The driving regulators of the connectivity protein network of brain malignancies Conference Paper


Authors: Tahmassebi, A.; Pinker-Domenig, K.; Wengert, G.; Lobbes, M.; Stadlbauer, A.; Wildburger, N. C.; Romero, F. J.; Morales, D. P.; Castillo, E.; Garcia, A.; Botella, G.; Meyer-Bäse, A.
Editors: Cullum, B. M.; Kiehl, D. L.; McLamore, E. S.
Title: The driving regulators of the connectivity protein network of brain malignancies
Conference Title: Smart Biomedical and Physiological Sensor Technology XIV
Abstract: An important problem in modern therapeutics at the proteomic 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 modern control concepts, such as pinning controllability and observability applied to the glioma cancer stem cells (GSCs) protein graph network with known and novel association to glioblastoma (GBM). The theoretical frameworks provides us with the minimal number of "driver nodes", which are necessary, and their location 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, to design and test novel therapeutic solutions. © 2017 SPIE.
Keywords: proteins; physiology; tumors; stem cells; disease control; biological pathways; graph theory; dynamics; diseases; pathway analysis; nonlinear dynamics; complex networks; high-throughput data; theoretical framework; dynamic graph; glioma cancer stem cells; pathway analysis and control; glioma cancers; therapeutic solutions; pinning-controllability
Journal Title Proceedings of SPIE
Volume: 10216
Conference Dates: 2017 Apr 9-10
Conference Location: Anaheim, CA
ISBN: 0277-786X
Publisher: SPIE  
Date Published: 2017-06-13
Start Page: 10216 05
Language: English
DOI: 10.1117/12.2263554
PROVIDER: scopus
DOI/URL:
Notes: Conference Paper -- Export Date: 2 August 2017 -- Source: Scopus
Altmetric
Citation Impact
BMJ Impact Analytics
MSK Authors