• 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