Unraveling the Network Signatures of Oncogenicity in Virus-Human Protein-Protein Interactions.

ABSTRACT:

Background

Climate change, urbanization, and global mobility increase the risk of emerging infectious diseases with pandemic potential. There is a need for rapid methods that can assess their long-term effects on human health. In silico approaches are particularly suited to study processes that may manifest years later, under the assumption that perturbed biomolecular interactions underlie these outcomes. Here we focus on viral oncogenicity-the ability of viruses to increase cancer risk-which accounts for about 15% of global cancer cases.

Methods

We characterize viruses through multilayer representations of protein-protein interaction (PPI) networks reconstructed from the human interactome. Statistical analyses of topological features, combined with interpretable machine lea

SUBMITTER: Zambelli F 

PROVIDER: S-EPMC12731902 | biostudies-literature | 2025 Dec

REPOSITORIES: biostudies-literature