Predicting virus mutations through statistical relational learning

BACKGROUND: Viruses are typically characterized by high mutation rates, which allow them to quickly develop drug-resistant mutations. Mining relevant rules from mutation data can be extremely useful to understand the virus adaptation mechanism and to design drugs that effectively counter potentially...

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Detalles Bibliográficos
Autores principales: Cilia, Elisa, Teso, Stefano, Ammendola, Sergio, Lenaerts, Tom, Passerini, Andrea
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4261881/
https://www.ncbi.nlm.nih.gov/pubmed/25238967
http://dx.doi.org/10.1186/1471-2105-15-309

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4261881/
https://www.ncbi.nlm.nih.gov/pubmed/25238967
http://dx.doi.org/10.1186/1471-2105-15-309

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