DocumentCode :
2060824
Title :
A Systems Biology Approach for Detecting Toxicity-Related Hotspots inside Protein Interaction Networks
Author :
Desai, Kaushal ; Brott, David ; Hu, Xiaohua ; Christianson, Anastasia
Author_Institution :
Coll. Inf. Sci. & Tech., Drexel Univ., Philadelphia, PA, USA
fYear :
2011
fDate :
26-29 July 2011
Firstpage :
53
Lastpage :
60
Abstract :
Drug-induced Neutropenia can be fatal when severe and therefore requires an improved understanding of its mechanism(s) of toxicity. Systems biology provides an opportunity to understand adverse events after drug administration using analysis of biomolecular networks. In this study, a human protein interaction network was analyzed to identify proteins that are most central to topological paths connecting a drug´s target proteins to hematopoiesis-related proteins. For a set of 19 non-immune neutropenia inducing drugs, we found 270 proteins involved in putative signaling paths of which 9 proteins were found to be common across all drugs evaluated and all 9 proteins showed relevance to neutrophil biology. This study provides an understanding of downstream effects for drugs known to induce non-immune neutropenia. We believe that the algorithm developed here can be applied towards analysis of any toxicity where the drugs and the physiological processes involved in the toxic mechanism are known.
Keywords :
drugs; molecular biophysics; physiology; proteins; toxicology; biomolecular networks; downstream effects; drug administration; drug-induced neutropenia; hematopoiesis-related proteins; human protein; neutrophil biology; non-immune neutropenia inducing drugs; physiological processes; protein interaction networks; putative signaling paths; systems biology approach; toxic mechanism; toxicity-related hotspots; Databases; Drugs; Image edge detection; Inhibitors; Proteins; Reliability; color coding; hotspots; neutropenia; protein Interaction networks; systems biology; toxicity;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Healthcare Informatics, Imaging and Systems Biology (HISB), 2011 First IEEE International Conference on
Conference_Location :
San Jose, CA
Print_ISBN :
978-1-4577-0325-6
Electronic_ISBN :
978-0-7695-4407-6
Type :
conf
DOI :
10.1109/HISB.2011.61
Filename :
6061454
Link To Document :
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