Title :
Identification of critical molecules via fault diagnosis engineering
Author :
Abdi, Ali ; Tahoori, Mehdi B. ; Emamian, Effat S.
Author_Institution :
New Jersey Inst. of Technol., Newark, NJ, USA
Abstract :
Systems biology envisions that the application of complex system engineering approaches to cell signaling molecular networks can lead to novel understandings of complex human disorders. In this paper we show that by developing biologically-driven vulnerability assessment methods, the vulnerability of complex signaling networks to the dysfunction of each molecule can be determined. We have analyzed signaling networks that regulate mitosis and the activity of the transcription factor CREB. Our results indicate that biologically-relevant critical components of intracellular molecular networks can be identified using the proposed systems biology/fault diagnosis engineering technique. The application of this approach can improve our physiological understanding of the functionality of biological systems, can be used as a tool to identify novel genes associated with complex human disorders, and ultimately, has the potential to find the most prominent targets for drug discovery.
Keywords :
biology computing; cellular biophysics; genetics; medical disorders; molecular biophysics; CREB; biologically-driven vulnerability assessment; cell signaling molecular networks; complex human disorders; complex system engineering; critical molecules; drug discovery; fault diagnosis engineering; genes; intracellular molecular networks; mitosis; systems biology; transcription factor; Cyclic AMP Response Element-Binding Protein; Humans; Mitosis; Neural Networks (Computer); Signal Transduction; Systems Biology;
Conference_Titel :
Engineering in Medicine and Biology Society, 2009. EMBC 2009. Annual International Conference of the IEEE
Conference_Location :
Minneapolis, MN
Print_ISBN :
978-1-4244-3296-7
Electronic_ISBN :
1557-170X
DOI :
10.1109/IEMBS.2009.5332823