Intracellular "In Silico Microscopes"-Comprehensive 3D Spatio-Temporal Virus Replication Model Simulations.

Area of Science:

• Biophysics
• Computational Biology
• Virology

Background:

• Viruses cause significant harm, necessitating a deeper understanding of their replication.
• Quantitative biophysical insights into intracellular virus replication are limited.
• Identifying replication targets can aid in developing antiviral agents and vaccines.

Purpose of the Study:

• To develop a computational framework for simulating intracellular virus replication dynamics.
• To model the replication cycle of the hepatitis C virus (HCV).
• To elucidate the spatio-temporal interplay of viral and host components during replication.

Main Methods:

• Utilized partial differential equation (PDE) models, including surface PDEs (sufPDEs) and volume PDEs.
• Coupled models on the endoplasmic reticulum (ER) manifold, membranous web, and cytosol.
• Incorporated realistic cell geometries and experimental data for model evaluation.

Main Results:

• Developed a diffusion-reaction model simulating HCV replication components (viral proteins, RNA, host factor).
• Simulations revealed the impact of ER-bound viral proteins on cytosolic factors and membranous web dynamics.
• Model allowed for viral RNA diffusion on the ER and within the cytosol.

Conclusions:

• The PDE framework provides quantitative biophysical insights into intracellular viral replication.
• Simulated dynamics align with experimental findings, validating the model.
• The study complements experimental data and guides future research for antiviral strategies.