Brian Coventry

This study uses target-conditioned diffusion to design high-affinity TNFR superfamily antagonists and agonists with switchable specificity.

The paper designs nanomolar binders for diverse small molecules using a pseudocycle-based shape complementarity method, enabling direct conversion into sensing systems.

This paper designs high-affinity proteins that bind to convex protein sites using geometrically matching concave scaffolds, achieving low nanomolar to picomolar affinities.

This paper introduces standardized protein building blocks and geometric design principles to create expandable protein nanomaterials, validated through X-ray crystallography and electron microscopy.

The paper designs EndoTags to trigger endocytosis and degradation of target proteins, enabling tissue-specific targeting and therapeutic applications.

This paper introduces a generative model to design helical proteins by assembling helix fragments guided by a GAN architecture, enabling rapid and computationally efficient scaffold generation.

This paper designs small, stable proteins that bind to diverse target proteins using only structural information, achieving nanomolar to picomolar affinities.

The paper introduces a method to penalize buried unsatisfied polar groups in protein design using a pairwise-decomposable energy term, reducing their occurrence in Rosetta sidechain packing calculations.

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