Integrative Multi-Virus Modeling: Predicting Pan-Antiviral Drug Targets Using Comparative Systems Biology

Inspired by Zitzmann et al. (2023) and Knodel et al. (2024), who model HCV and other RNA viruses, this project proposes a formal, systems biology approach: build and contrast detailed replication and drug-interaction models for HCV, dengue, SARS-CoV-2, and other plus-strand RNA viruses. By identifying steps that are both essential and least variable across viruses—such as polyprotein processing or replication organelle formation—we can prioritize “universal” antiviral targets. This is more ambitious than single-virus modeling and goes beyond in vitro observations by integrating data from multiple pathogens. The impact could be profound: a roadmap for developing true pan-viral therapies, crucial for pandemic preparedness and the ongoing battle with emerging resistance.

References:

1. Mathematical modeling of plus-strand RNA virus replication to identify broad-spectrum antiviral treatment strategies. Carolin Zitzmann, Christopher Dächert, B. Schmid, H. V. D. Schaar, M. V. Hemert, A. Perelson, F. V. Kuppeveld, R. Bartenschlager, M. Binder, L. Kaderali (2023). PLoS Comput. Biol..
2. Intracellular “In Silico Microscopes”—Comprehensive 3D Spatio-Temporal Virus Replication Model Simulations. Markus M. Knodel, A. Nägel, Eva Herrmann, G. Wittum (2024). Viruses.