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Georgios Fengos

Showing results (1-10 of 14) with videos related to

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Methods in Molecular Biology (Clifton, N.J.)|January 31, 2013
Predictive models for cellular signaling networksDagmar Iber, Georgios Fengos
Scientific Reports|September 27, 2013
Prediction stability in a data-based, mechanistic model of σF regulation during sporulation in Bacillus subtilisGeorgios Fengos, Dagmar Iber
Plos One|November 24, 2011
A computational analysis of the dynamic roles of talin, Dok1, and PIPKI for integrin activationFlorian Geier, Georgios Fengos, Dagmar Iber
BMC Bioinformatics|March 21, 2021
The effects of model complexity and size on metabolic flux distribution and control: case study in Escherichia coliTuure Hameri, Georgios Fengos, Vassily Hatzimanikatis
Methods in Molecular Biology (Clifton, N.J.)|January 31, 2013
Analyzing and constraining signaling networks: parameter estimation for the userFlorian Geier, Georgios Fengos, Federico Felizzi, et al.
BMC Systems Biology|November 5, 2011
Plasticity of TGF-β signalingGeraldine Cellière, Georgios Fengos, Marianne Hervé, et al.
Current Opinion in Biotechnology|September 7, 2015
Rites of passage: requirements and standards for building kinetic models of metabolic phenotypesLjubisa Miskovic, Milenko Tokic, Georgios Fengos, et al.
Plos Computational Biology|July 21, 2017
redGEM: Systematic reduction and analysis of genome-scale metabolic reconstructions for development of consistent core metabolic modelsMeric Ataman, Daniel F Hernandez Gardiol, Georgios Fengos, et al.
Metabolic Engineering|November 21, 2018
Kinetic models of metabolism that consider alternative steady-state solutions of intracellular fluxes and concentrationsTuure Hameri, Georgios Fengos, Meric Ataman, et al.
Bioinformatics (Oxford, England)|December 19, 2018
pyTFA and matTFA: a Python package and a Matlab toolbox for Thermodynamics-based Flux AnalysisPierre Salvy, Georgios Fengos, Meric Ataman, et al.
Pageof 2

Showing results (1-10 of 14) with videos related to

Sort By:
Pageof 2
Methods in Molecular Biology (Clifton, N.J.)|January 31, 2013
Predictive models for cellular signaling networksDagmar Iber, Georgios Fengos
Scientific Reports|September 27, 2013
Prediction stability in a data-based, mechanistic model of σF regulation during sporulation in Bacillus subtilisGeorgios Fengos, Dagmar Iber
Plos One|November 24, 2011
A computational analysis of the dynamic roles of talin, Dok1, and PIPKI for integrin activationFlorian Geier, Georgios Fengos, Dagmar Iber
BMC Bioinformatics|March 21, 2021
The effects of model complexity and size on metabolic flux distribution and control: case study in Escherichia coliTuure Hameri, Georgios Fengos, Vassily Hatzimanikatis
Methods in Molecular Biology (Clifton, N.J.)|January 31, 2013
Analyzing and constraining signaling networks: parameter estimation for the userFlorian Geier, Georgios Fengos, Federico Felizzi, et al.
BMC Systems Biology|November 5, 2011
Plasticity of TGF-β signalingGeraldine Cellière, Georgios Fengos, Marianne Hervé, et al.
Current Opinion in Biotechnology|September 7, 2015
Rites of passage: requirements and standards for building kinetic models of metabolic phenotypesLjubisa Miskovic, Milenko Tokic, Georgios Fengos, et al.
Plos Computational Biology|July 21, 2017
redGEM: Systematic reduction and analysis of genome-scale metabolic reconstructions for development of consistent core metabolic modelsMeric Ataman, Daniel F Hernandez Gardiol, Georgios Fengos, et al.
Metabolic Engineering|November 21, 2018
Kinetic models of metabolism that consider alternative steady-state solutions of intracellular fluxes and concentrationsTuure Hameri, Georgios Fengos, Meric Ataman, et al.
Bioinformatics (Oxford, England)|December 19, 2018
pyTFA and matTFA: a Python package and a Matlab toolbox for Thermodynamics-based Flux AnalysisPierre Salvy, Georgios Fengos, Meric Ataman, et al.
Pageof 2