Sfoglia per Autore
A modular model integrating metabolism, growth, and cell cycle predicts that fermentation is required to modulate cell size in yeast populations
2025 Vanoni, M; Palumbo, P; Papa, F; Busti, S; Gotti, L; Wortel, M; Teusink, B; Orlandi, I; Pessina, A; Airoldi, C; Brambilla, L; Vai, M; Alberghina, L
Mechanistically informed machine learning links non-canonical TCA cycle activity to Warburg metabolism and hallmarks of malignancy
2025 Lin, L; Lapi, F; Galuzzi, B; Vanoni, M; Alberghina, L; Damiani, C
Fusion–fission–mitophagy cycling and metabolic reprogramming coordinate nerve growth factor (NGF)‐dependent neuronal differentiation
2024 Goglia, I; Węglarz‐tomczak, E; Gioia, C; Liu, Y; Virtuoso, A; Bonanomi, M; Gaglio, D; Salmistraro, N; De Luca, C; Papa, M; Alberghina, L; Westerhoff, H; Colangelo, A
A critical review of multiscale modeling for predictive understanding of cancer cell metabolism
2024 Vanoni, M; Palumbo, P; Busti, S; Alberghina, L
Coupling constrained-based flux sampling and clustering to tackle cancer metabolic heterogeneity
2023 Galuzzi, B; Izzo, S; Giampaolo, F; Cuomo, S; Vanoni, M; Alberghina, L; Damiani, C; Piccialli, F
INTEGRATE: Model-based multi-omics data integration to characterize multi-level metabolic regulation
2022 Di Filippo, M; Pescini, D; Galuzzi, B; Bonanomi, M; Gaglio, D; Mangano, E; Consolandi, C; Alberghina, L; Vanoni, M; Damiani, C
CDK12 promotes tumorigenesis but induces vulnerability to therapies inhibiting folate one-carbon metabolism in breast cancer
2022 Filippone, M; Gaglio, D; Bonfanti, R; Tucci, F; Ceccacci, E; Pennisi, R; Bonanomi, M; Jodice, G; Tillhon, M; Montani, F; Bertalot, G; Freddi, S; Vecchi, M; Taglialatela, A; Romanenghi, M; Romeo, F; Bianco, N; Munzone, E; Sanguedolce, F; Vago, G; Viale, G; Di Fiore, P; Minucci, S; Alberghina, L; Colleoni, M; Veronesi, P; Tosoni, D; Pece, S
A framework for validating AI in precision medicine: considerations from the European ITFoC consortium
2021 Tsopra, R; Fernandez, X; Luchinat, C; Alberghina, L; Lehrach, H; Vanoni, M; Dreher, F; Sezerman, O; Cuggia, M; de Tayrac, M; Miklasevics, E; Itu, L; Geanta, M; Ogilvie, L; Godey, F; Boldisor, C; Campillo-Gimenez, B; Cioroboiu, C; Ciusdel, C; Coman, S; Hijano Cubelos, O; Itu, A; Lange, B; Le Gallo, M; Lespagnol, A; Mauri, G; Soykam, H; Rance, B; Turano, P; Tenori, L; Vignoli, A; Wierling, C; Benhabiles, N; Burgun, A
Transcriptomics and metabolomics integration reveals redox-dependent metabolic rewiring in breast cancer cells
2021 Bonanomi, M; Salmistraro, N; Fiscon, G; Conte, F; Paci, P; Bravata, V; Forte, G; Volpari, T; Scorza, M; Mastroianni, F; D'Errico, S; Avolio, E; Piccialli, G; Colangelo, A; Vanoni, M; Gaglio, D; Alberghina, L
Methotrexate inhibits SARS-CoV-2 virus replication "in vitro"
2021 Caruso, A; Caccuri, F; Bugatti, A; Zani, A; Vanoni, M; Bonfanti, P; Cazzaniga, M; Perno, C; Messa, C; Alberghina, L
Neurons, glia, extracellular matrix and neurovascular unit: A systems biology approach to the complexity of synaptic plasticity in health and disease
2020 De Luca, C; Colangelo, A; Virtuoso, A; Alberghina, L; Papa, M
Single-cell digital twins for cancer preclinical investigation
2020 Di Filippo, M; Damiani, C; Vanoni, M; Maspero, D; Mauri, G; Alberghina, L; Pescini, D
Systems metabolomics: from metabolomic snapshots to design principles
2020 Damiani, C; Gaglio, D; Sacco, E; Alberghina, L; Vanoni, M
ROS networks: designs, aging, Parkinson's disease and precision therapies
2020 Kolodkin, N; Sharma, R; Colangelo, A; Ignatenko, A; Martorana, F; Jennen, D; Briedé, J; Brady, N; Barberis, M; Mondeel, T; Papa, M; Kumar, V; Peters, B; Skupin, A; Alberghina, L; Balling, R; Westerhoff, H
Disruption of redox homeostasis for combinatorial drug efficacy in K-Ras tumors as revealed by metabolic connectivity profiling
2020 Gaglio., D; Bonanomi, M; Valtorta, S; Bharat, R; Ripamonti, M; Conte, F; Fiscon, G; Righi, N; Napodano, E; Papa, F; Raccagni, I; J Parker, S; Cifola, I; Camboni, T; Paci, P; Colangelo, A; Vanoni, M; M Metallo, C; Moresco, R; Alberghina, L
Fuzzy modeling and global optimization to predict novel therapeutic targets in cancer cells
2020 Nobile, M; Votta, G; Palorini, R; Spolaor, S; De Vitto, H; Cazzaniga, P; Ricciardiello, F; Mauri, G; Alberghina, L; Chiaradonna, F; Besozzi, D
Nicotinamide, nicotinamide riboside and nicotinic acid—Emerging roles in replicative and chronological aging in yeast
2020 Orlandi, I; Alberghina, L; Vai, M
A coarse-grain model of growth and cell cycle in Saccharomyces cerevisiae: a mathematical analysis
2019 Palumbo, P; Papa, F; Vanoni, M; Alberghina, L
Integration of single-cell RNA-seq data into population models to characterize cancer metabolism
2019 Damiani, C; Maspero, D; Di Filippo, M; Colombo, R; Pescini, D; Graudenzi, A; Westerhoff, H; Alberghina, L; Vanoni, M; Mauri, G
Qualitative behavior of a coarse-grain growth model
2019 Palumbo, P; Papa, F; Vanoni, M; Alberghina, L
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