S. Müller

发表

A Toy Model of Chemical Reaction Networks

Michael T. Wolfinger, Ingrid G. Abfalter, P. Schuster, 2002 .

Inverse problems in systems biology

H. Engl, P. Schuster, C. Flamm, 2009 .

Recombination and the Structure of Globular Proteins

Michael T. Wolfinger, Ingrid G. Abfalter, P. Schuster, 2001 .

A minimal and self-consistent in silico cell model based on macromolecular interactions

P. Schuster, C. Flamm, L. Endler, 2007, Philosophical Transactions of the Royal Society B: Biological Sciences.

Toward Genome‐Scale Metabolic Pathway Analysis

C. Jungreuthmayer, J. Zanghellini, Michael Hanscho, 2016 .

Elementary vectors and conformal sums in polyhedral geometry and applications in metabolic pathway analysis

S. Müller, G. Regensburger, 2015 .

Elementary Vectors and Conformal Sums in Polyhedral Geometry and their Relevance for Metabolic Pathway Analysis

S. Müller, G. Regensburger, 2015, Front. Genet..

Which sets of elementary flux modes form thermodynamically feasible flux distributions?

C. Jungreuthmayer, J. Zanghellini, S. Müller, 2016, The FEBS journal.

A generalized model of the repressilator

Stefanie Widder, Josef Hofbauer, Lukas Endler, 2006, Journal of mathematical biology.

A Variation on Algorithms for Pairwise Global Alignments

Ingrid G. Abfalter, P. Schuster, P. Stadler, 2001 .

Graph Grammars as Models for the Evolution of Developmental Pathways

P. Stadler, C. Flamm, M. Beck, 2004 .

A Deficiency-Based Approach to Parametrizing Positive Equilibria of Biochemical Reaction Systems

M. Johnston, S. Müller, C. Pantea, 2018, Bulletin of Mathematical Biology.

Parameter identification for chemical reaction systems using sparsity enforcing regularization: a case study for the chlorite-iodide reaction.

P. Kügler, S. Müller, E. Gaubitzer, 2009, The journal of physical chemistry. A.

Johann Radon Institute for Computational and Applied Mathematics

H. Engl, P. Kügler, S. Müller, 2014 .

Complex-balanced equilibria of generalized mass-action systems: necessary conditions for linear stability.

S. Müller, G. Regensburger, B. Boros, 2019, Mathematical biosciences and engineering : MBE.

Sign Conditions for Injectivity of Generalized Polynomial Maps with Applications to Chemical Reaction Networks and Real Algebraic Geometry

Anne Shiu, C. Conradi, A. Dickenstein, 2015, Foundations of Computational Mathematics.

Graph Grammars as Models for the Evolution of Developmental Pathways

P. Stadler, C. Flamm, M. Beck, 2004 .

On the Bijectivity of Families of Exponential/Generalized Polynomial Maps

Josef Hofbauer, Stefan Müller, Georg Regensburger, 2018, SIAM J. Appl. Algebra Geom..

Elementary growth modes/vectors and minimal autocatalytic sets for kinetic/constraint-based models of cellular growth

S. Müller, 2021, bioRxiv.

Sign Conditions for Injectivity of Generalized Polynomial Maps with Applications to Chemical Reaction Networks and Real Algebraic Geometry

Alicia Dickenstein, Elisenda Feliu, Carsten Conradi, 2013, Found. Comput. Math..

Generalized Mass-Action Systems and Positive Solutions of Polynomial Equations with Real and Symbolic Exponents

Georg Regensburger, Stefan Müller, S. Müller, 2014, CASC.

Enzyme allocation problems in kinetic metabolic networks: optimal solutions are elementary flux modes.

Georg Regensburger, Stefan Müller, Ralf Steuer, 2013, Journal of theoretical biology.

Generalized Mass Action Systems: Complex Balancing Equilibria and Sign Vectors of the Stoichiometric and Kinetic-Order Subspaces

Georg Regensburger, Stefan Müller, S. Müller, 2012, SIAM J. Appl. Math..

The SBML ODE Solver Library: a native API for symbolic and fast numerical analysis of reaction networks

Stefanie Widder, Andrew Finney, Christoph Flamm, 2006, Bioinform..

From elementary flux modes to elementary flux vectors: Metabolic pathway analysis with arbitrary linear flux constraints

Steffen Klamt, Christian Jungreuthmayer, Stefan Schuster, 2017, PLoS Comput. Biol..

Resource allocation in metabolic networks: kinetic optimization and approximations by FBA.

Georg Regensburger, Stefan Müller, Ralf Steuer, 2015, Biochemical Society transactions.

Practical Guidelines for Incorporating Knowledge-Based and Data-Driven Strategies into the Inference of Gene Regulatory Networks

Wei Yang, Christoph Flamm, Ivo L. Hofacker, 2016, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Inverse problems in systems biology

H. Engl, P. Schuster, C. Flamm, 2009 .

Inverse problems in systems biology

H. Engl, P. Schuster, C. Flamm, 2009 .

A mathematical framework for yield (vs. rate) optimization in constraint-based modeling and applications in metabolic engineering

Steffen Klamt, Georg Regensburger, Stefan Müller, 2018, Metabolic engineering.

Enzyme allocation problems in kinetic metabolic networks: optimal solutions are elementary flux modes.

R. Steuer, S. Müller, G. Regensburger, 2013, Journal of theoretical biology.

Complex-balanced equilibria of generalized mass-action systems: necessary conditions for linear stability.

S. Müller, G. Regensburger, B. Boros, 2019, Mathematical biosciences and engineering : MBE.

The Center Problem for the Lotka Reactions with Generalized Mass-Action Kinetics

Josef Hofbauer, Georg Regensburger, Stefan Müller, 2017, Qualitative Theory of Dynamical Systems.

On Global Stability of the Lotka Reactions with Generalized Mass-Action Kinetics

Josef Hofbauer, Stefan Müller, J. Hofbauer, 2016, Acta Applicandae Mathematicae.

Sign Conditions for Injectivity of Generalized Polynomial Maps with Applications to Chemical Reaction Networks and Real Algebraic Geometry

Anne Shiu, C. Conradi, A. Dickenstein, 2013, Foundations of Computational Mathematics.

The SBML ODE Solver Library: a native API for symbolic and fast numerical analysis of reaction networks

A. Finney, Rainer Machné, S. Müller, 2006, Bioinform..

Parameter Identification in Systems Biology: Solving Ill-posed Inverse Problems using Regularization

H. Engl, P. Kügler, S. Müller, 2008 .

Flux tope analysis: studying the coordination of reaction directions in metabolic networks

Georg Regensburger, Matthias P. Gerstl, Jürgen Zanghellini, 2018, Bioinform..