K. D. Nguyen

Germline-encoded specificities and the predictability of the B cell response

The paper investigates how germline alleles influence B cell responses to infection, showing that while they can lead to similar responses, diverse evolutionary paths limit genetic predictability.

Disease diagnostics using machine learning of immune receptors

The paper develops Mal-ID, a machine learning framework using immune receptor data to diagnose diseases, detecting infections, autoimmune disorders, and vaccine responses.

Rheology of crossbridge ensembles

The paper analyzes crossbridge dynamics models to show that ensemble rheology simplifies to a few linear viscoelastic sub-processes, suggesting limitations in current crossbridge models.

Oligomerization of the Human Adenosine A2A Receptor Is Driven by the Intrinsically Disordered C-Terminus

This study identifies the intrinsically disordered C-terminus of the human A2A receptor as the driver of its homo-oligomerization through multiple interaction types.

Proteogenomic analysis unveils the HLA Class I presented immunopeptidome in melanoma and EGFR mutant lung adenocarcinoma

The paper identifies HLA Class I-presented peptides in melanoma and EGFR mutant lung adenocarcinoma using proteogenomic analysis, revealing neopeptides and post-translationally modified peptides for potential immunotherapy.

Global proteome and phosphoproteome alterations in third generation EGFR TKI resistance reveal drug targets to circumvent resistance

The paper analyzes proteome and phosphoproteome changes in EGFR TKI-resistant lung cancer cells to identify drug targets that can overcome resistance.

Quantitative mass spectrometry to interrogate proteomic heterogeneity in metastatic lung adenocarcinoma and validate a novel somatic mutation CDK12-G879V

The paper uses quantitative mass spectrometry to analyze proteomic and phosphoproteomic changes in metastatic lung adenocarcinoma and validates a novel somatic mutation CDK12-G879V associated with chemotherapy sensitivity.