$Graph theory augmented math programming approach to identify minimal reaction sets in metabolic networks$

Graph theory augmented math programming approach to identify minimal reaction sets in metabolic networks

10.1016/j.compchemeng.2011.05.006

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Bibliographic Details
Main Authors:	Jonnalagadda, S., Balagurunathan, B., Srinivasan, R.
Other Authors:	CHEMICAL & BIOMOLECULAR ENGINEERING
Format:	Article
Published:	2014
Subjects:	Flux Balance Analysis Metabolic engineering Minimal cell Optimization Strain improvement Systems biology
Online Access:	http://scholarbank.nus.edu.sg/handle/10635/63992
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Institution:	National University of Singapore

id	sg-nus-scholar.10635-63992
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spelling	sg-nus-scholar.10635-639922023-10-27T07:05:12Z Graph theory augmented math programming approach to identify minimal reaction sets in metabolic networks Jonnalagadda, S. Balagurunathan, B. Srinivasan, R. CHEMICAL & BIOMOLECULAR ENGINEERING Flux Balance Analysis Metabolic engineering Minimal cell Optimization Strain improvement Systems biology 10.1016/j.compchemeng.2011.05.006 Computers and Chemical Engineering 35 11 2366-2377 CCEND 2014-06-17T07:41:59Z 2014-06-17T07:41:59Z 2011-11-15 Article Jonnalagadda, S., Balagurunathan, B., Srinivasan, R. (2011-11-15). Graph theory augmented math programming approach to identify minimal reaction sets in metabolic networks. Computers and Chemical Engineering 35 (11) : 2366-2377. ScholarBank@NUS Repository. https://doi.org/10.1016/j.compchemeng.2011.05.006 00981354 http://scholarbank.nus.edu.sg/handle/10635/63992 000295723900018 Scopus
institution	National University of Singapore
building	NUS Library
continent	Asia
country	Singapore Singapore
content_provider	NUS Library
collection	ScholarBank@NUS
topic	Flux Balance Analysis Metabolic engineering Minimal cell Optimization Strain improvement Systems biology
spellingShingle	Flux Balance Analysis Metabolic engineering Minimal cell Optimization Strain improvement Systems biology Jonnalagadda, S. Balagurunathan, B. Srinivasan, R. Graph theory augmented math programming approach to identify minimal reaction sets in metabolic networks
description	10.1016/j.compchemeng.2011.05.006
author2	CHEMICAL & BIOMOLECULAR ENGINEERING
author_facet	CHEMICAL & BIOMOLECULAR ENGINEERING Jonnalagadda, S. Balagurunathan, B. Srinivasan, R.
format	Article
author	Jonnalagadda, S. Balagurunathan, B. Srinivasan, R.
author_sort	Jonnalagadda, S.
title	Graph theory augmented math programming approach to identify minimal reaction sets in metabolic networks
title_short	Graph theory augmented math programming approach to identify minimal reaction sets in metabolic networks
title_full	Graph theory augmented math programming approach to identify minimal reaction sets in metabolic networks
title_fullStr	Graph theory augmented math programming approach to identify minimal reaction sets in metabolic networks
title_full_unstemmed	Graph theory augmented math programming approach to identify minimal reaction sets in metabolic networks
title_sort	graph theory augmented math programming approach to identify minimal reaction sets in metabolic networks
publishDate	2014
url	http://scholarbank.nus.edu.sg/handle/10635/63992
_version_	1781782363864301568

Graph theory augmented math programming approach to identify minimal reaction sets in metabolic networks

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