Kenneth D. Carr

This study identifies two antibody classes that neutralize pneumovirus by targeting a conserved epitope, revealing distinct mechanisms of action through structural and functional analyses.

This study shows that computationally designed proteins can template and confine hydroxyapatite mineralization, providing a framework for programmable protein-guided mineralization.

This study designs proteins to control the phase, form, and function of metal-carbonate materials, demonstrating their use as electrocatalysts for alkaline water splitting.

This paper designs de novo protein nanoparticles with integrated functional motifs, demonstrating their ability to form structured assemblies and elicit immune responses in mice.

This paper designs antibodies de novo with atomic precision using RFdiffusion and yeast display, validated by cryo-EM and biophysical methods.

This paper designs Ca2+ channels with specific selectivity filter geometries using a bottom-up approach, showing higher Ca2+ conductance and structural accuracy.

This paper introduces a generative diffusion model for de novo design of RNA and nucleoprotein complexes, validated experimentally with SHAPE-seq and electron microscopy.

This paper designs potent small protein inhibitors of C. difficile toxin B using deep learning and Rosetta, showing high affinity and stability for potential clinical use.

This paper presents a computational strategy to design bifaceted protein nanomaterials with two distinct sides, enabling anisotropic functionalization and controlled structural variation.

This study develops a multivalent nanoparticle vaccine against EBOV and SUDV, showing protection in rodents from lethal infection.

This paper identifies an unknown contaminant in protein samples using Cryo-EM and AI tools, leading to improved purification protocols.

The paper designs proteins that template mineralization of metal-oxides, showing they can guide hematite and ZnO growth under specific conditions.