DocumentCode
88041
Title
Drug-Domain Interaction Networks in Myocardial Infarction
Author
Haiying Wang ; Huiru Zheng ; Azuaje, Francisco ; Xing-Ming Zhao
Author_Institution
Comput. Sci. Res. Inst., Univ. of Ulster, Newtownabbey, Jordan
Volume
12
Issue
3
fYear
2013
fDate
Sept. 2013
Firstpage
182
Lastpage
188
Abstract
It has been well recognized that the pace of the development of new drugs and therapeutic interventions lags far behind biological knowledge discovery. Network-based approaches have emerged as a promising alternative to accelerate the discovery of new safe and effective drugs. Based on the integration of several biological resources including two recently published datasets i.e., Drug-target interactions in myocardial infarction (My-DTome) and drug-domain interaction network, this paper reports the association between drugs and protein domains in the context of myocardial infarction (MI). A MI drug-domain interaction network, My-DDome, was firstly constructed, followed by topological analysis and functional characterization of the network. The results show that My-DDome has a very clear modular structure, where drugs interacting with the same domain(s) within each module tend to have similar therapeutic effects. Moreover it has been found that drugs acting on blood and blood forming organs (ATC code B) and sensory organs (ATC code S) are significantly enriched in My-DDome , indicating that by incorporating protein domain information into My-DTome, more detailed insights into the interplay between drugs, their known targets, and seemingly unrelated proteins can be revealed.
Keywords
bioinformatics; biological organs; cardiovascular system; drugs; medical computing; molecular biophysics; patient treatment; proteins; ATC code B; ATC code S; MI drug-domain interaction network; My-DDome; My-DTome; biological knowledge discovery; biological resource integration; blood forming organ; drug development; drug-target interaction; effective drug; modular structure; myocardial infarction; network functional characterization; network-based approach; protein domain information; sensory organ; therapeutic intervention; topological analysis; Blood; Databases; Drugs; Myocardium; Proteins; Semantics; Drug-domain interactions; myocardial infarction; network-based approaches; Cluster Analysis; Computational Biology; Data Mining; Humans; Myocardial Infarction; Pharmaceutical Preparations; Protein Structure, Tertiary; Proteins;
fLanguage
English
Journal_Title
NanoBioscience, IEEE Transactions on
Publisher
ieee
ISSN
1536-1241
Type
jour
DOI
10.1109/TNB.2013.2263556
Filename
6582675
Link To Document