Identification of critical molecules via fault diagnosis engineering
Document Type
Conference Proceeding
Publication Date
1-1-2009
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. ©2009 IEEE.
Identifier
77951014094 (Scopus)
ISBN
[9781424432967]
Publication Title
Proceedings of the 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society Engineering the Future of Biomedicine Embc 2009
External Full Text Location
https://doi.org/10.1109/IEMBS.2009.5332823
PubMed ID
19963868
First Page
4898
Last Page
4901
Recommended Citation
Abdi, Ali; Tahoori, Mehdi B.; and Emamian, Effat S., "Identification of critical molecules via fault diagnosis engineering" (2009). Faculty Publications. 12314.
https://digitalcommons.njit.edu/fac_pubs/12314
