Institutions: University of Milano-Bicocca
I am a PostDoc working on yeast metabolomics. During my PhD I studied the interplay between metabolism, cell cycle and signalling, mainly focusing on the Snf1/AMPK pathway. I am currently interested in studying metabolic rewiring caused by different nutrients, generating high-throughput data suitable for modelling.
Projects that do not fall under current programmes.
Projects: Manchester Institute for Biotechnology, ICYSB 2015 - International Practical Course in Systems Biology, iRhythmics, INBioPharm, EmPowerPutida, Systo models, MycoSynVac - Engineering Mycoplasma pneumoniae as a broad-spectrum animal vaccine, Multiscale modelling of state transitions in the host-microbiome-brain network, Extremophiles metabolsim, NAD COMPARTMENTATION, Agro-ecological modelling, Bergen(Ziegler lab) project AF-NADase, NAMPT affinity, Stress granules, Modelling COVID-19 epidemics, Bio-crop, ORHIZON, Coastal Data, SASKit: Senescence-Associated Systems diagnostics Kit for cancer and stroke, hybrid sequencing, HOST-PAR, BioCreative VII, Boolean modeling of Parkinson disease map, Orphan cytochrome P450 20a1 CRISPR/Cas9 mutants and neurobehavioral phenotypes in zebrafish, Selective Destruction in Ageing, Viral Metagenomic, Synthetic biology in Synechococcus for bioeconomy applications (SynEco), testproject, SDBV ephemeral data exchanges, Test project, The BeeProject, PHENET, LiceVault, EbN1 Systems Biology
Web page: Not specified
The Integrated Platform for Endocrine Disruptor Risk Assessment (SNAPPER) project will propose solutions based around three core philosophies: Integrated Science: Integration of knowledge from a complete pipeline of systems biology into a holistic yet mechanistic framework that enhances the understanding both of endocrine biology and of adverse effects due to externally induced disruption of the body’s endocrine system. The pipeline includes in vivo, in vitro, and in silico data resulting both ...
Programme: This Project is not associated with a Programme
Public web page: Not specified
Organisms: Homo sapiens
Systems Biology studies the properties and phenotypes that emerge from the interaction of biomolecules where such properties are not obvious from those of the individual molecules. By connecting fields such as genomics, proteomics, bioinformatics, mathematics, cell biology, genetics, mathematics, engineering and computer sciences, Systems Biology enables discovery of yet unknown principles underlying the functioning of living cells. At the same time, testable and predictive models of complex ...