کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
517472 867457 2009 9 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Drug targets for tumorigenesis: Insights from structural analysis of EGFR signaling network
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر نرم افزارهای علوم کامپیوتر
پیش نمایش صفحه اول مقاله
Drug targets for tumorigenesis: Insights from structural analysis of EGFR signaling network
چکیده انگلیسی

Deciphering the complex network structure is crucial in drug target identification. This study presents a framework incorporating graph theoretic and network decomposition methods to analyze system-level properties of the comprehensive map of the epidermal growth factor receptor (EGFR) signaling, which is a good candidate model system to study the general mechanisms of signal transduction. The graph theoretic analysis of the EGFR network indicates that it has small-world characteristics with scale-free topology. The employment of network decomposition analysis enlightened the system-level properties, such as network cross-talk, specific molecules in each pathway and participation of molecules in the network. Participating in a significant fraction of the fundamental paths connecting the ligands to the phenotypes, cofactor GTP and complex Gβ/Gγ were identified as “housekeeping” molecules, through which all pathways of EGFR network are cross-talking. c-Src–Shc complex is identified as important due to its role in all fundamental paths through tumorigenesis and being specific to this phenotype. Inhibitors of this complex may be good anti-cancer agents having very little or no effect on other phenotypes.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Biomedical Informatics - Volume 42, Issue 2, April 2009, Pages 228–236
نویسندگان
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