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Article

Using machine learning and big data to explore the drug resistance landscape in HIV.

PLoS computational biology - 1 Aug 2021

Blassel Luc, Tostevin Anna, Villabona-Arenas Christian Julian, Peeters Martine, Hué Stéphane, Gascuel Olivier

Abstract excerpt

Drug resistance mutations (DRMs) appear in HIV under treatment pressure. DRMs are commonly transmitted to naive patients. The standard approach to reveal new DRMs is to test for significant frequency differences of mutations between treated and naive patients. However, we then consider each mutation individually and cannot hope to study interactions between several mutations. Here, we aim to leverage the...

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PMID: 34437532
DOI: 10.1371/journal.pcbi.1008873
PMCID: PMC8425536

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