Lilia Alberghina

发表

From computational genomics to systems metabolomics for precision cancer medicine and drug discovery.

Lilia Alberghina, Gennaro Piccialli, 2019, Pharmacological research.

Beyond Computational Genomics towards Systems Metabolomics for Precision Oncology

Lilia Alberghina, L. Alberghina, 2018 .

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

Lilia Alberghina, Chiara Balestrieri, Marco Vanoni, 2009, BMC Bioinformatics.

Strategies for structuring interdisciplinary education in Systems Biology: an European perspective

Daniela Besozzi, Marija Cvijovic, Anders Blomberg, 2016, npj Systems Biology and Applications.

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

Pasquale Palumbo, Federico Papa, Bas Teusink, 2017, WIVACE.

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

Giancarlo Mauri, Marco S. Nobile, Paolo Cazzaniga, 2019, Bioinform..

Design principles of ROS dynamic networks relevant to precision therapies for age-related diseases

Hans V. Westerhoff, Danyel G. J. Jennen, Rudi Balling, 2019, bioRxiv.

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

Edda Klipp, Matteo Barberis, Lilia Alberghina, 2007, PLoS Comput. Biol..

Modeling Controls and Variability of the Cell Cycle

Lilia Alberghina, Luigi Mariani, Enzo Martegani, 1985 .

Glucose Signaling-Mediated Coordination of Cell Growth and Cell Cycle in Saccharomyces Cerevisiae

Lilia Alberghina, Marco Vanoni, Stefano Busti, 2010, Sensors.

Qualitative behavior of a coarse-grain growth model

Federico Papa, Pasquale Palumbo, Lilia Alberghina, 2019, 2019 IEEE 23rd International Conference on Intelligent Engineering Systems (INES).

Networks and circuits in cell regulation.

Gabriella Mavelli, Pasquale Palumbo, Lorenzo Farina, 2010, Biochemical and biophysical research communications.

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

Giancarlo Mauri, Riccardo Colombo, Dario Pescini, 2014, Natural Computing.

Systems Biology: necessary developments and trends.

Hans V. Westerhoff, Stefan Hohmann, Lilia Alberghina, 2005 .

Comparing Alzheimer’s and Parkinson’s diseases networks using graph communities structure

Alberto Calderone, Paola Bertolazzi, Lilia Alberghina, 2016, BMC Systems Biology.

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

Giancarlo Mauri, Riccardo Colombo, Dario Pescini, 2013, WIVACE.

Mathematical modeling of DNA replication

Thomas Hoefer, Lilia Alberghina, Carlos Salazar, 2010 .

A coarse-grain model of growth and cell cycle in Saccharomyces cerevisiae: a mathematical analysis

Pasquale Palumbo, Lilia Alberghina, Federico Papa, 2019 .

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

Elena Papaleo, Lilia Alberghina, Piercarlo Fantucci, 2011, PLoS Comput. Biol..

Systems biology for biotechnological innovation.

Lilia Alberghina, 2009, Journal of biotechnology.

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

Edda Klipp, Luciano Milanesi, Matteo Barberis, 2009, BMC Bioinformatics.

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

Costanzo Manes, Pasquale Palumbo, Valerio Cusimano, 2018, IEEE Control Systems Letters.

Protein engineering in industrial biotechnology

Lilia Alberghina, L. Alberghina, 2000 .

Single-cell Digital Twins for Cancer Preclinical Investigation.

Giancarlo Mauri, Chiara Damiani, Davide Maspero, 2020, Methods in molecular biology.

Computational Strategies for a System-Level Understanding of Metabolism

Marco S. Nobile, Riccardo Colombo, Dario Pescini, 2014, Metabolites.

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

Giancarlo Mauri, Hans V. Westerhoff, Chiara Damiani, 2019, PLoS Comput. Biol..

Systems metabolomics: from metabolomic snapshots to design principles.

Chiara Damiani, Lilia Alberghina, Marco Vanoni, 2020, Current opinion in biotechnology.

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

Giancarlo Mauri, Riccardo Colombo, Chiara Damiani, 2016, Comput. Biol. Chem..

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

Lilia Alberghina, Carlos Salazar, Thomas Höfer, 2010, PLoS Comput. Biol..

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

Giancarlo Mauri, Riccardo Colombo, Hans V. Westerhoff, 2017, PLoS Comput. Biol..

Whole yeast model: what and why

Pasquale Palumbo, Federico Papa, Lilia Alberghina, 2018, PeerJ Prepr..

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

Giancarlo Mauri, Boris Campillo-Gimenez, Marc Cuggia, 2021, BMC Medical Informatics and Decision Making.

The cold-active lipase of Pseudomonas fragi. Heterologous expression, biochemical characterization and molecular modeling.

Lilia Alberghina, Piercarlo Fantucci, Marina Lotti, 2002, European journal of biochemistry.

The CK2 phosphorylation of catalytic domain of Cdc34 modulates its activity at the G1 to S transition in Saccharomyces cerevisiae

Lilia Alberghina, Marco Vanoni, Gabriella Tedeschi, 2008, Cell cycle.

Whi5 phosphorylation embedded in the G1/S network dynamically controls critical cell size and cell fate

Costanzo Manes, Pasquale Palumbo, Valerio Cusimano, 2016, Nature Communications.

The yeast cyclin-dependent kinase inhibitor Sic1 and mammalian p27Kip1 are functional homologues with a structurally conserved inhibitory domain.

Matteo Barberis, Lilia Alberghina, Piercarlo Fantucci, 2005, The Biochemical journal.

Control by Nutrients of Growth and Cell Cycle Progression in Budding Yeast, Analyzed by Double-Tag Flow Cytometry

Lilia Alberghina, L. Alberghina, D. Porro, 1998, Journal of bacteriology.

