Armita Nourmohammad

Across 119 monoclonal germinal centers, B cell affinity rises reliably despite divergent phylogenies. Selection is noisy but persistent; mutability limits exploration. A DMS-based landscape shows saturating fitness and survivorship biases.

The paper analyzes T-cell receptor repertoires in individuals with and without post-acute sequelae of COVID-19 to identify immune signatures associated with PASC.

This study identifies design principles of cytotoxic CD8+ T-cell responses by modeling them as feedback-controlled programs, revealing trade-offs between infection clearance and immunopathology, and suggesting strategies for improving T-cell therapies.

This study identifies a cross-reactive germline antibody that can be evolved to neutralize multiple SARS-CoV-2 variants through targeted somatic mutations.

This study shows that donor T cell receptor repertoires are influenced by both HLA genetics and recent viral infections, with higher HLA heterozygosity and TCR-HLA coherence linked to increased GVHD risk.

This paper introduces a computational method to predict TCR-pMHC interactions and design immunogenic peptides, achieving high accuracy and demonstrating success in T-cell activation.

The paper designs high specificity binders for peptide-MHC-I complexes using deep learning, achieving specific targeting of pMHCs and enabling T-cell activation.

The paper introduces a formalism to analyze co-evolutionary arms races between immune systems and pathogens, showing how information exchange rates and entropy production can identify leaders and followers, and defines co-evolutionary efficiency as a metric for information exploitation.

HERMES predicts mutational effects on protein stability and binding affinity using structure-based models, showing strong performance and identifying antigen-stabilizing mutations for vaccine design.

This paper introduces H-(V)AE, an SO(3)-equivariant autoencoder in Fourier space for unsupervised learning and generation of 3D data, showing it can encode spherical images and predict protein-ligand binding affinity.