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Bernd Blasius

dblp:91/6487 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2007
0000-0002-6558-1462ORCID · reported

Domains — the database's venue-derived domains; a paper can count in several

Applied, interdisciplinary, general and emerging computing · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Interdisciplinary, comprehensive, and emerging computing
1 paper
Bioinformatics and computational biology · 100%

Topics — the 2 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › systems bioinformatics › pathway analysis
metabolic pathway analysis
0.112007
From structure to dynamics of metabolic pathways: application to the plant mitochondrial TCA cycle · Bioinform. 2007
Bioinformatics and computational biology › systems biology › metabolic network analysis
elementary flux modes
0.012007
From structure to dynamics of metabolic pathways: application to the plant mitochondrial TCA cycle · Bioinform. 2007

Methods — techniques the papers use, named apart from their topics

stability optimization · 0.1parametric differential equation modeling · 0.1
YearPublicationVenuePosition
2007 From structure to dynamics of metabolic pathways: application to the plant mitochondrial TCA cycle
abstract
MOTIVATION: Mitochondrial metabolism, dominated by the reactions of the tricarboxylic acid (TCA) cycle, is of vital importance for a wide range of metabolic processes. In particular for autotrophic tissue, such as plant leaves, the TCA cycle marks the point of divergence of anabolic pathways and plays an essential role in biosynthesis. However, despite extensive knowledge about its stoichiometric properties, the function and the dynamical capabilities of the TCA cycle remain largely unknown. METHODS AND RESULTS: Based on a recently proposed formalism, we investigate the dynamic and functional properties of the mitochondrial TCA cycle of plants. Starting with the structural properties, as described by the elementary flux modes of the system, we aim for the transition from structure to the dynamics of the TCA cycle. Using a parametric description of the system, encompassing all possible differential equations and parameter values, we detect and quantify regimes of different dynamic behavior. Optimizing the system with respect to dynamic stability, we demonstrate that maximal stability is associated with specific (relative) metabolite concentrations and flux values that are subsequently compared to the experimental literature. Our analysis also serves as a general example how to elucidate the transition from the structure to the dynamics of metabolic pathways.
Ralf Steuer, Adriano Nunes Nesi, Alisdair R. Fernie, Thilo Gross, Bernd Blasius, Joachim Selbig
Bioinform.5