PhANNs, a fast and accurate tool and web server to classify phage structural proteins.
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ABSTRACT: For any given bacteriophage genome or phage-derived sequences in metagenomic data sets, we are unable to assign a function to 50-90% of genes, or more. Structural protein-encoding genes constitute a large fraction of the average phage genome and are among the most divergent and difficult-to-identify genes using homology-based methods. To understand the functions encoded by phages, their contributions to their environments, and to help gauge their utility as potential phage therapy agents, we have developed a new approach to classify phage ORFs into ten major classes of structural proteins or into an "other" category. The resulting tool is named PhANNs (Phage Artificial Neural Networks). We built a database of 538,213 manually curated phage protein sequences that we split into eleven subset
SUBMITTER: Cantu VA
PROVIDER: S-EPMC7660903 | biostudies-literature | 2020 Nov
REPOSITORIES: biostudies-literature
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