A. S. Perelson

Last in first out: SIV proviruses seeded later in infection are harbored in short-lived CD4+ T cells

The paper models SIV provirus divergence in CD4+ T cells, finding that short-lived cells harbor more diverged virus, while long-lived cells contain less diverged virus, explaining contradictory prior results on reservoir timing.

Modeling the emergence of viral resistance for SARS-CoV-2 during treatment with an anti-spike monoclonal antibody

This paper models viral resistance emergence in SARS-CoV-2 treated with anti-spike monoclonal antibodies, showing that target cell replenishment mechanisms can explain high viral rebounds.

How reliable are estimates of key parameters in viral dynamic models?

This study evaluates how reliable parameter estimates are in viral dynamic models when pre-peak viral load data are missing, finding that some parameters are less sensitive to data gaps than others.

Multiscale modeling of HBV infection integrating intra- and intercellular viral propagation for analyzing extracellular viral markers

This study develops a multiscale mathematical model to predict intrahepatic cccDNA dynamics using serum viral markers, offering a non-invasive method for HBV infection analysis.

Prediction of elimination of intrahepatic cccDNA in hepatitis B virus-infected patients by a combination of noninvasive viral markers

This study develops a noninvasive method using viral markers to predict cccDNA levels in HBV patients, validated against liver biopsy data.

Mathematical modeling of plus-strand RNA virus replication to identify broad-spectrum antiviral treatment strategies

This paper develops a mathematical model of plus-strand RNA virus replication for HCV, DENV, and CVB3, identifying viral RNA translation and polyprotein cleavage as key targets for broad-spectrum antiviral strategies.

Models of SIV rebound after treatment interruption that involve multiple reactivation events

This paper develops a mathematical model of SIV rebound after treatment interruption that accounts for multiple reactivation events and uses it to estimate biological parameters from rebound data.

Regulation of T cell expansion by antigen presentation dynamics

The paper models T cell expansion dynamics and shows that antigen presentation kinetics regulate the size and specificity of the adaptive immune response.