Molecular Systems Biology Peer Review Process File Oncogenic K-ras Decouples Glucose and Glutamine Metabolism to Support Cancer Cell Growth Transaction Report

Gregory Stephanopoulos, Lilia Alberghina, Karsten Hiller, 2022 .

Structured segregated models and analysis of self-oscillating yeast continuous cultures

Lilia Alberghina, Luigi Mariani, Enzo Martegani, 1990 .

Systems Biology: Did we know it all along?

Hans V. Westerhoff, Lilia Alberghina, L. Alberghina, 2005 .

CK2 regulates in vitro the activity of the yeast cyclin-dependent kinase inhibitor Sic1.

Matteo Barberis, Lilia Alberghina, Marco Vanoni, 2005, Biochemical and biophysical research communications.

Analysis and modeling of growing budding yeast populations at the single cell level

Lilia Alberghina, Marco Vanoni, Christos Hatzis, 2009, Cytometry. Part A : the journal of the International Society for Analytical Cytology.

Rapamycin‐mediated G1 arrest involves regulation of the Cdk inhibitor Sic1 in Saccharomyces cerevisiae

Lilia Alberghina, Marco Vanoni, Vittoria Zinzalla, 2007, Molecular microbiology.

Cell growth and cell cycle in Saccharomyces cerevisiae: basic regulatory design and protein-protein interaction network.

Gabriella Mavelli, Pasquale Palumbo, Lilia Alberghina, 2012, Biotechnology advances.

Expression of transforming K-Ras oncogene affects mitochondrial function and morphology in mouse fibroblasts.

Lilia Alberghina, Marco Vanoni, Ferdinando Chiaradonna, 2006, Biochimica et biophysica acta.

Timing control in regulatory networks by multisite protein modifications.

Lilia Alberghina, Thomas Höfer, Carlos Salazar, 2010, Trends in cell biology.

Systems Biology and the Molecular Circuits of Cancer

Lilia Alberghina, Marco Vanoni, Ferdinando Chiaradonna, 2004, Chembiochem : a European journal of chemical biology.

Protein Kinase A Activation Promotes Cancer Cell Resistance to Glucose Starvation and Anoikis

Yuri Pirola, Raffaella Rizzi, Lilia Alberghina, 2016, PLoS genetics.

A modular systems biology analysis of cell cycle entrance into S-phase

Lilia Alberghina, Marco Vanoni, Riccardo L. Rossi, 2005 .

SFP1 is involved in cell size modulation in respiro‐fermentative growth conditions

Lilia Alberghina, L. Alberghina, D. Porro, 2005, Yeast.

ANALYSIS OF PROTEIN DISTRIBUTION IN POPULATIONS OF BUDDING YEAST BASED ON A STRUCTURED MODEL OF CELL GROWTH

Lilia Alberghina, Luigi Mariani, Enzo Martegani, 1983 .

Glutamine Deprivation Induces Abortive S-Phase Rescued by Deoxyribonucleotides in K-Ras Transformed Fibroblasts

Lilia Alberghina, Marco Vanoni, Ferdinando Chiaradonna, 2009, PloS one.

A cell sizer network involving Cln3 and Far1 controls entrance into S phase in the mitotic cycle of budding yeast

Lilia Alberghina, Marco Vanoni, Riccardo L. Rossi, 2004, The Journal of cell biology.

Subcellular Localization of the Cyclin Dependent Kinase Inhibitor Sic1 is Modulated by the Carbon Source in Budding Yeast

Lilia Alberghina, Marco Vanoni, Riccardo L Rossi, 2005, Cell cycle.

Overexpression of Far1, a cyclin-dependent kinase inhibitor, induces a large transcriptional reprogramming in which RNA synthesis senses Far1 in a Sfp1-mediated way.

Gabriella Mavelli, Giovanni Felici, Paola Bertolazzi, 2012, Biotechnology advances.

The modular systems biology approach to investigate the control of apoptosis in Alzheimer's disease neurodegeneration

Lilia Alberghina, Anna Maria Colangelo, L. Alberghina, 2006, BMC Neuroscience.

Yeast population models for monitoring and control of biotechnical processes

Lilia Alberghina, Luigi Mariani, Enzo Martegani, 1986 .

Molecular networks and system-level properties.

Lilia Alberghina, Marco Vanoni, Thomas Höfer, 2009, Journal of biotechnology.

Replacement of a Metabolic Pathway for Large-Scale Production of Lactic Acid from Engineered Yeasts

Lilia Alberghina, Chi-Li Liu, Luca Brambilla, 1999, Applied and Environmental Microbiology.

Catalytic competence of the Ras–GEF domain of hSos1 requires intra‐REM domain interactions mediated by Phenylalanine 577

Lilia Alberghina, Marco Vanoni, Stefano Busti, 2006, FEBS letters.

Comparative analysis of the molecular mechanisms controlling the initiation of chromosomal DNA replication in yeast and in mammalian cells.

Lilia Alberghina, Md Mehedi Hasan, Marco Vanoni, 2012, Biotechnology advances.

Towards a blueprint of the cell cycle

Lilia Alberghina, L. Alberghina, D. Porro, 2001, Oncogene.

Compaction properties of an intrinsically disordered protein: Sic1 and its kinase-inhibitor domain.

Elena Papaleo, Lilia Alberghina, Rita Grandori, 2011, Biophysical journal.

Order propensity of an intrinsically disordered protein, the cyclin‐dependent‐kinase inhibitor Sic1

Lilia Alberghina, Vladimir N Uversky, Rita Grandori, 2009, Proteins.

Integration of single-cell RNA-seq data into metabolic models to characterize tumour cell populations

Giancarlo Mauri, Davide Maspero, Marzia Di Filippo, 2018, bioRxiv.