
关键词：
FLUX BALANCE MODELS; ESCHERICHIA-COLI; TRANSCRIPTIONAL REGULATION; RECONSTRUCTION; NETWORKS;
D O I：
10.1109/IEMBS.2009.5334064
中图分类号：
R318 [生物医学工程];
学科分类号：
0831 ;
摘要：
Constraint-based models of metabolism are becoming available for an increasing number of organisms. These models can be used in combination with existing experimental data to describe the behavior of an organism and to analyze experimental observations in the context of a model. Such a descriptive application of the models can also allow for the integration of various types of data. Additionally, these models can be used in a predictive fashion to hypothesize the outcomes of new experiments. Comparing model predictions with experimental results allows for the iterative improvement of developed models and increases our understanding of the organism being studied. A number of recent examples of both descriptive and predictive applications of constraint-based models are discussed.
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收藏
页码：5460 / 5463
页数：4
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