Michiel J.M. Niesen

This paper develops a deep learning model to predict neutralizing activity of COVID-19 therapeutics and vaccines against SARS-CoV-2 variants, finding reduced activity against newer variants like EG.5 and XBB.1.16.

The paper identifies SARS-CoV-2 peptides similar to human cardiac proteins, suggesting potential molecular mimicry that may contribute to cardiac inflammation in COVID-19.

The paper analyzes mutations across the SARS-CoV-2 proteome in the Delta variant from 2 million genomes, finding high diversity and specific mutations in non-Spike proteins compared to other variants.