BowTieBuilder: modeling signal transduction pathways (2009)
Supper, Jochen, Spangenberg, Lucía, Planatscher, Hannes, Dräger, Andreas, Schröder, Adrian, Zell, Andreas
Abstract Background Sensory proteins react to changing environmental conditions by transducing signals into the cell. These signals are integrated into core proteins that activate downstream target...
SBML2LATEX: Conversion of SBML files into human-readable reports (2009)
Dräger, Andreas, Planatscher, Hannes, Wouamba, Dieudonné Motsou, Schröder, Adrian, Hucka, Michael, Endler, Lukas, ...
The XML-based Systems Biology Markup Language (SBML) has emerged as a standard for storage, communication and interchange of models in systems biology. As a machine-readable format XML is difficult...
Dräger, Andreas, Kronfeld, Marcel, Ziller, Michael J, Supper, Jochen, Planatscher, Hannes, Magnus, Jørgen B, ...
Abstract Background To understand the dynamic behavior of cellular systems, mathematical modeling is often necessary and comprises three steps: (1) experimental measurement of participating...
SBML2LATEX: Conversion of SBML files into human-readable reports (2009)
Dräger, Andreas, Planatscher, Hannes, Motsou Wouamba, Dieudonné, Schröder, Adrian, Hucka, Michael, Endler, Lukas, ...
Summary: The XML-based Systems Biology Markup Language (SBML) has emerged as a standard for storage, communication and interchange of models in systems biology. As a machine-readable format XML is...
INFERRING GENE REGULATORY NETWORKS BY MACHINE LEARNING METHODS (2008)
Jochen Supper, Holger Fröhlich, Christian Spieth, Andreas Dräger, Andreas Zell
The ability to measure the transcriptional response after a stimulus has drawn much attention to the underlying gene regulatory networks. Several machine learning related methods, such as Bayesian...
Dräger, Andreas, Hassis, Nadine, Supper, Jochen, Schröder, Adrian, Zell, Andreas
Abstract Background The development of complex biochemical models has been facilitated through the standardization of machine-readable representations like SBML (Systems Biology Markup Language)....
INFERRING GENE REGULATORY NETWORKS BY MACHINE LEARNING METHODS (2008)
Jochen Supper, Holger Fröhlich, Christian Spieth, Andreas Dräger, Andreas Zell
The ability to measure the transcriptional response after a stimulus has drawn much attention to the underlying gene regulatory networks. Several machine learning related methods, such as Bayesian...
Corynebacterium Glutamicum, Andreas Dräger, Hannes Planatscher, Jørgen B. Magnus, Marco Oldiges, Andreas Zell
Abstract — Parameter estimation for biochemical model systems has become an important problem in systems biology. Here we focus on the metabolic subnetwork of the valine and leucine biosynthesis in...
SBMLsqueezer: A CellDesigner plug-in to generate kinetic rate equations for biochemical networks
Dräger, Andreas, Hassis, Nadine, Supper, Jochen, Schröder, Adrian, Zell, Andreas
Dräger, Andreas, Kronfeld, Marcel, Ziller, Michael J, Supper, Jochen, Planatscher, Hannes, Magnus, Jørgen B, ...
SBML2LaTEX: Conversion of SBML files into human-readable reports
Dräger, Andreas, Planatscher, Hannes, Motsou Wouamba, Dieudonné, Schröder, Adrian, Hucka, Michael, Endler, Lukas, ...
Summary: The XML-based Systems Biology Markup Language (SBML) has emerged as a standard for storage, communication and interchange of models in systems biology. As a machine-readable format XML is...