ALBERGHINA LILIA
- U03, Floor: 5, Room: 5008
Publications
Vanoni, M., Palumbo, P., Papa, F., Busti, S., Gotti, L., Wortel, M., et al. (2025). A modular model integrating metabolism, growth, and cell cycle predicts that fermentation is required to modulate cell size in yeast populations. PLOS COMPUTATIONAL BIOLOGY, 21(7) [10.1371/journal.pcbi.1013296]. Detail
Vanoni, M., Palumbo, P., Busti, S., Alberghina, L. (2024). A critical review of multiscale modeling for predictive understanding of cancer cell metabolism. CURRENT OPINION IN SYSTEMS BIOLOGY, 39(December 2024) [10.1016/j.coisb.2024.100531]. Detail
Goglia, I., Węglarz‐tomczak, E., Gioia, C., Liu, Y., Virtuoso, A., Bonanomi, M., et al. (2024). Fusion–fission–mitophagy cycling and metabolic reprogramming coordinate nerve growth factor (NGF)‐dependent neuronal differentiation. THE FEBS JOURNAL, 291(13 (July 2024)), 2811-2835 [10.1111/febs.17083]. Detail
Galuzzi, B., Izzo, S., Giampaolo, F., Cuomo, S., Vanoni, M., Alberghina, L., et al. (2023). Coupling constrained-based flux sampling and clustering to tackle cancer metabolic heterogeneity. In 2023 31st Euromicro International Conference on Parallel, Distributed and Network-Based Processing (PDP) (pp.185-192). IEEE [10.1109/PDP59025.2023.00037]. Detail
Di Filippo, M., Pescini, D., Galuzzi, B., Bonanomi, M., Gaglio, D., Mangano, E., et al. (2022). INTEGRATE: Model-based multi-omics data integration to characterize multi-level metabolic regulation. PLOS COMPUTATIONAL BIOLOGY, 18(2) [10.1371/journal.pcbi.1009337]. Detail