Biophysical analysis of SARS-CoV-2 transmission and theranostic development via N protein computational

Godfred O Sabbih1, Maame A Korsah2, Jaison Jeevanandam3

  • 1Department of Chemical Engineering, University of Tennessee, Chattanooga, Tennessee, USA.

Biotechnology Progress
|October 29, 2020
PubMed

Insights

This study models SARS-CoV-2 incubation and analyzes its nucleocapsid protein. Findings offer insights into viral transmission and advance theranostics for COVID-19 (coronavirus disease 2019).

Area of Science:

  • Virology
  • Computational Biology
  • Infectious Diseases

Background:

  • Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) causes COVID-19, a zoonotic beta coronavirus infection.
  • Transmission occurs via respiratory droplets and aerosols, posing a significant public health threat.
  • Effective theranostic solutions require understanding viral transmission, incubation, and structural characteristics.

Purpose of the Study:

  • To develop an intrinsic model for SARS-CoV-2 incubation under various environmental factors.
  • To evaluate SARS-CoV-2 nucleocapsid protein properties using computational methods.
  • To explore opportunities for developing advanced theranostics for COVID-19.

Main Methods:

  • Development of an intrinsic model to simulate viral incubation.
  • Computational analysis of SARS-CoV-2 structural nucleocapsid protein.
  • Evaluation of binding probe affinity for diagnostic and therapeutic applications.

Main Results:

  • An intrinsic model was developed to describe SARS-CoV-2 incubation characteristics.
  • Computational approaches were used to evaluate nucleocapsid protein properties.
  • Insights into viral transmission and potential theranostic targets were generated.

Conclusions:

  • Understanding SARS-CoV-2 incubation and structural properties is crucial for theranostics.
  • Computational methods can aid in developing high-affinity binding probes.
  • This research opens new avenues for COVID-19 theranostics development.

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