Ahrum Son

The paper uses accessibility-based serum proteomics to identify a coagulation-complement signature associated with macrovascular invasion in hepatocellular carcinoma.

This paper demonstrates that a targeted plasma proteome measurement can detect multiple diseases with high accuracy, though validation remains needed for clinical use.

The paper quantifies protein biomarkers across diverse demographics and shows sex and race influence reference intervals, leading to potential misclassification.

This study uses targeted plasma proteomics to identify a biomarker axis distinguishing autoimmune thyroid disease from growth-hormone deficiency, but not within-class severity.

The paper introduces ImapDB, a database for immune markers and antibody panels, to streamline immune profiling assays and enhance research efficiency.

The paper identifies age-dependent structural changes in the human plasma proteome using Covalent Protein Painting and MRM-LC-MS/MS, revealing patterns that may serve as structural biomarkers.

This study identifies a multi-marker panel with 81.46% accuracy for detecting pulmonary dysfunction in children exposed to humidifier disinfectants using integrative multi-omics analysis.

The paper uses proteomics to analyze HBV-infected patient serum samples, identifying genotype-specific proteomic signatures and potential biomarkers.

This paper uses AI to design peptides that inhibit the APOE ε4-APP interaction, showing they bind effectively and disrupt complex formation in simulations.

This study uses proteomics and metabolomics to identify molecular changes in Sam2 knockout mice, revealing altered pathways linked to autism spectrum disorder and anxiety.

The paper investigates the effects of PDRN on ADORA2A-interacting proteins through proteomic analysis and network modeling, identifying novel interactions and potential sites involved in neuronal differentiation.

The paper uses in vivo protein footprinting to study dynamic conformational changes in the proteome across multiple tissues in Alzheimer's disease progression, finding that structural changes precede expression changes in key pathways.

PPIAT is a web tool that integrates protein interaction data and mass spectrometry information to identify physical protein-protein interactions.