ARRIGONI FEDERICA

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 [10.1021/acs.inorgchem.6c01252]. Dettaglio

Liu, L., Klamke, M., Arrigoni, F., Lampret, O., Kleinhaus, J., Apfel, U., et al. (2026). A Zundel ion in the catalytic proton transfer pathway of [FeFe]-hydrogenase. PHYSICAL CHEMISTRY CHEMICAL PHYSICS, 28(11), 7101-7110 [10.1039/d5cp04267d]. Dettaglio

Stejskalova, C., Arrigoni, F., Albanesi, R., Bertini, L., Mollica, L., Coscia, F. (2025). A conserved acidic residue drives thyroxine synthesis within thyroglobulin and other protein precursors. THE JOURNAL OF BIOLOGICAL CHEMISTRY, 301(1) [10.1016/j.jbc.2024.108026]. Dettaglio

Silvestri, G., Fossati, M., Arrigoni, F., Bertini, L., Zampella, G., Gioia, L., et al. (2025). Solvent-Driven Modulation of Shuttling Dynamics in an Autonomous Chemically Fueled Information Ratchet. JOURNAL OF PHYSICAL CHEMISTRY. B, CONDENSED MATTER, MATERIALS, SURFACES, INTERFACES & BIOPHYSICAL, 129(43), 11283-11296 [10.1021/acs.jpcb.5c05092]. Dettaglio

Persico, F., Galuzzi, B., Pellegrino, M., Claudel, A., De Gioia, L., Nastri, F., et al. (2025). Predicting Metalloprotein Redox Potentials with Machine Learning: A Focus on Iron–Sulfur Systems. JOURNAL OF CHEMICAL INFORMATION AND MODELING, 65(21), 11631-11643 [10.1021/acs.jcim.5c01752]. Dettaglio