News-Medical.Net October 13, 2024
A new deep learning model, LucaProt, has detected over 251,000 new RNA virus species from global ecosystems, revealing unprecedented viral diversity in places like Antarctic sediment and extreme aquatic environments. Discover how this breakthrough could reshape our understanding of viral evolution.
In a recent study published in the journal Cell, researchers developed a deep learning model, “LucaProt,” a transformer-based AI model to detect highly divergent ribonucleic acid (RNA)-dependent RNA polymerase (RdRP) sequences in meta-transcriptomes from diverse ecosystems. They identified 180 RNA virus supergroups and 161,979 putative RNA virus species, showing that RNA viruses are widespread and present even in extreme environments.
Background
RNA viruses are widespread and infect a variety of species, yet their role in global ecosystems has only...
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