Deogratius Ssemwanga

Machine learning identifies potential accessory resistance-associated mutations in HIV-1 integrase

Abstract Background Although integrase strand transfer inhibitors (INSTIs) have a high genetic barrier to resistance, cases of virological failure continue to emerge, sometimes in the absence of major resistance-associated mutations. Conventional genotypic and phenotypic resistan...