Pierangelo Veltri

The paper introduces FibrilNet, a network framework that identifies conserved and tissue-specific molecular environments across systemic amyloidoses by integrating proteomic data with semantic and interaction information.

This study identifies sex-dimorphic aging patterns in cardiovascular disease genes using multi-omics data and prioritizes actionable biomarkers with convergent evidence.

This paper improves the classification of uncertain protein variants using ESM2 and UMAP for better variant prioritization in precision medicine.

This paper introduces a non-parametric differential network analysis method to identify gender-specific molecular signatures in disease-related gene expression data.

This paper introduces a non-parametric differential network analysis method to identify gene expression differences between males and females in diabetes datasets.

The paper analyzes how SARS-CoV-2 protein sequence mutations affect structure and function, finding that node centrality and community analysis in protein contact networks correlate with structural changes and vaccine timeline correlations.

The paper identifies molecular links between SARS-CoV-2 infection and age-related gene expression changes, highlighting specific genes affected in elderly patients.

The paper models and analyzes host-pathogen interactions using a network-centric approach and demonstrates common mechanisms and differences in viral infections.