Boolean ErbB network reconstructions and perturbation simulations reveal individual drug response in different breast cancer cell lines-Reference-Cited by-同舟云学术

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Boolean ErbB network reconstructions and perturbation simulations reveal individual drug response in different breast cancer cell lines

Published:2014-06-25 Issue:1 Volume:8 Page:
ISSN:1752-0509
Container-title:BMC Systems Biology
language:en
Short-container-title:BMC Syst Biol

Author:

der Heyde Silvia Von,Bender Christian,Henjes Frauke,Sonntag Johanna,Korf Ulrike,Beißbarth Tim

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,Computer Science Applications,Molecular Biology,Modeling and Simulation,Structural Biology

Link

https://link.springer.com/content/pdf/10.1186/1752-0509-8-75.pdf

Reference71 articles.

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2. Park Y, Bader JS:How networks change with time. Bioinformatics (Oxford, England). 2012, 28 (12): 40-48. PMID: 22689777,

3. Roukos DH:Trastuzumab and beyond: sequencing cancer genomes and predicting molecular networks. Pharmacogenom J. 2011, 11 (2): 81-92. PMID: 20975737,

4. Oda K, Matsuoka Y, Funahashi A, Kitano H:A comprehensive pathway map of epidermal growth factor receptor signaling. Mol Syst Biol. 2005, 1: 2005.0010-PMID: 16729045,

5. Feiglin A, Hacohen A, Sarusi A, Fisher J, Unger R, Ofran Y:Static network structure can be used to model the phenotypic effects of perturbations in regulatory networks. Bioinformatics (Oxford, England). 2012, 28 (21): 2811-2818. PMID: 22923292,

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