Cargando…
Artificial Neural Networks Trained to Detect Viral and Phage Structural Proteins
Phages play critical roles in the survival and pathogenicity of their hosts, via lysogenic conversion factors, and in nutrient redistribution, via cell lysis. Analyses of phage- and viral-encoded genes in environmental samples provide insights into the physiological impact of viruses on microbial co...
Autores principales: | Seguritan, Victor, Alves, Nelson, Arnoult, Michael, Raymond, Amy, Lorimer, Don, Burgin, Alex B., Salamon, Peter, Segall, Anca M. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2012
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3426561/ https://www.ncbi.nlm.nih.gov/pubmed/22927809 http://dx.doi.org/10.1371/journal.pcbi.1002657 |
Ejemplares similares
-
PhANNs, a fast and accurate tool and web server to classify phage structural proteins
por: Cantu, Vito Adrian, et al.
Publicado: (2020) -
Phage Phenomics: Physiological Approaches to Characterize Novel Viral Proteins
por: Sanchez, Savannah E., et al.
Publicado: (2015) -
Gene Composer in a structural genomics environment
por: Lorimer, Don, et al.
Publicado: (2011) -
Structure and function of a cyanophage-encoded peptide deformylase
por: Frank, Jeremy A, et al.
Publicado: (2013) -
PRFect: A tool to predict programmed ribosomal frameshifts in prokaryotic and viral genomes
por: McNair, Katelyn, et al.
Publicado: (2023)