David Veesler

This paper develops a stabilization strategy for sarbecovirus fusion machinery vaccines, showing broad reactivity and protection against SARS-CoV-2 variants.

This study identifies umbrella toxin particles produced by Streptomyces that inhibit the growth of competing bacterial species, distinct from small molecule antibiotics.

The paper determines the structure of Langya virus glycoproteins and shows they use a different receptor than NiV and HeV, with no cross-reactivity of antibodies.

This study shows that immune imprinting from prior Wuhan-Hu-1 spike exposure persists after XBB.1.5 vaccine booster, with neutralizing antibodies dominated by pre-existing memory B cells.

This study shows that antigen spacing on protein nanoparticles affects antibody responses to vaccination, with decreased spacing improving hemagglutination inhibition and neutralization potency.

This study characterizes the receptor tropism and antigenicity of a clade 3 sarbecovirus, identifying broad ACE2 usage and cross-neutralizing antibodies with implications for vaccine design.

The paper introduces a thermodynamically coupled biosensor to rapidly detect neutralizing antibodies against SARS-CoV-2 strains in serum samples.

This paper computationally designs self-assembling protein rotary machines that sample internal rotational degrees of freedom based on energy landscapes.

The paper designs and characterizes trivalent miniprotein binders that neutralize SARS-CoV-2 variants with low pM IC50 values and provide prophylactic and therapeutic protection in mice.

The paper introduces a computational method for designing rigid protein assemblies through three-body fusion and validates it experimentally with mass spectrometry and cryo-EM.

The paper predicts SARS-CoV-2 B-cell epitopes using computational methods and validates them with ELISA, finding two antigens with high sensitivity and specificity for serological diagnosis of COVID-19.

The paper designs picomolar SARS-CoV-2 miniprotein inhibitors using computational methods and experimental validation, showing high potency and structural similarity to computational models.

Designed trimers matched to viral glycoprotein termini yielded tetrahedral, octahedral and icosahedral nanoparticles with cryo-EM-verified structures that display native-like HIV Env, influenza HA and RSV F.