Planning isotopomer measurements for estimation of metabolic fluxes
dc.contributor.author | Rantanen, Ari | |
dc.contributor.author | Mielikäinen, Taneli | |
dc.contributor.author | Rousu, Juho | |
dc.contributor.author | Ukkonen, Esko | |
dc.contributor.editor | Torda, Andrew | |
dc.contributor.editor | Kurtz, Stefan | |
dc.contributor.editor | Rarey, Matthias | |
dc.date.accessioned | 2019-08-27T08:22:36Z | |
dc.date.available | 2019-08-27T08:22:36Z | |
dc.date.issued | 2005 | |
dc.description.abstract | Flux estimation by using isotopomer information of metabolites is currently the only method that can give quantitative estimates of the activity of metabolic pathways. However, the measurement of isotopomer distributions of intermediate metabolites is costly and tedious with current technologies. In this paper we study the question of finding the smallest subset of metabolites to measure that ensure an adequate level of the isotopomer information. We study the computational complexity of this optimization problem in the case of the so-called positional enrichment data, give exact and fast heuristic solutions and evaluate empirically the efficacy of the proposed methods. | en |
dc.identifier.isbn | 3-88579-400-4 | |
dc.identifier.pissn | 1617-5468 | |
dc.identifier.uri | https://dl.gi.de/handle/20.500.12116/24933 | |
dc.language.iso | en | |
dc.publisher | Gesellschaft für Informatik e.V. | |
dc.relation.ispartof | German Conference on Bioinformatics 2005 (GCB 2005) | |
dc.relation.ispartofseries | Lecture Notes in Informatics (LNI) - Proceedings, Volume P-71 | |
dc.title | Planning isotopomer measurements for estimation of metabolic fluxes | en |
dc.type | Text/Conference Paper | |
gi.citation.endPage | 191 | |
gi.citation.publisherPlace | Bonn | |
gi.citation.startPage | 177 | |
gi.conference.date | 5.-7. Oktober 2005 | |
gi.conference.location | Hamburg | |
gi.conference.sessiontitle | Regular Research Papers |
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