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Group Contribution Method for Thermodynamic Analysis of Complex Metabolic Networks
A new, to our knowledge, group contribution method based on the group contribution method of Mavrovouniotis is introduced for estimating the standard Gibbs free energy of formation (Δ f G′°) and reaction (Δ r G′°) in biochemical systems. Gibbs free energy contribution values were estimated for 74 di...
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Published in: | Biophysical journal 2008-08, Vol.95 (3), p.1487-1499 |
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description | A new, to our knowledge, group contribution method based on the group contribution method of Mavrovouniotis is introduced for estimating the standard Gibbs free energy of formation (Δ
f
G′°) and reaction (Δ
r
G′°) in biochemical systems. Gibbs free energy contribution values were estimated for 74 distinct molecular substructures and 11 interaction factors using multiple linear regression against a training set of 645 reactions and 224 compounds. The standard error for the fitted values was 1.90
kcal/mol. Cross-validation analysis was utilized to determine the accuracy of the methodology in estimating Δ
r
G′° and Δ
f
G′° for reactions and compounds not included in the training set, and based on the results of the cross-validation, the standard error involved in these estimations is 2.22
kcal/mol. This group contribution method is demonstrated to be capable of estimating Δ
r
G′° and Δ
f
G′° for the majority of the biochemical compounds and reactions found in the
iJR904 and
iAF1260 genome-scale metabolic models of
Escherichia coli and in the Kyoto Encyclopedia of Genes and Genomes and University of Minnesota Biocatalysis and Biodegradation Database. A web-based implementation of this new group contribution method is available free at
http://sparta.chem-eng.northwestern.edu/cgi-bin/GCM/WebGCM.cgi. |
doi_str_mv | 10.1529/biophysj.107.124784 |
format | article |
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f
G′°) and reaction (Δ
r
G′°) in biochemical systems. Gibbs free energy contribution values were estimated for 74 distinct molecular substructures and 11 interaction factors using multiple linear regression against a training set of 645 reactions and 224 compounds. The standard error for the fitted values was 1.90
kcal/mol. Cross-validation analysis was utilized to determine the accuracy of the methodology in estimating Δ
r
G′° and Δ
f
G′° for reactions and compounds not included in the training set, and based on the results of the cross-validation, the standard error involved in these estimations is 2.22
kcal/mol. This group contribution method is demonstrated to be capable of estimating Δ
r
G′° and Δ
f
G′° for the majority of the biochemical compounds and reactions found in the
iJR904 and
iAF1260 genome-scale metabolic models of
Escherichia coli and in the Kyoto Encyclopedia of Genes and Genomes and University of Minnesota Biocatalysis and Biodegradation Database. A web-based implementation of this new group contribution method is available free at
http://sparta.chem-eng.northwestern.edu/cgi-bin/GCM/WebGCM.cgi.</description><identifier>ISSN: 0006-3495</identifier><identifier>EISSN: 1542-0086</identifier><identifier>DOI: 10.1529/biophysj.107.124784</identifier><identifier>PMID: 18645197</identifier><language>eng</language><publisher>United States: Elsevier Inc</publisher><subject>Biochemistry ; Bioenergetics ; Chemical compounds ; Chemical reactions ; Computer Simulation ; Estimating ; Genomes ; Gibbs free energy ; Mathematical models ; Models, Biological ; Molecular biology ; Proteome - metabolism ; Signal Transduction - physiology ; Standard error ; Thermodynamics ; Training</subject><ispartof>Biophysical journal, 2008-08, Vol.95 (3), p.1487-1499</ispartof><rights>2008 The Biophysical Society</rights><rights>Copyright Biophysical Society Aug 1, 2008</rights><rights>Copyright © 2008, Biophysical Society</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c583t-ba851329d1312f68196166291a5d8e461cac52014655c8c0274237ac176100973</citedby><cites>FETCH-LOGICAL-c583t-ba851329d1312f68196166291a5d8e461cac52014655c8c0274237ac176100973</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC2479599/pdf/$$EPDF$$P50$$Gpubmedcentral$$H</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC2479599/$$EHTML$$P50$$Gpubmedcentral$$H</linktohtml><link.rule.ids>230,314,727,780,784,885,27924,27925,53791,53793</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/18645197$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Jankowski, Matthew D.