Oscar A. MacLean

This study evaluates how protein language models capture mutational processes and fitness landscapes, finding that explicit mutational accessibility improves predictions while historical biases degrade performance.

The paper investigates the emergence of the influenza A/H3N2 K subclade, finding limited antigenic change and age-dependent vaccine responses, suggesting non-antigenic selection pressures.

This study uses machine learning to identify key viral and host processes associated with varying severity in bluetongue virus infection in sheep.

The paper identifies conserved recombination patterns across six coronavirus subgenera and links them to transcriptional regulatory sequences and sequence features.