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Andreas Kremling

dblp:29/1891 · DBLP profile ↗
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3ranked-venue papers
1as first author
0since 2021 · last 2008
0000-0001-9533-6786ORCID · verified

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

Applied, interdisciplinary, general and emerging computing · 3 · 1 first-author

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
3 papers
Bioinformatics and computational biology · 100%

Topics — the 6 heaviest of 6, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology
systems biology
0.232008
A feed-forward loop guarantees robust behavior in Escherichia coli carbohydrate uptake · Bioinform. 2008
The systems biology markup language (SBML): a medium for representation and exchange of biochemical network models · Bioinform. 2003
Modular Modeling of Cellular Systems with ProMoT/Diva · Bioinform. 2003
Bioinformatics and computational biology › biological network › network biology
feed-forward loop
0.112008
A feed-forward loop guarantees robust behavior in Escherichia coli carbohydrate uptake · Bioinform. 2008
Bioinformatics and computational biology › systems biology › biochemical reaction network modeling
biochemical network simulation
0.012003
Modular Modeling of Cellular Systems with ProMoT/Diva · Bioinform. 2003
Bioinformatics and computational biology › systems biology › computational cell biology
cellular modeling
0.012003
Modular Modeling of Cellular Systems with ProMoT/Diva · Bioinform. 2003
Bioinformatics and computational biology › systems biology
model exchange format
0.012003
The systems biology markup language (SBML): a medium for representation and exchange of biochemical network models · Bioinform. 2003
Bioinformatics and computational biology › systems biology
parameter estimation
0.012008
A feed-forward loop guarantees robust behavior in Escherichia coli carbohydrate uptake · Bioinform. 2008

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

robustness analysis · 0.1ordinary differential equation modeling · 0.1parameter identification · 0.0numerical simulation · 0.0XML · 0.0
YearPublicationVenuePosition
2008 A feed-forward loop guarantees robust behavior in Escherichia coli carbohydrate uptake
abstract
MOTIVATION: In Escherichia coli, the phosphoenolpyruvate: carbohydrate phosphotransferase system acts like a sensory element which is able to measure the flux through glycolysis. Since the output of the sensor, the phosphorylated form of protein EIIA, is connected to the activity of the global transcription factor Crp, the kinetic and structural properties of the system are important for the understanding of the overall cellular behavior. RESULTS: A family of mathematical models is presented, varying with respect to their degree of complexity (number of reactions that are taken into account, number of parameters) that show a structurally and quantitatively robust behavior. The models describe a set of experimental data that relates the output of the sensor to the specific growth rate. A central element that is responsible for the structural robustness is a feed-forward loop in the glycolysis, namely the activation of the pyruvate kinase reaction by a metabolite of the upper part of the glycolysis. The robustness is shown for variations of the measured data as well as for variations of the parameters. AVAILABILITY: MATLAB files for model simulations are available on http://www.mpi-magdeburg.mpg.de/people/kre/robust/ A short description of the files provided on this site can be found in the Supporting information.
Andreas Kremling, Katja Bettenbrock, Ernst Dieter Gilles
Bioinform.1
2003 Modular Modeling of Cellular Systems with ProMoT/Diva
abstract
MOTIVATION: Need for software to setup and analyze complex mathematical models for cellular systems in a modular way, that also integrates the experimental environment of the cells. RESULTS: A computer framework is described which allows the building of modularly structured models using an abstract, modular and general modeling methodology. With this methodology, reusable modeling entities are introduced which lead to the development of a modeling library within the modeling tool ProMot. The simulation environment Diva is used for numerical analysis and parameter identification of the models. The simulation environment provides a number of tools and algorithms to simulate and analyze complex biochemical networks. The described tools are the first steps towards an integrated computer-based modeling, simulation and visualization environment Availability: Available on request to the authors. The software itself is free for scientific purposes but requires commercial libraries. SUPPLEMENTARY INFORMATION: http://www.mpi-magdeburg.mpg.de/projects/promot
Martin Ginkel, Andreas Kremling, Torsten Nutsch, R. Rehner, Ernst Dieter Gilles
Bioinform.2
2003 The systems biology markup language (SBML): a medium for representation and exchange of biochemical network models
abstract
MOTIVATION: Molecular biotechnology now makes it possible to build elaborate systems models, but the systems biology community needs information standards if models are to be shared, evaluated and developed cooperatively. RESULTS: We summarize the Systems Biology Markup Language (SBML) Level 1, a free, open, XML-based format for representing biochemical reaction networks. SBML is a software-independent language for describing models common to research in many areas of computational biology, including cell signaling pathways, metabolic pathways, gene regulation, and others. AVAILABILITY: The specification of SBML Level 1 is freely available from http://www.sbml.org/
Michael Hucka, Andrew Finney, Herbert M. Sauro, H. Bolouri, John Doyle 0001, Hiroaki Kitano, Adam P. Arkin, Benjamin J. Bornstein, Dennis Bray, Athel Cornish-Bowden, Autumn A. Cuellar, Serge Dronov, Ernst Dieter Gilles, Martin Ginkel, Victoria Gor, Igor Goryanin, W. J. Hedley, Charlie Hodgman, Jan-Hendrik S. Hofmeyr, Peter J. Hunter, Nick S. Juty, J. L. Kasberger, Andreas Kremling, Ursula Kummer, Nicolas Le Novère, Leslie M. Loew, D. Lucio, Pedro Mendes 0001, E. Minch, Eric Mjolsness, Yoichi Nakayama, M. R. Nelson, Poul M. F. Nielsen, T. Sakurada, James C. Schaff, Bruce E. Shapiro, Thomas Simon Shimizu, Hugh D. Spence, Jörg Stelling, Koichi Takahashi, Masaru Tomita
Bioinform.23