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.
Original language | English |
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Title of host publication | SMART BIOMEDICAL AND PHYSIOLOGICAL SENSOR TECHNOLOGY XIV |
Publisher | SPIE-INT SOC OPTICAL ENGINEERING |
Number of pages | 8 |
ISBN (Print) | 9781510609341 |
DOIs | |
Publication status | Published - 2017 |
Event | Conference on Smart Biomedical and Physiological Sensor Technology XIV: At SPIE Commercial + Scientific Sensing and Imaging - Anaheim, United States Duration: 9 Apr 2017 → 10 Apr 2017 https://www.proceedings.com/spie10216.html |
Publication series
Series | Proceedings of SPIE |
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Volume | 10216 |
ISSN | 0277-786X |
Conference
Conference | Conference on Smart Biomedical and Physiological Sensor Technology XIV |
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Country/Territory | United States |
City | Anaheim |
Period | 9/04/17 → 10/04/17 |
Internet address |
Keywords
- Graph theory
- nonlinear dynamics
- dynamic graph
- pathway analysis and control
- glioma cancer stem cells