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Improving fold resistance prediction of HIV-1 against protease and reverse transcriptase inhibitors using artificial neural networks

BACKGROUND: Drug resistance in HIV treatment is still a worldwide problem. Predicting resistance to antiretrovirals (ARVs) before starting any treatment is important. Prediction accuracy is essential, as low-accuracy predictions increase the risk of prescribing sub-optimal drug regimens leading to p...

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Detalles Bibliográficos
Autores principales:	Sheik Amamuddy, Olivier, Bishop, Nigel T., Tastan Bishop, Özlem
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	BioMed Central 2017
Materias:	Research Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5558779/ https://www.ncbi.nlm.nih.gov/pubmed/28810826 http://dx.doi.org/10.1186/s12859-017-1782-x

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