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Path2Models: large-scale generation of computational models from biochemical pathway maps

2013-11-01Journal article Open access
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dc.contributor.authorBüchel, Finja
dc.contributor.authorRodriguez, Nicolas
dc.contributor.authorSwainston, Neil
dc.contributor.authorWrzodek, Clemens
dc.contributor.authorCzauderna, Tobias
dc.contributor.authorKeller, Roland
dc.contributor.authorMittag, Florian
dc.contributor.authorSchubert, Michael
dc.contributor.authorGlont, Mihai
dc.contributor.authorGolebiewski, Martin
dc.contributor.authorvan Iersel, Martijn
dc.contributor.authorKeating, Sarah
dc.contributor.authorRall, Matthias
dc.contributor.authorWybrow, Michael
dc.contributor.authorHermjakob, Henning
dc.contributor.authorHucka, Michael
dc.contributor.authorKell, Douglas B
dc.contributor.authorMüller, Wolfgang
dc.contributor.authorMendes, Pedro
dc.contributor.authorZell, Andreas
dc.contributor.authorChaouiya, Claudine
dc.contributor.authorSaez-Rodriguez, Julio
dc.contributor.authorSchreiber, Falk
dc.contributor.authorLaibe, Camille
dc.contributor.authorDräger, Andreas
dc.contributor.authorLe Novère, Nicolas
dc.date.accessioned2015-10-23T15:00:27Z
dc.date.available2015-10-23T15:00:27Z
dc.date.issued2013-11-01
dc.description.abstractSystems biology projects and omics technologies have led to a growing number of biochemical pathway models and reconstructions. However, the majority of these models are still created de novo, based on literature mining and the manual processing of pathway data.pt_PT
dc.description.sponsorshipUS National Institute of General Medical Sciences grant: (GM070923), Federal Ministry of Education and Research (BMBF, German) grants: (0315756, 01GS08134), Marie Curie International Outgoing Fellowship, US National Institute of General Medical Sciences grant: (GM080219), BBSRC grant: (BB/J019259/1), EMBL-EBI, nnovative Medicines Initiative Joint Undertaking under grant agreement: (115156)pt_PT
dc.identifier10.1186/1752-0509-7-116
dc.identifier.citationBüchel et al. : Path2Models: large-scale generation of computational models from biochemical pathway maps. BMC Systems Biology 2013 7 :116pt_PT
dc.identifier.doi10.1186/1752-0509-7-116
dc.identifier.urihttp://hdl.handle.net/10400.7/436
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherBioMed Centralpt_PT
dc.relationEukaryotic unicellular organism biology – systems biology of the control of cell growth and proliferation
dc.relationFrom Data to Models: New Bioinformatics Methods and Tools for Data-Driven Predictive Dynamic Modelling in Biotechnological Applications
dc.relationAutomated multi-level modeling of biological systems considering physico-chemical constraints
dc.relation.publisherversionhttp://www.biomedcentral.com/1752-0509/7/116pt_PT
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectModular rate lawpt_PT
dc.subjectConstraint based modelspt_PT
dc.subjectLogical modelspt_PT
dc.subjectSBGNpt_PT
dc.subjectSBMLpt_PT
dc.titlePath2Models: large-scale generation of computational models from biochemical pathway mapspt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.awardTitleEukaryotic unicellular organism biology – systems biology of the control of cell growth and proliferation
oaire.awardTitleFrom Data to Models: New Bioinformatics Methods and Tools for Data-Driven Predictive Dynamic Modelling in Biotechnological Applications
oaire.awardTitleAutomated multi-level modeling of biological systems considering physico-chemical constraints
oaire.awardURIinfo:eu-repo/grantAgreement/EC/FP7/201142/EU
oaire.awardURIinfo:eu-repo/grantAgreement/EC/FP7/289434/EU
oaire.awardURIinfo:eu-repo/grantAgreement/EC/FP7/332020/EU
oaire.citation.endPage19pt_PT
oaire.citation.issue1pt_PT
oaire.citation.startPage1pt_PT
oaire.citation.titleBMC Systems Biologypt_PT
oaire.citation.volume7pt_PT
oaire.fundingStreamFP7
oaire.fundingStreamFP7
oaire.fundingStreamFP7
project.funder.identifierhttp://doi.org/10.13039/501100008530
project.funder.identifierhttp://doi.org/10.13039/501100008530
project.funder.identifierhttp://doi.org/10.13039/501100008530
project.funder.nameEuropean Commission
project.funder.nameEuropean Commission
project.funder.nameEuropean Commission
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
relation.isProjectOfPublicationff7016ea-a6a3-41b1-8172-2ebe70f36278
relation.isProjectOfPublication54767317-d391-4ed9-8fd8-9b50873c51c5
relation.isProjectOfPublicationcd896f57-4046-4a66-9b5b-dd2338abacf4
relation.isProjectOfPublication.latestForDiscoveryff7016ea-a6a3-41b1-8172-2ebe70f36278

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