Peter B. Gilbert

The paper uses long-read sequencing to study HIV transmission and population dynamics in acute infection, finding high multilineage transmission rates and rapid viral evolution.

The paper analyzes HIV breakthrough virus populations in antibody-mediated prevention trials, finding high rates of multilineage infections and recombination under VRC01 treatment.

This study identifies VRC01-mediated viral escape mutations in HIV-infected participants from antibody-mediated prevention trials, showing that VRC01 can select for escape variants with cross-resistance to other CD4bs bnAbs.

The paper identifies a new broadly neutralizing antibody, 04_A06, with high potency and breadth against HIV-1 strains, showing potential for prevention and therapy.

The paper compares two approaches for predicting HIV-1 neutralization by combination antibody regimens, finding the combine-then-predict approach superior for binary outcomes and at least as good for continuous outcomes.

The paper uses a statistical learning strategy to track SARS-CoV-2 Spike protein mutations in the US, identifying new variants and their spatiotemporal patterns.

The paper identifies a monocyte-derived transcriptome signature linked to antibody-dependent cellular phagocytosis as a correlate of vaccine-induced protection against HIV-1 in clinical trials.

SLAPNAP predicts in vitro neutralization resistance of HIV Envelope pseudoviruses to bnAb regimens using machine learning based on sequence features to aid in selecting effective prevention strategies.