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M A Kanso1, J H Piette1, J A Hanna2

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Summary
This summary is machine-generated.

Rotational diffusivity is key for virus infection. This study calculates this property for various viruses, finding that structural details and peplomer number significantly influence infection success.

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Area of Science:

  • Biophysics
  • Virology
  • Computational Biology

Background:

  • SARS-CoV-2, the virus causing COVID-19, relies on random thermal motion for infection.
  • The virus particle, SARS-CoV-2, is covered in spikes called peplomers, crucial for target alignment.
  • Rotational diffusivity is a critical transport property governing successful viral infection.

Purpose of the Study:

  • To calculate the rotational diffusivity and complex viscosity of four virus classes: tobacco mosaic, gemini, adeno, and corona.
  • To investigate the relationship between virus structure and rotational diffusivity.
  • To understand how peplomer arrangement and number affect viral infection dynamics.

Main Methods:

  • Employed general rigid bead-rod theory to calculate complex viscosities and rotational diffusivities from first principles.
  • Utilized polyhedral solutions to the Thomson problem for arranging corona virus peplomers.
  • Analyzed virus suspensions including tobacco mosaic, gemini, adeno, and corona viruses.

Main Results:

  • Calculated rotational diffusivity and complex viscosity for four virus types.
  • Found agreement between *ab initio* calculations and observed complex viscosity for tobacco mosaic virus.
  • Demonstrated that gemini virus's fine structural details govern its rotational diffusivity.
  • Determined the characteristic time for adenovirus using rigid bead-rod theory.
  • Observed a monotonic decrease in coronavirus rotational diffusivity with an increasing number of peplomers.

Conclusions:

  • Rotational diffusivity is a critical factor in viral infection efficiency.
  • Virus structure, including peplomer arrangement and number, significantly impacts rotational diffusivity.
  • The study provides a theoretical framework for understanding virus-target interactions based on physical properties.