Lilia Alberghina

20 papers C 1Journal 17Unranked 2
YearRankTypeTitle / Venue / Authors
2025 J jnl
A modular model integrating metabolism, growth, and cell cycle predicts that fermentation is required to modulate cell size in yeast populations.
PLoS Comput. Biol.
Marco Vanoni, Pasquale Palumbo, Federico Papa, Stefano Busti, Laura Gotti, Meike T. Wortel, Bas Teusink, Ivan Orlandi, Alex Pessina, Cristina Airoldi, Luca Brambilla, Marina Vai, Lilia Alberghina
2023 C conf
Coupling constrained-based flux sampling and clustering to tackle cancer metabolic heterogeneity.
PDP
Bruno G. Galuzzi, Stefano Izzo, Fabio Giampaolo, Salvatore Cuomo, Marco Vanoni, Lilia Alberghina, Chiara Damiani, Francesco Piccialli
2022 J jnl
INTEGRATE: Model-based multi-omics data integration to characterize multi-level metabolic regulation.
PLoS Comput. Biol.
Marzia Di Filippo, Dario Pescini, Bruno Giovanni Galuzzi, Marcella Bonanomi, Daniela Gaglio, Eleonora Mangano, Clarissa Consolandi, Lilia Alberghina, Marco Vanoni, Chiara Damiani
2021 J jnl
A framework for validating AI in precision medicine: considerations from the European ITFoC consortium.
BMC Medical Informatics Decis. Mak.
Rosy Tsopra, Xosé M. Fernández, Claudio Luchinat, Lilia Alberghina, Hans Lehrach, Marco Vanoni, Felix Dreher, Osman Ugur Sezerman, Marc Cuggia, Marie de Tayrac, Edvins Miklasevics, Lucian Mihai Itu, Marius Geanta, Lesley Ogilvie, Florence Godey, Cristian Nicolae Boldisor, Boris Campillo-Gimenez, Cosmina Cioroboiu, Costin Florian Ciusdel, Simona Coman, Oliver Hijano Cubelos, Alina Itu, Bodo Lange, Matthieu Le Gallo, Alexandra Lespagnol, Giancarlo Mauri, H. Okan Soykam, Bastien Rance, Paola Turano, Leonardo Tenori, Alessia Vignoli, Christoph Wierling, Nora Benhabiles, Anita Burgun
2020 J jnl
Fuzzy modeling and global optimization to predict novel therapeutic targets in cancer cells.
Bioinform.
Marco S. Nobile, Giuseppina Votta, Roberta Palorini, Simone Spolaor, Humberto De Vitto, Paolo Cazzaniga, Francesca Ricciardiello, Giancarlo Mauri, Lilia Alberghina, Ferdinando Chiaradonna, Daniela Besozzi
2019 J jnl
Integration of single-cell RNA-seq data into population models to characterize cancer metabolism.
PLoS Comput. Biol.
Chiara Damiani, Davide Maspero, Marzia Di Filippo, Riccardo Colombo, Dario Pescini, Alex Graudenzi, Hans V. Westerhoff, Lilia Alberghina, Marco Vanoni, Giancarlo Mauri
2018 J jnl
Modeling Biological Timing and Synchronization Mechanisms by Means of Interconnections of Stochastic Switches.
IEEE Control. Syst. Lett.
Costanzo Manes, Pasquale Palumbo, Valerio Cusimano, Marco Vanoni, Lilia Alberghina
2018 J jnl
Whole yeast model: what and why.
PeerJ Prepr.
Pasquale Palumbo, Marco Vanoni, Federico Papa, Stefano Busti, Lilia Alberghina
2017 J jnl
A metabolic core model elucidates how enhanced utilization of glucose and glutamine, with enhanced glutamine-dependent lactate production, promotes cancer cell growth: The WarburQ effect.
PLoS Comput. Biol.
Chiara Damiani, Riccardo Colombo, Daniela Gaglio, Fabrizia Mastroianni, Dario Pescini, Hans V. Westerhoff, Giancarlo Mauri, Marco Vanoni, Lilia Alberghina
2017 — conf
An Integrated Model Quantitatively Describing Metabolism, Growth and Cell Cycle in Budding Yeast.
WIVACE
Pasquale Palumbo, Marco Vanoni, Federico Papa, Stefano Busti, Meike T. Wortel, Bas Teusink, Lilia Alberghina
2016 J jnl
Comparing Alzheimer's and Parkinson's diseases networks using graph communities structure.
BMC Syst. Biol.
Alberto Calderone, Matteo Formenti, Federica Aprea, Michele Papa, Lilia Alberghina, Anna Maria Colangelo, Paola Bertolazzi
2016 J jnl
Zooming-in on cancer metabolic rewiring with tissue specific constraint-based models.
Comput. Biol. Chem.
Marzia Di Filippo, Riccardo Colombo, Chiara Damiani, Dario Pescini, Daniela Gaglio, Marco Vanoni, Lilia Alberghina, Giancarlo Mauri
2014 J jnl
An ensemble evolutionary constraint-based approach to understand the emergence of metabolic phenotypes.
Nat. Comput.
Chiara Damiani, Dario Pescini, Riccardo Colombo, Sara Molinari, Lilia Alberghina, Marco Vanoni, Giancarlo Mauri
2013 — conf
An ensemble approach to the study of the emergence of metabolic and proliferative disorders via Flux Balance Analysis.
WIVACE
Chiara Damiani, Riccardo Colombo, Sara Molinari, Dario Pescini, Daniela Gaglio, Marco Vanoni, Lilia Alberghina, Giancarlo Mauri
2011 J jnl
An Acidic Loop and Cognate Phosphorylation Sites Define a Molecular Switch That Modulates Ubiquitin Charging Activity in Cdc34-Like Enzymes.
PLoS Comput. Biol.
Elena Papaleo, Valeria Ranzani, Farida Tripodi, Alessandro Vitriolo, Claudia Cirulli, Piercarlo Fantucci, Lilia Alberghina, Marco Vanoni, Luca De Gioia, Paola Coccetti
2010 J jnl
Glucose Signaling-Mediated Coordination of Cell Growth and Cell Cycle in
Sensors
Stefano Busti, Paola Coccetti, Lilia Alberghina, Marco Vanoni
2010 J jnl
Mathematical Modelling of DNA Replication Reveals a Trade-off between Coherence of Origin Activation and Robustness against Rereplication.
PLoS Comput. Biol.
Anneke Brümmer, Carlos Salazar, Vittoria Zinzalla, Lilia Alberghina, Thomas Höfer
2009 J jnl
Data recovery and integration from public databases uncovers transformation-specific transcriptional downregulation of cAMP-PKA pathway-encoding genes.
BMC Bioinform.
Chiara Balestrieri, Lilia Alberghina, Marco Vanoni, Ferdinando Chiaradonna
2009 J jnl
Towards a systems biology approach to mammalian cell cycle: modeling the entrance into S phase of quiescent fibroblasts after serum stimulation.
BMC Bioinform.
Roberta Alfieri, Matteo Barberis, Ferdinando Chiaradonna, Daniela Gaglio, Luciano Milanesi, Marco Vanoni, Edda Klipp, Lilia Alberghina
2007 J jnl
Cell Size at S Phase Initiation: An Emergent Property of the G
PLoS Comput. Biol.
Matteo Barberis, Edda Klipp, Marco Vanoni, Lilia Alberghina