Utilizing Machine Learning to Improve Neutralization Potency of an HIV‑1 Antibody Targeting the gp41 N‑Heptad Repeat
Interrante M, Tang S, Kim S, Shanker V, Hie B, Bruun T, Wu W, Pak J, Fernandez D, Kim P. Utilizing Machine Learning to Improve Neutralization Potency of an HIV‑1 Antibody Targeting the gp41 N‑Heptad Repeat. ACS Chemical Biology 2025, 20: 1470-1480. PMID: 40540236, PMCID: PMC12281478, DOI: 10.1021/acschembio.5c00035.Peer-Reviewed Original ResearchConceptsN-heptad repeatNeutralization potencyHIV-1Gp41 N-heptad repeatTier 2 virusesMonoclonal antibodiesHIV-1 antibodiesVaccine development effortsEntry inhibitor enfuvirtideProtein language modelsHIV-1 gp41Potential vaccine targetsClinical efficacyVaccine targetsGp41AntibodiesMAbChallenge strainPotencyDiverse strainsSequence conservation
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