Francesco Napolitano

Francesco Napolitano's research activity focuses on the application of advanced computational methodologies to study complex biological systems, with a particular emphasis on Systems Biology and Systems Pharmacology. By integrating Bioinformatics and Artificial Intelligence approaches, he develops computational models and predictive algorithms to analyze large-scale -omics data, identify biomarkers, and understand molecular interactions within biological networks.

One of his main research areas is computational drug discovery, where he designs strategies based on molecular interaction networks and in silico simulations to discover novel drug targets and repurpose existing drugs. Additionally, he works on biological pathway modeling and diseasome analysis, contributing to the characterization of pathogenic mechanisms and the personalization of therapeutic treatments.

In the field of Systems Biology, he integrates multi-omics data (genomics, transcriptomics, proteomics, and metabolomics) to construct systemic representations of cellular dynamics and responses to environmental or pharmacological perturbations. The use of Machine Learning techniques allows him to extract meaningful patterns from data and improve the prediction of complex phenotypes.