Dario Di Silvestre

The paper introduces CoPPIs, an algorithm that identifies differentially correlated functional modules by combining PPIs and co-expression networks, applied to proteomic data from Parkinson's disease and GBA1 mutation cases.

The paper investigates Arabidopsis proteome changes in chloroplast biogenesis and retrograde signaling, identifying adaptive responses and a new role for PsbO.

WOMBAT-P benchmarks label-free proteomics workflows by comparing four analysis pipelines using standardized metrics and datasets.

This study identifies MCT1-dependent metabolic failure and neuroinflammation as key factors in optic nerve degeneration in Wolfram syndrome mice, suggesting therapeutic targets for early intervention.

This study identifies a link between Epstein Barr virus and multiple sclerosis through enrichment analysis of GWAS data and biological validation.