Jessica Z. Kubicek-Sutherland

This paper introduces a structure-based workflow to optimize signal peptides for enhanced antigen expression in human cells, showing that structurally optimized SPs improve protein secretion for vaccine candidates.

SignalGen predicts optimal signal peptides for protein expression by integrating mature protein sequences, organism, and localization using a Latent Residual Transformer.

This study identifies two common binding and dissociation pathways for diverse toxins interacting with nAChRs, revealing electrostatic interactions as a key determinant for toxicity.

The paper introduces metrics to quantify CD8+ T cell responses to vaccine antigens, considering HLA genetic variation and viral evolution, using Ebola, SARS-CoV-2, and Burkholderia pseudomallei as examples.