Author

Gabriele Tazza

University of SzegedORCID 0000-0001-5263-2278Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Systems Biology· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 1 Organism:E. coli· 1 Assay:metabolomics· 1 Research Focus:variant effect prediction· 1

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Bas TeusinkiD· 1 shared Dario RuggeriiD· 1 shared Francesco MoroiD· 1 shared László VidácsiD· 1 shared

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2025-2025 · peak 1/yr

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4 top collaborators · 6 mutual co-author links

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1 shared paperSystems Biology

Bas TeusinkORCID

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1 paper

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Systems BiologyComputational and Structural Biotechnology JournalPeer-reviewedJan 1, 2025

MINN: A METABOLIC-INFORMED NEURAL NETWORK FOR INTEGRATING OMICS DATA INTO GENOME-SCALE METABOLIC MODELING

Gabriele Tazza, Francesco Moro, Dario Ruggeri…·László Vidács

This study introduces MINN, a metabolic-informed neural network that integrates multi-omics data to predict metabolic fluxes in E. coli, outperforming pure ML and pFBA methods.

13 citationstop 5%

E. colimetabolomics

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