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Mathematical Optimization Applications in Metabolic Networks.
MedLine Citation:
PMID:  23026121     Owner:  NLM     Status:  Publisher    
Abstract/OtherAbstract:
Genome-scale metabolic models are increasingly becoming available for a variety of microorganisms. This has spurred the development of a wide array of computational tools, and in particular, mathematical optimization approaches, to assist in fundamental metabolic network analyses and redesign efforts. This review highlights a number of optimization-based frameworks developed towards addressing challenges in the analysis and engineering of metabolic networks. In particular, three major types of studies are covered here including exploring model predictions, correction and improvement of models of metabolism, and redesign of metabolic networks for the targeted overproduction of a desired compound. Overall, the methods reviewed in this paper highlight the diversity of queries, breadth of questions and complexity of redesign that are amenable to mathematical optimization strategies.
Authors:
Ali R Zomorrodi; Patrick F Suthers; Sridhar Ranganathan; Costas D Maranas
Publication Detail:
Type:  JOURNAL ARTICLE     Date:  2012-9-28
Journal Detail:
Title:  Metabolic engineering     Volume:  -     ISSN:  1096-7184     ISO Abbreviation:  Metab. Eng.     Publication Date:  2012 Sep 
Date Detail:
Created Date:  2012-10-2     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  9815657     Medline TA:  Metab Eng     Country:  -    
Other Details:
Languages:  ENG     Pagination:  -     Citation Subset:  -    
Copyright Information:
Copyright © 2012. Published by Elsevier Inc.
Affiliation:
Department of Chemical Engineering, The Pennsylvania State University, University Park, PA.
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