Gianni Cesareni

The paper curates causal gene-protein interactions linked to autism and develops tools to explore their functional relationships with phenotypes and pathways.

The paper demonstrates how fine-tuning BioBERT can accurately identify functional protein links from text, improving upon conventional methods and offering guidelines for data creation.

The paper curates a dataset of physical molecular interactions between SARS-CoV-2, SARS-CoV-1, and other Coronaviridae proteins, providing a resource for studying virus-host interactions.

Myo-REG integrates and curates molecular interactions and signaling pathways involved in muscle regeneration, providing a web portal for exploring cell-cell and intracellular interactions.

The paper presents a large-scale cancer pharmacogenomic screen with 11,576 experiments on 910 drug combinations across 85 cancer cell lines, enabling crowd-sourced prediction of synergistic drug pairs and biomarkers.

The paper introduces CausalTAB, an updated format for representing causal signaling interactions, enhancing the precision and coverage of signaling network modeling.

This study uses single-cell mass cytometry to analyze skeletal muscle cell dynamics during regeneration and ageing, revealing population heterogeneity and responses to perturbations.

This study shows that NOTCH signaling inhibits adipogenesis in wild-type FAPs but not in mdx FAPs, with TNF-α restoring NOTCH sensitivity in mdx FAPs.