Many viruses infect, kill, and manipulate cells in various environments, but their diverse and rapidly evolving nature makes it challenging for scientists to comprehend their full impact.
Scientists struggle to study microbial communities due to the complexity of their natural environments, which are hard to replicate in a lab setting.
The use of artificial intelligence and protein language models is helping researchers classify and annotate viral sequences efficiently, allowing for a better understanding of their functions in microbial ecosystems.
Identifying viral sequences in environmental DNA exceeds the rate of annotation, leading to research publications lacking comprehensive data on viruses in microbial ecosystems.
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