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Article Dans Une Revue Current Opinion in Virology Année : 2021

Drug resistance mutations in HIV: new bioinformatics approaches and challenges

Résumé

Drug resistance mutations appear in HIV under treatment pressure. Resistant variants can be transmitted to treatmentnaive individuals, which can lead to rapid virological failure and can limit treatment options. Consequently, quantifying the prevalence, emergence and transmission of drug resistance is critical to effectively treating patients and to shape health policies. We review recent bioinformatics developments and in particular describe: (1) the machine learning approaches intended to predict and explain the level of resistance of HIV variants from their sequence data; (2) the phylogenetic methods used to survey the emergence and dynamics of resistant HIV transmission clusters; (3) the impact of deep sequencing in studying within-host and between-host genetic diversity of HIV variants, notably regarding minority resistant variants.

Domaines

Biodiversité
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Origine : Publication financée par une institution

Dates et versions

hal-03369954 , version 1 (07-10-2021)

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Paternité - Pas d'utilisation commerciale - Pas de modification

Identifiants

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Luc Blassel, Anna Zhukova, Christian J Villabona-Arenas, Katherine E Atkins, Stéphane Hué, et al.. Drug resistance mutations in HIV: new bioinformatics approaches and challenges. Current Opinion in Virology, 2021, 51, pp.56 - 64. ⟨10.1016/j.coviro.2021.09.009⟩. ⟨hal-03369954⟩
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