MEMOTE for standardized genome-scale metabolic model testing C Lieven, ME Beber, BG Olivier, FT Bergmann, M Ataman, P Babaei, ... Nature biotechnology 38 (3), 272-276, 2020 | 419 | 2020 |
pyTFA and matTFA: a Python package and a Matlab toolbox for Thermodynamics-based Flux Analysis P Salvy, G Fengos, M Ataman, T Pathier, KC Soh, V Hatzimanikatis Bioinformatics 35 (1), 167-169, 2019 | 104 | 2019 |
redGEM: Systematic reduction and analysis of genome-scale metabolic reconstructions for development of consistent core metabolic models M Ataman, DF Hernandez Gardiol, G Fengos, V Hatzimanikatis PLoS computational biology 13 (7), e1005444, 2017 | 84 | 2017 |
Memote: A community driven effort towards a standardized genome-scale metabolic model test suite C Lieven, ME Beber, BG Olivier, FT Bergmann, M Ataman, P Babaei, ... BioRxiv, 350991, 2018 | 59 | 2018 |
Rites of passage: requirements and standards for building kinetic models of metabolic phenotypes L Miskovic, M Tokic, G Fengos, V Hatzimanikatis Current opinion in biotechnology 36, 146-153, 2015 | 50 | 2015 |
Kinetic models of metabolism that consider alternative steady-state solutions of intracellular fluxes and concentrations T Hameri, G Fengos, M Ataman, L Miskovic, V Hatzimanikatis Metabolic engineering 52, 29-41, 2019 | 42 | 2019 |
The plasticity of TGF-βsignaling G Cellière, G Fengos, M Hervé, D Iber BMC systems biology 5, 1-13, 2011 | 34 | 2011 |
Analyzing and constraining signaling networks: parameter estimation for the user F Geier, G Fengos, F Felizzi, D Iber Computational modeling of signaling networks, 23-39, 2012 | 23 | 2012 |
A computational analysis of the dynamic roles of talin, Dok1, and PIPKI for integrin activation F Geier, G Fengos, D Iber PLoS One 6 (11), e24808, 2011 | 18 | 2011 |
Symbolic Kinetic Models in Python (SKiMpy): Intuitive modeling of large-scale biological kinetic models DR Weilandt, P Salvy, M Masid, G Fengos, R Denhardt-Erikson, ... Bioinformatics 39 (1), btac787, 2023 | 11 | 2023 |
Memote: A Community-Driven Effort towards a Standardized Genome-Scale Metabolic Model Test Suite bioRxiv 350991 C Lieven, ME Beber, BG Olivier, FT Bergmann, M Ataman, P Babaei, ... | 5 | 2018 |
Spatial proteomic and phospho-proteomic organization in three prototypical cell migration modes G Fengos, A Schmidt, K Martin, E Fluri, R Aebersold, D Iber, O Pertz Proteome science 12, 1-18, 2014 | 5 | 2014 |
Predictive models for cellular signaling networks D Iber, G Fengos Computational Modeling of Signaling Networks, 1-22, 2012 | 5 | 2012 |
The effects of model complexity and size on metabolic flux distribution and control: case study in Escherichia coli T Hameri, G Fengos, V Hatzimanikatis Bmc Bioinformatics 22, 1-25, 2021 | 4 | 2021 |
Prediction stability in a data-based, mechanistic model of σF regulation during sporulation in Bacillus subtilis G Fengos, D Iber Scientific reports 3 (1), 2755, 2013 | 4 | 2013 |
The effects of model complexity and size on metabolic flux distribution and control. Case study in E. coli T Hameri, G Fengos, V Hatzimanikatis bioRxiv, 666859, 2019 | 3 | 2019 |
Analysis and design of metabolic engineering and synthetic biology strategies using large scale dynamic models of metabolism G Fengos, L Miskovic, V Hatzimanikatis Metabolic Engineering 11, 2016 | 1 | 2016 |
The effects of model complexity and size on metabolic flux distribution and control. Case study inE. coli T Hameri, G Fengos, V Hatzimanikatis | | 2019 |
Toward the identification of new cancer therapy targets using metabolic modeling in a human genome scale M Masid, M Ataman, G Fengos, V Hatzimanikatis Biochemical and Molecular Engineering XX, 2017 | | 2017 |
Generation and Analysis of Large-Scale Dynamic Non-Linear Models of Metabolism G Fengos, L Miskovic, V Hatzimanikatis Biochemical and Molecular Engineering XX, 2017 | | 2017 |