Indexed keywords
EPIDERMAL GROWTH FACTOR RECEPTOR;
EPIDERMAL GROWTH FACTOR RECEPTOR 2;
ALGORITHM;
ARTICLE;
BREAST TUMOR;
COMPUTER PROGRAM;
FEMALE;
HUMAN;
METABOLISM;
SIGNAL TRANSDUCTION;
ALGORITHMS;
BREAST NEOPLASMS;
FEMALE;
HUMANS;
RECEPTOR, EPIDERMAL GROWTH FACTOR;
RECEPTOR, ERBB-2;
SIGNAL TRANSDUCTION;
SOFTWARE;
1
0041667015
Hypergraphs
North-Holland Mathematical Library, Amsterdam, North-Holland
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2
77950825394
Mathematical modelling of cell-fate decision in response to death receptor engagement
Calzone, L. et al. (2010) Mathematical modelling of cell-fate decision in response to death receptor engagement. PLoS Comput. Biol., 6, e1000702.
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Systems biology and combination therapy in the quest for clinical efficacy
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Fitzgerald, J.B.1
4
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Computing complex metabolic intervention strategies using constrained minimal cut sets
Hä dicke, O. and Klamt, S. (2011) Computing complex metabolic intervention strategies using constrained minimal cut sets. Metab. Eng., 13, 204-213.
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Hädicke, O.1
Klamt, S.2
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Computing knock-out strategies in metabolic networks
Haus, U.U. et al. (2008) Computing knock-out strategies in metabolic networks. J. Comput Biol, 15, 259-268.
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Haus, U.U.1
6
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A methodology for the structural and functional analysis of signaling and regulatory networks
Klamt, S. et al. (2006) A methodology for the structural and functional analysis of signaling and regulatory networks. BMC Bioinformatics, 7, 56.
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Klamt, S.1
7
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The Logic of EGFR/ErbB signaling: Theoretical properties and analysis of high-throughput data
Samaga, R. et al. (2009) The Logic of EGFR/ErbB signaling: theoretical properties and analysis of high-throughput data. PLoS Comput. Biol., 5, e1000438.
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PLoS Comput. Biol , vol.5
Samaga, R.1
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Computing combinatorial intervention strategies and failure modes in signaling networks
Samaga, R. et al. (2010) Computing combinatorial intervention strategies and failure modes in signaling networks. J. Comput. Biol., 17, 39-53.
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Samaga, R.1
9
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Cytoscape: A software environment for integrated models of biomolecular interaction networks
Shannon, P. et al. (2003) Cytoscape: a software environment for integrated models of biomolecular interaction networks. Genome Res., 13, 2498-2504.
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Shannon, P.1
10
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BiNoM: A Cytoscape plugin for manipulating and analyzing biological networks
Zinovyev, A. et al. (2008) BiNoM: a Cytoscape plugin for manipulating and analyzing biological networks. Bioinformatics, 24, 876-877.
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Zinovyev, A.1
