Jörg Stelling

Summary

Affiliation: Max Planck Institute for Dynamics of Complex Technical Systems
Country: Germany

Publications

  1. ncbi request reprint Metabolic network structure determines key aspects of functionality and regulation
    Jörg Stelling
    Max Planck Institute for Dynamics of Complex Technical Systems, D 39106 Magdeburg, Germany
    Nature 420:190-3. 2002
  2. ncbi request reprint Robustness of cellular functions
    Jörg Stelling
    Max Planck Institute for Dynamics of Complex Technical Systems, D 39106 Magdeburg, Germany
    Cell 118:675-85. 2004
  3. ncbi request reprint Mathematical models in microbial systems biology
    Jörg Stelling
    Max Planck Institute for Dynamics of Complex Technical Systems, Sandtorstr 1, 39106 Magdeburg, Germany
    Curr Opin Microbiol 7:513-8. 2004
  4. ncbi request reprint Mathematical modeling of complex regulatory networks
    Jörg Stelling
    Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg 39106, Germany
    IEEE Trans Nanobioscience 3:172-9. 2004
  5. ncbi request reprint Two approaches for metabolic pathway analysis?
    Steffen Klamt
    Max Planck Institute for Dynamics of Complex Technical Systems, Sandtorstr 1, D 39106 Magdeburg, Germany
    Trends Biotechnol 21:64-9. 2003
  6. ncbi request reprint FluxAnalyzer: exploring structure, pathways, and flux distributions in metabolic networks on interactive flux maps
    Steffen Klamt
    Max Planck Institute for Dynamics of Complex Technical Systems, Sandtorstrasse 1, D 39106 Magdeburg, Germany
    Bioinformatics 19:261-9. 2003
  7. pmc Robustness properties of circadian clock architectures
    Jörg Stelling
    Max Planck Institute for Dynamics of Complex Technical Systems, D 39106 Magdeburg, Germany
    Proc Natl Acad Sci U S A 101:13210-5. 2004
  8. ncbi request reprint Combinatorial complexity of pathway analysis in metabolic networks
    Steffen Klamt
    Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg, Germany
    Mol Biol Rep 29:233-6. 2002
  9. pmc Subnetwork analysis reveals dynamic features of complex (bio)chemical networks
    Carsten Conradi
    Max Planck Institute for Dynamics of Complex Technical Systems, Sandtorstrasse 1, 39106 Magdeburg, Germany
    Proc Natl Acad Sci U S A 104:19175-80. 2007

Collaborators

Detail Information

Publications9

  1. ncbi request reprint Metabolic network structure determines key aspects of functionality and regulation
    Jörg Stelling
    Max Planck Institute for Dynamics of Complex Technical Systems, D 39106 Magdeburg, Germany
    Nature 420:190-3. 2002
    ..This is achieved by determining and analysing the non-decomposable pathways able to operate coherently at steady state (elementary flux modes). We use the example of Escherichia coli central metabolism to illustrate the method...
  2. ncbi request reprint Robustness of cellular functions
    Jörg Stelling
    Max Planck Institute for Dynamics of Complex Technical Systems, D 39106 Magdeburg, Germany
    Cell 118:675-85. 2004
    ..Robustness may be a key to understanding cellular complexity, elucidating design principles, and fostering closer interactions between experimentation and theory...
  3. ncbi request reprint Mathematical models in microbial systems biology
    Jörg Stelling
    Max Planck Institute for Dynamics of Complex Technical Systems, Sandtorstr 1, 39106 Magdeburg, Germany
    Curr Opin Microbiol 7:513-8. 2004
    ..Guided by common themes such as modularity, optimality and robustness, iterative model development promises further progress towards a system-level understanding...
  4. ncbi request reprint Mathematical modeling of complex regulatory networks
    Jörg Stelling
    Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg 39106, Germany
    IEEE Trans Nanobioscience 3:172-9. 2004
    ..We discuss these three aspects of model development using the example of cell cycle regulation in yeast and suggest that capturing complex dynamic networks is feasible despite incomplete (quantitative) biological knowledge...
  5. ncbi request reprint Two approaches for metabolic pathway analysis?
    Steffen Klamt
    Max Planck Institute for Dynamics of Complex Technical Systems, Sandtorstr 1, D 39106 Magdeburg, Germany
    Trends Biotechnol 21:64-9. 2003
    ..This is quite often the case in realistic applications. In our opinion, the unification of both approaches into one common framework for metabolic pathway analysis is necessary and achievable...
  6. ncbi request reprint FluxAnalyzer: exploring structure, pathways, and flux distributions in metabolic networks on interactive flux maps
    Steffen Klamt
    Max Planck Institute for Dynamics of Complex Technical Systems, Sandtorstrasse 1, D 39106 Magdeburg, Germany
    Bioinformatics 19:261-9. 2003
    ..The need of a user-friendly platform for stoichiometric modeling of metabolic networks in silico is evident...
  7. pmc Robustness properties of circadian clock architectures
    Jörg Stelling
    Max Planck Institute for Dynamics of Complex Technical Systems, D 39106 Magdeburg, Germany
    Proc Natl Acad Sci U S A 101:13210-5. 2004
    ..The complex feedback structures encountered in vivo, however, do not seem to enhance robustness per se but confer robust precision and adjustability of the clock while avoiding catastrophic failure...
  8. ncbi request reprint Combinatorial complexity of pathway analysis in metabolic networks
    Steffen Klamt
    Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg, Germany
    Mol Biol Rep 29:233-6. 2002
    ..Hence, to a certain extent, pathway analysis of central catabolism is feasible to assess network properties such as flexibility and functionality...
  9. pmc Subnetwork analysis reveals dynamic features of complex (bio)chemical networks
    Carsten Conradi
    Max Planck Institute for Dynamics of Complex Technical Systems, Sandtorstrasse 1, 39106 Magdeburg, Germany
    Proc Natl Acad Sci U S A 104:19175-80. 2007
    ..The presented methods will be helpful in modeling and analyzing other complex reaction networks...