Pietro Hiram Guzzi

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.

The paper evaluates pocket detection methods across molecular dynamics simulations to identify conserved and transient druggable sites in proteins.

NetMD synchronizes and analyzes molecular dynamics trajectories using graph embedding and time warping to reveal shared dynamics and deviations across conditions.

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.

This study identifies critical genes and pathways in gastric cancer pathogenesis using bioinformatics analysis of gene interactions and enrichment.

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.

This study uses network analysis in Drosophila melanogaster to identify mitochondrial genes associated with aging and age-related diseases.

The paper identifies key amino acids in SARS-CoV-2 Spike and human ACE2 that affect viral entry and identifies variants in these proteins associated with infection susceptibility.

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.

The paper analyzes the SARS-CoV-2/human interactome to identify key regulatory mechanisms affected by infection, highlighting apoptotic and mitochondrial pathways and ACE2 receptor downregulation.

The paper investigates whether hub genes and their neighbors in Alzheimer’s disease subnetworks show chemical proximity in DNA sequences and amino acid properties.