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Items: 10

1.

pyTFA and matTFA: a Python package and a Matlab toolbox for Thermodynamics-based Flux Analysis.

Salvy P, Fengos G, Ataman M, Pathier T, Soh KC, Hatzimanikatis V.

Bioinformatics. 2019 Jan 1;35(1):167-169. doi: 10.1093/bioinformatics/bty499.

2.

Kinetic models of metabolism that consider alternative steady-state solutions of intracellular fluxes and concentrations.

Hameri T, Fengos G, Ataman M, Miskovic L, Hatzimanikatis V.

Metab Eng. 2019 Mar;52:29-41. doi: 10.1016/j.ymben.2018.10.005. Epub 2018 Oct 26.

3.

redGEM: Systematic reduction and analysis of genome-scale metabolic reconstructions for development of consistent core metabolic models.

Ataman M, Hernandez Gardiol DF, Fengos G, Hatzimanikatis V.

PLoS Comput Biol. 2017 Jul 20;13(7):e1005444. doi: 10.1371/journal.pcbi.1005444. eCollection 2017 Jul.

4.

Rites of passage: requirements and standards for building kinetic models of metabolic phenotypes.

Miskovic L, Tokic M, Fengos G, Hatzimanikatis V.

Curr Opin Biotechnol. 2015 Dec;36:146-53. doi: 10.1016/j.copbio.2015.08.019. Epub 2015 Sep 2. Review.

5.

Spatial proteomic and phospho-proteomic organization in three prototypical cell migration modes.

Fengos G, Schmidt A, Martin K, Fluri E, Aebersold R, Iber D, Pertz O.

Proteome Sci. 2014 May 1;12:23. doi: 10.1186/1477-5956-12-23. eCollection 2014.

6.
7.

Analyzing and constraining signaling networks: parameter estimation for the user.

Geier F, Fengos G, Felizzi F, Iber D.

Methods Mol Biol. 2012;880:23-39. doi: 10.1007/978-1-61779-833-7_2. Review.

PMID:
23361979
8.

Predictive models for cellular signaling networks.

Iber D, Fengos G.

Methods Mol Biol. 2012;880:1-22. doi: 10.1007/978-1-61779-833-7_1. Review.

PMID:
23361978
9.

A computational analysis of the dynamic roles of talin, Dok1, and PIPKI for integrin activation.

Geier F, Fengos G, Iber D.

PLoS One. 2011;6(11):e24808. doi: 10.1371/journal.pone.0024808. Epub 2011 Nov 16.

10.

Plasticity of TGF-β signaling.

Cellière G, Fengos G, Hervé M, Iber D.

BMC Syst Biol. 2011 Nov 3;5:184. doi: 10.1186/1752-0509-5-184.

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