Stacey Gerben

This paper designs de novo metalloproteases using RoseTTAFold Diffusion 2, achieving high activity and specificity for cleaving various substrates.

The paper designs high-affinity miniprotein binders targeting Flpp3, a virulence factor of Francisella tularensis, using physics-based and deep-learning methods, achieving sub-nanomolar affinities.

This paper designs synthetic insulin receptor agonists that modulate receptor conformation and signaling, showing improved potency and activity in disease mutants.

This paper describes a designed IL-21 mimic, 21h10, which shows potent antitumor activity in multiple models and reduces toxicity through TNF blockade.

This paper designs beta barrels and transmembrane nanopores using deep learning and parametric methods, achieving high success rates with experimental validation.

The paper develops RFdiffusion to generate protein binders for IDPs/IDRs, achieving nanomolar affinity and functional applications in amylin and IL2RG.

The paper designs proteins that bind intrinsically disordered regions with high affinity and specificity across diverse targets.

This paper introduces RFpeptides, a deep learning framework for designing high-affinity macrocyclic peptides, achieving sub-nanomolar binding affinities and accurate structural predictions.

The paper designs de novo proteins called NeoNectins that specifically bind integrin α5β1, enhancing cell attachment and tissue integration in biomaterials.

This study designs miniproteins that inhibit MERS-CoV by targeting the spike protein, showing broad neutralization and protective efficacy in mice.

The paper designs TrkA agonists that activate neuronal differentiation and neurite outgrowth without triggering pain-related gene expression.

The paper develops a method to assess solution properties of designed proteins using mass spectrometry and peptide barcoding, enabling analysis of large protein libraries.

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

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

This study successfully designs transmembrane beta-barrels from first principles, revealing structural constraints and enabling custom pore design for biotechnology applications.