2026/03/13 by Timon Kapischke, Simon T. Herrmann, Luca D. Bertzbach +2 · 1 voice
Biochemistry, Genetics and Molecular Biology · Medicine · #Gene Regulatory Network Analysis #SARS-CoV-2 and COVID-19 Research #vaccines and immunoinformatics approaches
paper · pdf · doi:10.1038/s44298-026-00183-8
openalex publication_date 2026/03/13 · openalex created_date 2026/03/14 · openalex updated_date 2026/07/29
There is a critical need for precise analysis of virus-host interactions to improve our understanding of infection processes. The integration of quantitative measurements with dynamic mathematical modeling has changed how we perceive cellular infection processes, offering profound insights into how viruses function at the cellular level. Here, we systematically review target cell-limited (TCL) ordinary differential equation (ODE) models related to SARS-CoV-2. We examine the spectrum of available models from basic TCL frameworks to more complex models incorporating antiviral treatments-and highlight key findings, discuss strengths and limitations, and identify a shortage of comprehensive datasets, emphasizing structural identifiability issues.