Advanced Hepatitis C Virus Replication PDE Models within a Realistic Intracellular Geometric Environment

Area of Science:

• Virology
• Computational Biology
• Biophysics

Background:

• Hepatitis C virus (HCV) RNA replication occurs in complex 3D intracellular structures called membranous webs (MW), derived from the Endoplasmic Reticulum (ER).
• Visualizing and experimentally capturing this dynamic process is challenging.
• Previous work established 3D spatiotemporal diffusion-reaction models for HCV RNA replication.

Purpose of the Study:

• To extend existing 3D models of HCV RNA replication.
• To incorporate aggregate states of viral RNA and non-structural proteins (NSPs).
• To implement population dynamics-inspired diffusion and reaction coefficients for more realistic modeling.

Main Methods:

• Developed surface partial differential equation (sPDE) models.
• Integrated parameters for different aggregate states of HCV RNA and NSPs.
• Utilized population dynamics-inspired coefficients for diffusion and reaction.

Main Results:

• The extended model realistically simulates viral replication across scales.
• A replication complex state comprising HCV RNA and NSPs was described.
• The model qualitatively mimics a cis-replication requirement for HCV RNA.

Conclusions:

• The enhanced model provides a more accurate representation of HCV RNA replication dynamics.
• Findings support new modeling approaches and experimental investigations in virology.
• The study advances understanding of virus-host interactions at the molecular level.