Drug Resistance Prediction Using Deep Learning Techniques on HIV-1 Sequence Data

The fast replication rate and lack of repair mechanisms of human immunodeficiency virus (HIV) contribute to its high mutation frequency, with some mutations resulting in the evolution of resistance to antiretroviral therapies (ART). As such, studying HIV drug resistance allows for real-time evaluati...

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Detalles Bibliográficos
Autores principales: Steiner, Margaret C., Gibson, Keylie M., Crandall, Keith A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7290575/
https://www.ncbi.nlm.nih.gov/pubmed/32438586
http://dx.doi.org/10.3390/v12050560

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7290575/
https://www.ncbi.nlm.nih.gov/pubmed/32438586
http://dx.doi.org/10.3390/v12050560

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