</creatorcontrib><creatorcontrib>Henry, Christopher S.</creatorcontrib><creatorcontrib>Broadbelt, Linda J.</creatorcontrib><creatorcontrib>Hatzimanikatis, Vassily</creatorcontrib><title>Group Contribution Method for Thermodynamic Analysis of Complex Metabolic Networks</title><title>Biophysical journal</title><addtitle>Biophys J</addtitle><description>A new, to our knowledge, group contribution method based on the group contribution method of Mavrovouniotis is introduced for estimating the standard Gibbs free energy of formation (Δ
f
G′°) and reaction (Δ
r
G′°) in biochemical systems. Gibbs free energy contribution values were estimated for 74 distinct molecular substructures and 11 interaction factors using multiple linear regression against a training set of 645 reactions and 224 compounds. The standard error for the fitted values was 1.90
kcal/mol. Cross-validation analysis was utilized to determine the accuracy of the methodology in estimating Δ
r
G′° and Δ
f
G′° for reactions and compounds not included in the training set, and based on the results of the cross-validation, the standard error involved in these estimations is 2.22
kcal/mol. This group contribution method is demonstrated to be capable of estimating Δ
r
G′° and Δ
f
G′° for the majority of the biochemical compounds and reactions found in the
iJR904 and
iAF1260 genome-scale metabolic models of
Escherichia coli and in the Kyoto Encyclopedia of Genes and Genomes and University of Minnesota Biocatalysis and Biodegradation Database. A web-based implementation of this new group contribution method is available free at
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Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Biophysical journal</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Jankowski, Matthew D.</au><au>Henry, Christopher S.</au><au>Broadbelt, Linda J.</au><au>Hatzimanikatis, Vassily</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Group Contribution Method for Thermodynamic Analysis of Complex Metabolic Networks</atitle><jtitle>Biophysical journal</jtitle><addtitle>Biophys J</addtitle><date>2008-08-01</date><risdate>2008</risdate><volume>95</volume><issue>3</issue><spage>1487</spage><epage>1499</epage><pages>1487-1499</pages><issn>0006-3495</issn><eissn>1542-0086</eissn><abstract>A new, to our knowledge, group contribution method based on the group contribution method of Mavrovouniotis is introduced for estimating the standard Gibbs free energy of formation (Δ
f
G′°) and reaction (Δ
r
G′°) in biochemical systems. Gibbs free energy contribution values were estimated for 74 distinct molecular substructures and 11 interaction factors using multiple linear regression against a training set of 645 reactions and 224 compounds. The standard error for the fitted values was 1.90
kcal/mol. Cross-validation analysis was utilized to determine the accuracy of the methodology in estimating Δ
r
G′° and Δ
f
G′° for reactions and compounds not included in the training set, and based on the results of the cross-validation, the standard error involved in these estimations is 2.22
kcal/mol. This group contribution method is demonstrated to be capable of estimating Δ
r
G′° and Δ
f
G′° for the majority of the biochemical compounds and reactions found in the
iJR904 and
iAF1260 genome-scale metabolic models of
Escherichia coli and in the Kyoto Encyclopedia of Genes and Genomes and University of Minnesota Biocatalysis and Biodegradation Database. A web-based implementation of this new group contribution method is available free at
http://sparta.chem-eng.northwestern.edu/cgi-bin/GCM/WebGCM.cgi.</abstract><cop>United States</cop><pub>Elsevier Inc</pub><pmid>18645197</pmid><doi>10.1529/biophysj.107.124784</doi><tpages>13</tpages><oa>free_for_read</oa></addata></record> |
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source | PubMed Central |
subjects | Biochemistry Bioenergetics Chemical compounds Chemical reactions Computer Simulation Estimating Genomes Gibbs free energy Mathematical models Models, Biological Molecular biology Proteome - metabolism Signal Transduction - physiology Standard error Thermodynamics Training |
title | Group Contribution Method for Thermodynamic Analysis of Complex Metabolic Networks |
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