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A Graph-Based Approach for Finding the Dengue Infection Pathways in Humans Using Protein-Protein Interactions.

Lopamudra Dey1, Anirban Mukhopadhyay2

  • 1Department of Computer Science and Engineering, Heritage Institute of Technology, Kolkata, India.

Journal of Computational Biology : a Journal of Computational Molecular Cell Biology
|September 6, 2019
PubMed
Summary

Dengue virus (DENV) infection can lead to severe diseases like cancer and asthma. This study identifies key human proteins involved in DENV infection pathways, offering potential targets for new antiviral drugs.

Keywords:
denguepathwaysprotein–protein interactionquasi-bicliquequasi-clique

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Area of Science:

  • Virology
  • Computational Biology
  • Network Medicine

Background:

  • Dengue virus (DENV) is a deadly arbovirus transmitted by *Aedes aegypti*, affecting millions globally.
  • Understanding DENV's infection mechanisms and associated diseases is crucial for developing antiviral therapies.
  • Existing research highlights the significant global health burden of dengue fever.

Purpose of the Study:

  • To identify human proteins and pathways targeted by DENV that lead to various diseases.
  • To develop computational methods for predicting DENV-induced disease associations.
  • To uncover potential therapeutic targets for dengue infection.

Main Methods:

  • Utilized a quasi-clique and quasi-biclique algorithm for network analysis.
  • Examined three biological networks: dengue-human protein-protein interaction, human protein interaction, and human protein-disease association networks.
  • Employed network-based approaches to classify infection gateway proteins and disease pathways.

Main Results:

  • Predicted that DENV infection may lead to diverse diseases, including cancer, asthma, ulcerative colitis, multiple sclerosis, and premature birth.
  • Identified specific human proteins and interaction pathways implicated in DENV pathogenesis.
  • Experimental validation supported some of the predicted DENV-associated diseases.

Conclusions:

  • The study provides insights into the complex relationship between DENV and human diseases.
  • Identified potential therapeutic targets for developing novel anti-dengue treatments.
  • Highlights the utility of network analysis in understanding viral pathogenesis and disease outcomes.