DE GIOIA LUCA

Persico, F., Galuzzi, B., Pellegrino, M., Claudel, A., De Gioia, L., Nastri, F., et al. (2026). Predicting Metalloprotein Redox Potentials with Machine Learning: A Focus on Iron–Sulfur Systems. Intervento presentato a: XIV International Conference on Hydrogenase and Other Redox Metalloenzymes 2026, Leicester, UK. Detail

Gioia, L. (2026). Natural Selection as a Process That Increases Metabolic Entropy Production? A Regime-Dependent Analysis in Open Chemostat Systems with Michaelis–Menten Kinetics and Mutation–Selection Dynamics. ENTROPY, 28(9) [10.3390/e28090983]. Detail

Incarbone, S., De Gioia, L. (2026). Recent Advancements in Information Ratchet Design. MOLECULES, 31(8) [10.3390/molecules31081282]. Detail

Rovaletti, A., Wu-Lu, M., Arrigoni, F., De Gioia, L., Ryde, U., Greco, C., et al. (2026). QM/MM Modeling of the Electronic Structure and Properties of the Fe-S Clusters in Desulfovibrio desulfuricans [FeFe]-Hydrogenase. INORGANIC CHEMISTRY, 65(25), 13988-13999 [10.1021/acs.inorgchem.6c01252]. Detail

Frigerio, G., Donadoni, E., Siani, P., Vertemara, J., Motta, S., Bonati, L., et al. (2025). Mechanism of Ligand-Activated Nanoparticles Binding to Target Cell-Surface Receptors by All-Atom Molecular Dynamics. Intervento presentato a: 2025 MRS Spring Meeting, Seattle, USA. Detail