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Article

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

Viruses - 19 May 2020

Steiner Margaret C, Gibson Keylie M, Crandall Keith A

Abstract excerpt

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 evaluation of evolutionary mechanisms. Characterizing the biological process of drug resistance is also critically important...

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Share to Anti-Retroviral Agents
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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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Identifiers

PMID: 32438586
DOI: 10.3390/v12050560
PMCID: PMC7290575

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