Identification of potential drug targets based on a computational biology algorithm for venous thromboembolism

  • Authors:
    • Ruiqiang Xie
    • Lei Li
    • Lina Chen
    • Wan Li
    • Binbin Chen
    • Jing Jiang
    • Hao Huang
    • Yiran Li
    • Yuehan He
    • Junjie Lv
    • Weiming He
  • View Affiliations

  • Published online on: December 14, 2016     https://doi.org/10.3892/ijmm.2016.2829
  • Pages: 463-471
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Abstract

Venous thromboembolism (VTE) is a common, fatal and frequently recurrent disease. Changes in the activity of different coagulation factors serve as a pathophysiological basis for the recurrent risk of VTE. Systems biology approaches provide a better understanding of the pathological mechanisms responsible for recurrent VTE. In this study, a novel computational method was presented to identify the recurrent risk modules (RRMs) based on the integration of expression profiles and human signaling network, which hold promise for achieving new and deeper insights into the mechanisms responsible for VTE. The results revealed that the RRMs had good classification performance to discriminate patients with recurrent VTE. The functional annotation analysis demonstrated that the RRMs played a crucial role in the pathogenesis of VTE. Furthermore, a variety of approved drug targets in the RRM M5 were related to VTE. Thus, the M5 may be applied to select potential drug targets for combination therapy and the extended treatment of VTE.
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February-2017
Volume 39 Issue 2

Print ISSN: 1107-3756
Online ISSN:1791-244X

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Copy and paste a formatted citation
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Spandidos Publications style
Xie R, Li L, Chen L, Li W, Chen B, Jiang J, Huang H, Li Y, He Y, Lv J, Lv J, et al: Identification of potential drug targets based on a computational biology algorithm for venous thromboembolism. Int J Mol Med 39: 463-471, 2017
APA
Xie, R., Li, L., Chen, L., Li, W., Chen, B., Jiang, J. ... He, W. (2017). Identification of potential drug targets based on a computational biology algorithm for venous thromboembolism. International Journal of Molecular Medicine, 39, 463-471. https://doi.org/10.3892/ijmm.2016.2829
MLA
Xie, R., Li, L., Chen, L., Li, W., Chen, B., Jiang, J., Huang, H., Li, Y., He, Y., Lv, J., He, W."Identification of potential drug targets based on a computational biology algorithm for venous thromboembolism". International Journal of Molecular Medicine 39.2 (2017): 463-471.
Chicago
Xie, R., Li, L., Chen, L., Li, W., Chen, B., Jiang, J., Huang, H., Li, Y., He, Y., Lv, J., He, W."Identification of potential drug targets based on a computational biology algorithm for venous thromboembolism". International Journal of Molecular Medicine 39, no. 2 (2017): 463-471. https://doi.org/10.3892/ijmm.2016.2829