Dynamical complex network theory applied to the therapeutics of brain malignancies Conference Paper


Authors: Meyer-Bäse, A.; Fratte, D.; Barbu, A.; Pinker-Domenig, K.
Title: Dynamical complex network theory applied to the therapeutics of brain malignancies
Conference Title: Independent Component Analyses, Compressive Sampling, Large Data Analyses (LDA), Neural Networks, Biosystems, and Nanoengineering XIII
Abstract: An important problem in modern therapeutics at the metabolomic, transcriptomic or phosphoproteomic level remains to identify therapeutic targets in a plentitude of high-throughput data from experiments relevant to a variety of diseases. This paper presents the application of novel graph algorithms and modern control solutions applied to the graph networks resulting from specific experiments to discover disease-related pathways and drug targets in glioma cancer stem cells (GSCs). The theoretical frameworks provides us with the minimal number of " driver nodes" necessary to determine the full control over the obtained graph network in order to provide a change in the network's dynamics from an initial state (disease) to a desired state (non-disease). The achieved results will provide biochemists with techniques to identify more metabolic regions and biological pathways for complex diseases, and design and test novel therapeutic solutions. © 2015 COPYRIGHT SPIE.
Keywords: tumors; stem cells; disease control; biological pathways; graph theory; biological systems; therapeutic targets; dynamics; diseases; pathway analysis; nonlinear dynamics; complex networks; compressed sensing; high-throughput data; theoretical framework; dynamic graph; glioma cancer stem cells; pathway analysis and control; glioma cancers; therapeutic solutions
Journal Title Proceedings of SPIE
Volume: 9496
Conference Dates: 2015 Apr 23-25
Conference Location: Baltimore, MD
ISBN: 0277-786X
Publisher: SPIE  
Date Published: 2015-05-20
Start Page: 949608
Language: English
DOI: 10.1117/12.2181816
PROVIDER: scopus
DOI/URL:
Notes: Proc SPIE Int Soc Opt Eng -- Conference code: 113181 -- Export Date: 3 February 2016 -- Conference Paper -- CODEN: PSISD -- The Society of Photo-Optical Instrumentation Engineers (SPIE) -- 23 April 2015 through 24 April 2015 -- Source: Scopus
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