Rui Miguel Pinheiro Vitorino

The paper integrates systems biology and machine learning to analyze bacterial signaling networks in OSCC, identifies key nodes, and designs multi-target ligands for the MAPK1-STAT3-mTOR axis.

The paper uses hierarchical machine learning to identify topological differences in autophagy networks between pathogenic and commensal oral bacteria in OSCC.

This study identifies BCL2L13 as a regulator of autophagy and ceramide metabolism in glioblastoma, showing distinct effects on metabolic pathways in TMZ-resistant and sensitive cells.

The paper uses lipidomics to investigate the role of lipids and their interaction with autophagy in lung cancer metastasis.

This study examines how social instability stress during adolescence affects prefrontal cortex proteomics in rats, revealing sex- and age-dependent molecular changes.