Prediction of protein-protein interactions in dengue virus coat proteins guided by low resolution cryoEM structures

Rupali A Gadkari1, Narayanaswamy Srinivasan

  • 1Molecular Biophysics Unit, Indian Institute of Science, Bangalore, India. rupali@mbu.iisc.ernet.in

Abstract

Insights

Computational analysis revealed crucial protein interactions in dengue virus maturation. This study identified a novel proline-rich motif, aiding in the development of new antiviral strategies against flaviviridae infections.

Area of Science:

  • Virology
  • Structural Biology
  • Computational Biology

Background:

  • Dengue virus and other flaviviridae pose significant public health threats.
  • Understanding viral infection mechanisms is key to developing effective antivirals.
  • Low-resolution structures limit atomic-level understanding of viral coat protein conformational changes during maturation.

Purpose of the Study:

  • To predict residue-level details of dengue virus coat protein interactions.
  • To analyze conformational changes during viral maturation.
  • To identify conserved mechanisms across flaviviridae.

Main Methods:

  • Utilized Calpha positions from low-resolution cryo-electron microscopy structures.
  • Predicted protein-protein interaction interfaces at the residue level.
  • Compared viral structures across different life cycle phases.

Main Results:

  • Predicted residue-level details of dengue virus coat protein interfaces.
  • Identified conformational changes in protein-protein interactions during maturation.
  • Discovered a proline-rich motif at the protein-protein interaction interface, challenging the homodimer notion.
  • Found conserved residues across flaviviridae, suggesting common infection mechanisms.

Conclusions:

  • Computational approaches provide enhanced insights into low-resolution viral structures.
  • Findings can inform the design of novel antivirals against dengue and related viruses.
  • Identified a novel motif and conserved residues for potential therapeutic targeting.

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