ColoNET: A Systems Biology Approach for Integrating Molecular Diagnostics and Targeted Therapy in Colorectal Cancer
S. Bulik, S. Grimbs, C. Huthmacher, J. Selbig and H.-G. Holzhütter. Kinetic hybrid models composed of mechanistic and simplified enzymatic rate laws – a promising method for speeding up the kinetic modelling of complex metabolic networks. FEBS Journal, Volume 276 Issue 2, Pages 410 - 424, 2009.
Z. Nikoloski, S. Grimbs, J. Selbig and O. Ebenhöh. Hardness and Approximability of the Inverse Scope Problem. Lecture Notes in Computer Science, 5251/2008
Z. Nikoloski, S. Grimbs, P. May, and J. Selbig. Metabolic Networks are NP-hard to reconstruct. J. Theo. Biol., Jul 2008. [Epub ahead of print] PMID. 18682254.
S. Grimbs, J. Selbig, S. Bulik, H.-G. Holzhütter and R. Steuer. The stability and robustness of metabolic states: identifying stabilizing sites in metabolic networks. Molecular Systems Biology 3:146, Nov 2007.
Diploma in Mathematics, TU Darmstadt , 2005
Diploma in Computer Science, TU Darmstadt , 2006
PhD thesis in Bioinformatics, University of Potsdam, 2009 ('Towards structure and dynamics of metabolic networks')
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Max-Planck-Institut für Molekulare Pflanzenphysiologie
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