16533855

Source:http://linkedlifedata.com/resource/pubmed/id/16533855

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Predicate	Object
rdf:type	pubmed:Citation
lifeskim:mentions	umls-concept:C0039808, umls-concept:C0079488, umls-concept:C0185125, umls-concept:C0443288, umls-concept:C0728724, umls-concept:C1442792, umls-concept:C1706062
pubmed:issue	11
pubmed:dateCreated	2006-5-15
pubmed:abstractText	Constraint-based modeling has proven to be a useful tool in the analysis of biochemical networks. To date, most studies in this field have focused on the use of linear constraints, resulting from mass balance and capacity constraints, which lead to the definition of convex solution spaces. One additional constraint arising out of thermodynamics is known as the "loop law" for reaction fluxes, which states that the net flux around a closed biochemical loop must be zero because no net thermodynamic driving force exists. The imposition of the loop-law can lead to nonconvex solution spaces making the analysis of the consequences of its imposition challenging. A four-step approach is developed here to apply the loop-law to study metabolic network properties: 1), determine linear equality constraints that are necessary (but not necessarily sufficient) for thermodynamic feasibility; 2), tighten V(max) and V(min) constraints to enclose the remaining nonconvex space; 3), uniformly sample the convex space that encloses the nonconvex space using standard Monte Carlo techniques; and 4), eliminate from the resulting set all solutions that violate the loop-law, leaving a subset of steady-state solutions. This subset of solutions represents a uniform random sample of the space that is defined by the additional imposition of the loop-law. This approach is used to evaluate the effect of imposing the loop-law on predicted candidate states of the genome-scale metabolic network of Helicobacter pylori.
pubmed:grant	http://linkedlifedata.com/resource/pubmed/grant/R01 GM 68837
pubmed:commentsCorrections	http://linkedlifedata.com/resource/pubmed/commentcorrection/16533855-10356246, http://linkedlifedata.com/resource/pubmed/commentcorrection/16533855-11175725, http://linkedlifedata.com/resource/pubmed/commentcorrection/16533855-12080101, http://linkedlifedata.com/resource/pubmed/commentcorrection/16533855-12425318, http://linkedlifedata.com/resource/pubmed/commentcorrection/16533855-12432395, http://linkedlifedata.com/resource/pubmed/commentcorrection/16533855-12542691, http://linkedlifedata.com/resource/pubmed/commentcorrection/16533855-14506848, http://linkedlifedata.com/resource/pubmed/commentcorrection/16533855-14595777, http://linkedlifedata.com/resource/pubmed/commentcorrection/16533855-14642354, http://linkedlifedata.com/resource/pubmed/commentcorrection/16533855-14985762, http://linkedlifedata.com/resource/pubmed/commentcorrection/16533855-15135031, http://linkedlifedata.com/resource/pubmed/commentcorrection/16533855-15283984, http://linkedlifedata.com/resource/pubmed/commentcorrection/16533855-15454420, http://linkedlifedata.com/resource/pubmed/commentcorrection/16533855-15494745, http://linkedlifedata.com/resource/pubmed/commentcorrection/16533855-15572364, http://linkedlifedata.com/resource/pubmed/commentcorrection/16533855-15897462, http://linkedlifedata.com/resource/pubmed/commentcorrection/16533855-15962337, http://linkedlifedata.com/resource/pubmed/commentcorrection/16533855-16140239
pubmed:language	eng
pubmed:journal	http://linkedlifedata.com/resource/pubmed/journal/0370626
pubmed:citationSubset	IM
pubmed:status	MEDLINE
pubmed:month	Jun
pubmed:issn	0006-3495
pubmed:author	pubmed-author:PalssonBernhard ØBØ, pubmed-author:PriceNathan DND, pubmed-author:ThieleInesI
pubmed:issnType	Print
pubmed:day	1
pubmed:volume	90
pubmed:owner	NLM
pubmed:authorsComplete	Y
pubmed:pagination	3919-28
pubmed:dateRevised	2009-11-18
pubmed:meshHeading	pubmed-meshheading:16533855-Algorithms, pubmed-meshheading:16533855-Genome, Bacterial, pubmed-meshheading:16533855-Helicobacter pylori, pubmed-meshheading:16533855-Models, Biological, pubmed-meshheading:16533855-Monte Carlo Method, pubmed-meshheading:16533855-Thermodynamics
pubmed:year	2006
pubmed:articleTitle	Candidate states of Helicobacter pylori's genome-scale metabolic network upon application of "loop law" thermodynamic constraints.
pubmed:affiliation	Department of Bioengineering, Bioinformatics Program, University of California-San Diego, 9500 Gilman Drive, La Jolla, CA 92093, USA.
pubmed:publicationType	Journal Article, Research Support, N.I.H., Extramural