Lilia Alberghina

According to our database, Lilia Alberghina authored at least 19 papers between 2007 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Coupling constrained-based flux sampling and clustering to tackle cancer metabolic heterogeneity.

Bruno G. Galuzzi, Stefano Izzo, Fabio Giampaolo, Salvatore Cuomo, Marco Vanoni, Lilia Alberghina, Chiara Damiani, Francesco Piccialli

Proceedings of the 31st Euromicro International Conference on Parallel, 2023

2022

INTEGRATE: Model-based multi-omics data integration to characterize multi-level metabolic regulation.

Marzia Di Filippo, Dario Pescini, Bruno Giovanni Galuzzi, Marcella Bonanomi, Daniela Gaglio, Eleonora Mangano, Clarissa Consolandi, Lilia Alberghina, Marco Vanoni, Chiara Damiani

PLoS Comput. Biol., 2022

2021

A framework for validating AI in precision medicine: considerations from the European ITFoC consortium.

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

BMC Medical Informatics Decis. Mak., 2021

2020

Fuzzy modeling and global optimization to predict novel therapeutic targets in cancer cells.

Marco S. Nobile, Giuseppina Votta, Roberta Palorini, Simone Spolaor, Humberto De Vitto, Paolo Cazzaniga, Francesca Ricciardiello, Giancarlo Mauri, Lilia Alberghina, Ferdinando Chiaradonna, Daniela Besozzi

Bioinform., 2020

2019

Integration of single-cell RNA-seq data into population models to characterize cancer metabolism.

Chiara Damiani, Davide Maspero, Marzia Di Filippo, Riccardo Colombo, Dario Pescini, Alex Graudenzi, Hans V. Westerhoff, Lilia Alberghina, Marco Vanoni, Giancarlo Mauri

PLoS Comput. Biol., 2019

2018

Whole yeast model: what and why.

Pasquale Palumbo, Marco Vanoni, Federico Papa, Stefano Busti, Lilia Alberghina

PeerJ Prepr., 2018

Modeling Biological Timing and Synchronization Mechanisms by Means of Interconnections of Stochastic Switches.

Costanzo Manes, Pasquale Palumbo, Valerio Cusimano, Marco Vanoni, Lilia Alberghina

IEEE Control. Syst. Lett., 2018

2017

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.

Chiara Damiani, Riccardo Colombo, Daniela Gaglio, Fabrizia Mastroianni, Dario Pescini, Hans V. Westerhoff, Giancarlo Mauri, Marco Vanoni, Lilia Alberghina

PLoS Comput. Biol., 2017

An Integrated Model Quantitatively Describing Metabolism, Growth and Cell Cycle in Budding Yeast.

Pasquale Palumbo, Marco Vanoni, Federico Papa, Stefano Busti, Meike T. Wortel, Bas Teusink, Lilia Alberghina

Proceedings of the Artificial Life and Evolutionary Computation - 12th Italian Workshop, 2017

2016

Zooming-in on cancer metabolic rewiring with tissue specific constraint-based models.

Marzia Di Filippo, Riccardo Colombo, Chiara Damiani, Dario Pescini, Daniela Gaglio, Marco Vanoni, Lilia Alberghina, Giancarlo Mauri

Comput. Biol. Chem., 2016

Comparing Alzheimer's and Parkinson's diseases networks using graph communities structure.

Alberto Calderone, Matteo Formenti, Federica Aprea, Michele Papa, Lilia Alberghina, Anna Maria Colangelo, Paola Bertolazzi

BMC Syst. Biol., 2016

2014

An ensemble evolutionary constraint-based approach to understand the emergence of metabolic phenotypes.

Chiara Damiani, Dario Pescini, Riccardo Colombo, Sara Molinari, Lilia Alberghina, Marco Vanoni, Giancarlo Mauri

Nat. Comput., 2014

2013

An ensemble approach to the study of the emergence of metabolic and proliferative disorders via Flux Balance Analysis.

Chiara Damiani, Riccardo Colombo, Sara Molinari, Dario Pescini, Daniela Gaglio, Marco Vanoni, Lilia Alberghina, Giancarlo Mauri

Proceedings of the Proceedings Wivace 2013, 2013

2011

An Acidic Loop and Cognate Phosphorylation Sites Define a Molecular Switch That Modulates Ubiquitin Charging Activity in Cdc34-Like Enzymes.

Elena Papaleo, Valeria Ranzani, Farida Tripodi, Alessandro Vitriolo, Claudia Cirulli, Piercarlo Fantucci, Lilia Alberghina, Marco Vanoni, Luca De Gioia, Paola Coccetti

PLoS Comput. Biol., 2011

2010

Glucose Signaling-Mediated Coordination of Cell Growth and Cell Cycle in <i>Saccharomyces Cerevisiae</i>.

Stefano Busti, Paola Coccetti, Lilia Alberghina, Marco Vanoni

Sensors, 2010

Mathematical Modelling of DNA Replication Reveals a Trade-off between Coherence of Origin Activation and Robustness against Rereplication.

Anneke Brümmer, Carlos Salazar, Vittoria Zinzalla, Lilia Alberghina, Thomas Höfer

PLoS Comput. Biol., 2010

2009

Data recovery and integration from public databases uncovers transformation-specific transcriptional downregulation of cAMP-PKA pathway-encoding genes.

Chiara Balestrieri, Lilia Alberghina, Marco Vanoni, Ferdinando Chiaradonna

BMC Bioinform., 2009

Towards a systems biology approach to mammalian cell cycle: modeling the entrance into S phase of quiescent fibroblasts after serum stimulation.

Roberta Alfieri, Matteo Barberis, Ferdinando Chiaradonna, Daniela Gaglio, Luciano Milanesi, Marco Vanoni, Edda Klipp, Lilia Alberghina

BMC Bioinform., 2009

2007

Cell Size at S Phase Initiation: An Emergent Property of the G₁/S Network.

Matteo Barberis, Edda Klipp, Marco Vanoni, Lilia Alberghina

PLoS Comput. Biol., 2007