Queste sono le differenze tra la revisione selezionata e la versione attuale della pagina.
Entrambe le parti precedenti la revisione Revisione precedente | |||
calcoloscientifico:risulati [16/02/2024 10:23] fausto.pagani |
calcoloscientifico:risulati [11/03/2024 10:10] (versione attuale) fausto.pagani |
||
---|---|---|---|
Linea 10: | Linea 10: | ||
=== 2024=== | === 2024=== | ||
+ | * Perugino F, Pedroni L, Galaverna G, Dall' | ||
+ | * Pedroni L, Perugino F, Magnaghi F, Dall’Asta C, Galaverna G, Dellafiora L. Free fatty acid receptors beyond fatty acids: A computational journey to explore peptides as possible binders of GPR120. Current Research in Food Science. Volume 8, 2024. doi: | ||
* Battiston, P., Gamba, S., Santoro, A. (2024). Machine learning and the optimization of prediction-based policies. Technological Forecasting and Social Change, 199, 123080 | * Battiston, P., Gamba, S., Santoro, A. (2024). Machine learning and the optimization of prediction-based policies. Technological Forecasting and Social Change, 199, 123080 | ||
* Bedini A, Elisi GM, Fanini F, Retini M, Scalvini L, Pasquini S, Contri C, Varani K, Spadoni G, Mor M, Vincenzi F, Rivara S. Binding and unbinding of potent melatonin receptor ligands: mechanistic simulations and experimental evidence. J. Pineal Res. 2024 76:e12941 | * Bedini A, Elisi GM, Fanini F, Retini M, Scalvini L, Pasquini S, Contri C, Varani K, Spadoni G, Mor M, Vincenzi F, Rivara S. Binding and unbinding of potent melatonin receptor ligands: mechanistic simulations and experimental evidence. J. Pineal Res. 2024 76:e12941 |