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Characterization of intertype specific epitopes on adenovirus hexons

E Adám1, I Nász, F Hudecz

  • 1Institute of Microbiology, Semmelweis Medical University, Budapest, Hungary.

Archives of Virology
|October 27, 1998
PubMed
Summary

This study identified and mapped intertype specific (IT) epitopes on adenovirus hexons using monoclonal antibodies and computational predictions. Findings reveal epitope locations and potential for new epitope discovery on human adenovirus types 2 and 41.

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[Not Available].

Progres en urologie : journal de l'Association francaise d'urologie et de la Societe francaise d'urologie·2015

Area of Science:

  • Virology
  • Immunology
  • Structural Biology

Background:

  • Adenovirus hexons are key structural proteins involved in viral infection.
  • Characterizing intertype specific (IT) epitopes is crucial for understanding adenovirus diversity and developing diagnostics or therapeutics.
  • Previous studies have utilized monoclonal antibodies (MAbs) to define some adenovirus hexon epitopes.

Purpose of the Study:

  • To specify and differentiate eighteen intertype specific (IT) epitopes of adenovirus hexons.
  • To predict the location and nature of IT epitopes on human adenovirus (HAdV) type 2 and HAdV-41 hexon sequences.
  • To validate predicted epitopes through experimental synthesis and antibody-based assays.

Main Methods:

  • Monoclonal antibody (MAb) characterization of eighteen IT epitopes on adenovirus hexons.

Related Experiment Videos

  • Bioinformatic analysis of HAdV-2 and HAdV-41 hexon amino acid sequences to identify hydrophilic regions and beta-turns for epitope prediction.
  • Comparative analysis of predicted and experimentally determined epitopes.
  • Synthesis of peptides corresponding to predicted epitope regions.
  • Enzyme-linked immunosorbent assay (ELISA) using antibodies against synthesized peptides.

    • Main Results:

    • A close specificity relationship among epitope groups suggests they can be continuous, overlapping, or discontinuous.
    • Sixteen IT epitope sites were computationally predicted on HAdV-2 hexon and nineteen on HAdV-41 hexon.
    • Predicted epitopes on HAdV-2 showed good coincidence with MAb-defined epitopes.
    • Predicted common and non-common epitopes between HAdV-2 and HAdV-41 align with MAb data, suggesting potential for more epitopes.
    • Synthesized peptides elicited antibodies that recognized various native hexon types in ELISA.

    Conclusions:

    • Computational prediction of IT epitopes on adenovirus hexons is a viable approach, complementing MAb-based methods.
    • Predicted epitopes are primarily located in specific regions of the hexon subunit, including pedestal domains and loop regions.
    • The study provides a foundation for further investigation into adenovirus epitope structure and function, potentially aiding in vaccine or diagnostic development.