G. Menichetti

发表

Network integration of multi-tumour omics data suggests novel targeting strategies

Giulia Menichetti, Gastone Castellani, Daniel Remondini, 2017, bioRxiv.

Correlations between weights and overlap in ensembles of weighted multiplex networks.

G. Bianconi, D. Remondini, G. Menichetti, 2014, Physical review. E, Statistical, nonlinear, and soft matter physics.

Network measures for protein folding state discrimination

P. Fariselli, D. Remondini, G. Menichetti, 2015, Scientific Reports.

A systematic comprehensive longitudinal evaluation of dietary factors associated with acute myocardial infarction and fatal coronary heart disease

A. Barabasi, W. Willett, J. Loscalzo, 2020, Nature Communications.

AI-Bind: Improving Binding Predictions for Novel Protein Targets and Ligands

Rose Yu, A. Barab'asi, Ayan Chatterjee, 2021, ArXiv.

Systems medicine of inflammaging

Pietro Liò, Luciano Milanesi, Enrico Giampieri, 2015, Briefings Bioinform..

Entropy-Based Network Representation of the Individual Metabolic Phenotype.

L. Tenori, C. Luchinat, D. Remondini, 2016, Journal of proteome research.

D ec 2 01 3 Weighted Multiplex Networks

G. Bianconi, P. Panzarasa, D. Remondini, 2018 .

Nutrient concentrations in food display universal behaviour

A. Barabasi, G. Menichetti, A. Barabási, 2022, Nature Food.

Network Entropy measures applied to different systemic perturbations of cell basal state

G. Castellani, G. Bianconi, D. Remondini, 2013, 1305.5369.

Publisher Correction: The unmapped chemical complexity of our diet

Albert-László Barabási, Joseph Loscalzo, Giulia Menichetti, 2020 .

The fidelity of genetic information transfer with aging segregates according to biological processes

A. Mugler, F. Ambrosio, G. Menichetti, 2022, bioRxiv.

Identification of potent inhibitors of SARS-CoV-2 infection by combined pharmacological evaluation and cellular network prioritization

A. Barabasi, S. Elledge, M. Zitnik, 2022, iScience.

AI-Bind: Improving Binding Predictions for Novel Protein Targets and Ligands

Rose Yu, A. Barab'asi, Ayan Chatterjee, 2021, ArXiv.

The unmapped chemical complexity of our diet

Albert-László Barabási, Joseph Loscalzo, Giulia Menichetti, 2019, Nature Food.

Genomics-based annotations help unveil the molecular composition of edible plants

A. Barabasi, G. Menichetti, Shany Ofaim, 2022 .

Weighted Multiplex Networks

Ginestra Bianconi, Giulia Menichetti, Daniel Remondini, 2013, PloS one.

Emergent Complex Network Geometry

Ginestra Bianconi, Giulia Menichetti, Zhihao Wu, 2014, Scientific Reports.

Machine Learning Prediction of Food Processing

D. Mozaffarian, A. Barabási, G. Menichetti, 2021, medRxiv.

Identification of druggable host targets needed for SARS-CoV-2 infection by combined pharmacological evaluation and cellular network directed prioritization both in vitro and in vivo

A. Barabasi, S. Elledge, M. Zitnik, 2022, bioRxiv.

Multiscale characterization of ageing and cancer progression by a novel network entropy measure.

Enrico Giampieri, Ginestra Bianconi, Giulia Menichetti, 2015, Molecular bioSystems.

Node Centrality Measures Identify Relevant Structural MRI Features of Subjects with Autism

G. Castellani, A. Retico, S. Calderoni, 2021, Brain sciences.

Control of Multilayer Networks

Ginestra Bianconi, Giulia Menichetti, Luca Dall'Asta, 2015, Scientific Reports.

Two-Step Optimization of Envelope Design for the Reduction of Building Energy Demand

G. Menichetti, A. Barbaresi, P. Tassinari, 2019 .

Identification of druggable host targets needed for SARS-CoV-2 infection by combined pharmacological evaluation and cellular network directed prioritization both in vitro and in vivo

A. Barabasi, M. Zitnik, J. Loscalzo, 2021, bioRxiv.

Statistical strategies and stochastic predictive models for the MARK-AGE data

Enrico Giampieri, Giulia Menichetti, Gastone Castellani, 2015, Mechanisms of Ageing and Development.

Network controllability is determined by the density of low in-degree and out-degree nodes.

Ginestra Bianconi, Giulia Menichetti, Luca Dall'Asta, 2014, Physical review letters.

Network-based strategies for protein characterization.

E. Capriotti, P. Fariselli, D. Remondini, 2021, Advances in protein chemistry and structural biology.

Disentangling Node Attributes from Graph Topology for Improved Generalizability in Link Prediction

Tina Eliassi-Rad, G. Menichetti, R. Walters, 2023, ArXiv.

Improving the generalizability of protein-ligand binding predictions with AI-Bind

G. Menichetti, R. Walters, Zohair Shafi, 2023, Nature Communications.

Exploring food contents in scientific literature with FoodMine

Albert-László Barabási, Giulia Menichetti, Forrest Hooton, 2019, Scientific Reports.

AI-Bind: Improving Binding Predictions for Novel Protein Targets and Ligands

Rose Yu, A. Barab'asi, Ayan Chatterjee, 2021, ArXiv.