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Engineering and Technology

D-Index
51
Citations
12439
World Ranking
3787
National Ranking
118

Overview

Steffen Klamt is affiliated with the Max Planck Institute for Dynamics of Complex Technical Systems in Germany. Their research spans multiple fields including Biochemistry, Genetics and Molecular Biology, and Engineering.

Their subfields of study include Molecular Biology, Biomedical Engineering, Control and Systems Engineering, Environmental Engineering, and Genetics. The main topics covered in their work involve Microbial Metabolic Engineering and Bioproduction, Biofuel production and bioconversion, Enzyme Catalysis and Immobilization, Gene Regulatory Network Analysis, Viral Infectious Diseases and Gene Expression in Insects, Process Optimization and Integration, and ATP Synthase and ATPases Research.

Steffen Klamt has published extensively, with notable recent papers including:

  • MEMOTE for standardized genome-scale metabolic model testing, 2020, Nature Biotechnology
  • SBML Level 3: an extensible format for the exchange and reuse of biological models, 2020, Molecular Systems Biology
  • Automatic construction of metabolic models with enzyme constraints, 2020, BMC Bioinformatics
  • An extended and generalized framework for the calculation of metabolic intervention strategies based on minimal cut sets, 2020, PLoS Computational Biology
  • Blending industrial blast furnace gas with H2 enables Acetobacterium woodii to efficiently co-utilize CO, CO2 and H2, 2020, Bioresource Technology

The frequent coauthors working with Steffen Klamt are:

  • Katja Bettenbrock
  • Sebastián Espinel-Ríos
  • Rolf Findeisen
  • Simon Boecker
  • Axel von Kamp

Steffen Klamt has a record of publications in various venues, with the most frequent publication outlets being:

  • IFAC-PapersOnLine
  • Microbial Cell Factories
  • Metabolic Engineering
  • Bioinformatics
  • Nature Biotechnology

Best Publications

  • Metabolic network structure determines key aspects of functionality and regulation

    Jörg Stelling;Steffen Klamt;Katja Bettenbrock;Stefan Schuster

  • Structural and functional analysis of cellular networks with CellNetAnalyzer

    Steffen Klamt;Julio Saez-Rodriguez;Ernst Dieter Gilles

  • Hypergraphs and cellular networks.

    Steffen Klamt;Utz-Uwe Haus;Fabian J. Theis

  • MEMOTE for standardized genome-scale metabolic model testing

    Christian Lieven;Moritz Emanuel Beber;Brett G. Olivier;Frank T. Bergmann

  • A methodology for the structural and functional analysis of signaling and regulatory networks

    Steffen Klamt;Julio Saez-Rodriguez;Jonathan A. Lindquist;Luca Simeoni

  • Comparison of network-based pathway analysis methods

    Jason A. Papin;Joerg Stelling;Nathan D. Price;Steffen Klamt

  • A Logical Model Provides Insights into T Cell Receptor Signaling

    Julio Saez-Rodriguez;Luca Simeoni;Jonathan A. Lindquist;Rebecca Hemenway

  • Discrete logic modelling as a means to link protein signalling networks with functional analysis of mammalian signal transduction

    Julio Saez-Rodriguez;Julio Saez-Rodriguez;Leonidas G Alexopoulos;Leonidas G Alexopoulos;Jonathan Epperlein;Regina Samaga

  • Two approaches for metabolic pathway analysis

    Steffen Klamt;Jörg Stelling

  • Minimal cut sets in biochemical reaction networks

    Steffen Klamt;Ernst Dieter Gilles

  • Computation of elementary modes : a unifying framework and the new binary approach

    Julien Gagneur;Steffen Klamt

  • Combinatorial complexity of pathway analysis in metabolic networks.

    Steffen Klamt;Jörg Stelling

  • Transforming Boolean models to continuous models: methodology and application to T-cell receptor signaling

    Dominik M Wittmann;Jan Krumsiek;Julio Saez-Rodriguez;Julio Saez-Rodriguez;Douglas A Lauffenburger

  • FluxAnalyzer: exploring structure, pathways, and flux distributions in metabolic networks on interactive flux maps.

    Steffen Klamt;Jörg Stelling;Martin Ginkel;Ernst Dieter Gilles

  • SBML Level 3: an extensible format for the exchange and reuse of biological models

    Sarah M. Keating;Sarah M. Keating;Dagmar Waltemath;Matthias König;Fengkai Zhang

  • GSMN-TB: a web-based genome-scale network model of Mycobacterium tuberculosis metabolism

    Dany J V Beste;Tracy Hooper;Graham Stewart;Bhushan Bonde

  • The logic of EGFR/ErbB signaling: theoretical properties and analysis of high-throughput data

    Regina Samaga;Julio Saez-Rodriguez;Leonidas G. Alexopoulos;Leonidas G. Alexopoulos;Leonidas G. Alexopoulos;Peter Karl Sorger;Peter Karl Sorger

  • SBML qualitative models: a model representation format and infrastructure to foster interactions between qualitative modelling formalisms and tools.

    Claudine Chaouiya;Duncan Bérenguier;Sarah M. Keating;Aurélien Naldi

  • Growth-coupled overproduction is feasible for almost all metabolites in five major production organisms.

    Axel von Kamp;Steffen Klamt

  • Model-Based metabolic engineering enables high yield itaconic acid production by Escherichia coli

    Björn-Johannes Harder;Katja Bettenbrock;Steffen Klamt

Frequent Co-Authors

Udo Reichl
Udo Reichl Otto-von-Guericke University Magdeburg
Julio Saez-Rodriguez
Julio Saez-Rodriguez Heidelberg University
Stefan Schuster
Stefan Schuster Friedrich Schiller University Jena
Radhakrishnan Mahadevan
Radhakrishnan Mahadevan University of Toronto
Ernst Dieter Gilles
Ernst Dieter Gilles Max Planck Society
Kai Sundmacher
Kai Sundmacher Max Planck Institute for Dynamics of Complex Technical Systems
Bernhard O. Palsson
Bernhard O. Palsson University of California, San Diego
Jens Nielsen
Jens Nielsen Chalmers University of Technology
Sang Yup Lee
Sang Yup Lee Korea Advanced Institute of Science and Technology
Hans V. Westerhoff
Hans V. Westerhoff Vrije Universiteit Amsterdam

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