Viral Infections and Outbreaks Research

This study uses a computational model to investigate how phosphatidylserine influences VP40 matrix protein assembly in Ebola virus, showing PS affects filament growth and assembly steps.

The paper develops a mathematical model of the immune response to Ebola infections to stratify patients and identify potential treatment strategies.

The paper develops a live-cell imaging system to visualize Marburg virus nucleocapsid-like structures outside BSL-4 labs, showing they transport similarly to actual nucleocapsids.

The paper develops machine-learning prognostic models for Ebola virus disease using data from the 2014-16 outbreak, validated across independent datasets and integrated into a mobile health app.

The paper develops a pan-filovirus RT-PCR assay to detect all known filovirus species using universal primers targeting conserved regions of the nucleoprotein.

The paper analyzes amino acid substitutions in Ebola virus proteomes to identify evolutionary hotspots and positive selection across different lineages and outbreaks.

This study shows Ebola virus can infect boa constrictor cells without causing cytopathic effect or requiring genomic adaptation, while Marburg virus cannot.

This paper uses mathematical models and experimental data from EBOV-infected nonhuman primates to identify time windows for effective treatment and vaccination against Ebola virus.