CHERRY: a Computational metHod for accuratE pRediction of virus–pRokarYotic interactions using a graph encoder–decoder model

Abstract 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. Experimental methods for host prediction cannot keep pace with the fast accumulation of seq...

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Veröffentlicht in:	Briefings in bioinformatics Jg. 23; H. 5
Hauptverfasser:	Shang, Jiayu, Sun, Yanni
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	England Oxford University Press 20.09.2022 Oxford Publishing Limited (England)
Schlagworte:	Accuracy Amino acid sequence Archaea Bacteria Coders Computer applications Experimental methods Knowledge representation Microbial activity Microorganisms Next-generation sequencing Nucleotide sequence Phages Predictions Problem Solving Protocol Viruses graph convolutional network deep learning link prediction phage host prediction
ISSN:	1467-5463, 1477-4054, 1477-4054
Online-Zugang:	Volltext
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