Researchers have made advancements in using protein language models to predict viral host ranges. These models, which utilize large language models and deep learning techniques, can analyze viral metagenomic sequencing data and predict protein binding sites, among other applications. The technology has potential uses in outbreak investigation, novel pathogen discovery, and vaccine antigen prediction, with various studies exploring its capabilities and optimization.