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CHERRY: a Computational metHod for accuratE pRediction of virus-pRokarYotic interactions using a graph encoder-decoder model. (arXiv:2201.01018v1 [q-bio.GN])
cs.LG updates on arXiv.org arxiv.org
Prokaryotic viruses, which infect bacteria and archaea, are key players in
microbial communities. Predicting the hosts of prokaryotic viruses helps
decipher the dynamic relationship between microbes. Although there are
experimental methods for host identification, they are either labor-intensive
or require the cultivation of the host cells, creating a need for computational
host prediction. Despite some promising results, computational host prediction
remains a challenge because of the limited known interactions and the sheer
amount of sequenced phages by high-throughput sequencing technologies. …
arxiv bio computational encoder-decoder graph prediction virus