Analysis of drug resistance in HIV protease

Abstract Background Drug resistance in HIV is the major problem limiting effective antiviral therapy. Computational techniques for predicting drug resistance profiles from genomic data can accelerate the appropriate choice of therapy. These techniques can also be used to select protease mutants for...

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Bibliografische gegevens
Hoofdauteurs: Shrikant D. Pawar, Christopher Freas, Irene T. Weber, Robert W. Harrison
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: BMC 2018-10-01
Reeks:BMC Bioinformatics
Onderwerpen:
HIV protease
Drug resistance
Machine learning
RBM
Structure-based
Online toegang:http://link.springer.com/article/10.1186/s12859-018-2331-y
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