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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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Библиографические подробности
Опубликовано в: :BMC Bioinformatics
Главные авторы: Sheik Amamuddy, Olivier, Bishop, Nigel T., Tastan Bishop, Özlem
Формат: Artigo
Язык:Inglês
Опубликовано: BioMed Central 2017
Предметы:
Online-ссылка:https://ncbi.nlm.nih.gov/pmc/articles/PMC5558779/
https://ncbi.nlm.nih.gov/pubmed/28810826
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12859-017-1782-x
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