Stefan Müller
Stefan Müller
Faculty of Mathematics, University of Vienna
Bestätigte E-Mail-Adresse bei - Startseite
Zitiert von
Zitiert von
Inverse problems in systems biology
HW Engl, C Flamm, P Kügler, J Lu, S Müller, P Schuster
Inverse Problems 25 (12), 123014, 2009
The SBML ODE Solver Library: a native API for symbolic and fast numerical analysis of reaction networks
R Machné, A Finney, S Müller, J Lu, S Widder, C Flamm
Bioinformatics 22 (11), 1406-1407, 2006
A generalized model of the repressilator
S Müller, J Hofbauer, L Endler, C Flamm, S Widder, P Schuster
Journal of mathematical biology 53 (6), 905-937, 2006
Sign conditions for injectivity of generalized polynomial maps with applications to chemical reaction networks and real algebraic geometry
S Müller, E Feliu, G Regensburger, C Conradi, A Shiu, A Dickenstein
Foundations of Computational Mathematics 16 (1), 69-97, 2016
In vivo Polycomb kinetics and mitotic chromatin binding distinguish stem cells from differentiated cells
JP Fonseca, PA Steffen, S Müller, J Lu, A Sawicka, C Seiser, L Ringrose
Genes & development 26 (8), 857-871, 2012
Generalized mass action systems: Complex balancing equilibria and sign vectors of the stoichiometric and kinetic-order subspaces
S Muller, G Regensburger
SIAM Journal on Applied Mathematics 72 (6), 1926-1947, 2012
From elementary flux modes to elementary flux vectors: Metabolic pathway analysis with arbitrary linear flux constraints
S Klamt, G Regensburger, MP Gerstl, C Jungreuthmayer, S Schuster, ...
PLoS computational biology 13 (4), e1005409, 2017
Enzyme allocation problems in kinetic metabolic networks: Optimal solutions are elementary flux modes
S Müller, G Regensburger, R Steuer
Journal of theoretical biology 347, 182-190, 2014
Generalized Mass-Action Systems and Positive Solutions of Polynomial Equations with Real and Symbolic Exponents (Invited Talk)
S Müller, G Regensburger
International Workshop on Computer Algebra in Scientific Computing, 302-323, 2014
Parameter Identification for Chemical Reaction Systems Using Sparsity Enforcing Regularization: A Case Study for the Chlorite− Iodide Reaction
P Kugler, E Gaubitzer, S Müller
The Journal of Physical Chemistry A 113 (12), 2775-2785, 2009
A mathematical framework for yield (vs. rate) optimization in constraint-based modeling and applications in metabolic engineering
S Klamt, S Müller, G Regensburger, J Zanghellini
Metabolic engineering 47, 153-169, 2018
Biochemical space: a framework for systemic annotation of biological models
M Klement, T Děd, D Šafránek, J Červený, S Mueller, R Steuer
Electronic Notes in Theoretical Computer Science 306, 31-44, 2014
Elucidating the adaptation and temporal coordination of metabolic pathways using in-silico evolution
W Gottstein, S Müller, H Herzel, R Steuer
Biosystems 117, 68-76, 2014
A comprehensive web-based platform for domain-specific biological models
M Klement, D Šafránek, T Děd, A Pejznoch, L Nedbal, R Steuer, ...
Electronic Notes in Theoretical Computer Science 299, 61-67, 2013
Which sets of elementary flux modes form thermodynamically feasible flux distributions?
MP Gerstl, C Jungreuthmayer, S Müller, J Zanghellini
The FEBS journal 283 (9), 1782-1794, 2016
Elementary vectors and conformal sums in polyhedral geometry and their relevance for metabolic pathway analysis
S Müller, G Regensburger
Frontiers in Genetics 7, 90, 2016
On global stability of the Lotka reactions with generalized mass-action kinetics
B Boros, J Hofbauer, S Müller
Acta Applicandae Mathematicae 151 (1), 53-80, 2017
A minimal and self-consistent in silico cell model based on macromolecular interactions
C Flamm, L Endler, S Müller, S Widder, P Schuster
Philosophical Transactions of the Royal Society B: Biological Sciences 362 …, 2007
Resource allocation in metabolic networks: kinetic optimization and approximations by FBA
S Müller, G Regensburger, R Steuer
Biochemical Society Transactions 43 (6), 1195-1200, 2015
Flux tope analysis: studying the coordination of reaction directions in metabolic networks
MP Gerstl, S Müller, G Regensburger, J Zanghellini
Bioinformatics 35 (2), 266-273, 2019
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