Author

Gabriele Ausiello

University of Rome Tor VergataORCID 0000-0002-8075-5774Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Approach:deep learning· 1 Assay:DNA methylation· 1 Assay:protein sequence· 1 Assay:protein structure· 1 Research Focus:protein structure prediction· 1 Approach:statistical model· 1

Frequent Co-Authors

Alessandro GrottesiiD· 1 shared Alessandro PaiardiniiD· 1 shared Claire D. McWhiteiD· 1 shared Gerardo PepeiD· 1 shared Giacomo JansoniD· 1 shared Giorgio GambosiiD· 1 shared Giulia GuarguagliniiD· 1 shared Marco PietrosantoiD· 1 shared

Activity by Year

2019-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 20 mutual co-author links

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1 shared paperBioinformatics

Alessandro GrottesiORCID

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2 papers

Recent·Most cited

Cross-Attention Over RNA And Protein Sequences Enables Generalizable Interaction Prediction

Mario Catalano, Gerardo Pepe, Gabriele Ausiello, Romina Appierdo, Claire D. McWhite, Giorgio Gambosi, Mauro Helmer Citterich, Pier Federico Gherardini

The paper introduces CORAL, a deep learning framework for RNA-protein interaction prediction that improves generalization and interpretability through cross-attention mechanisms.

bioRxiv · Jul 31, 2026 · PreprintBioinformatics

Revisiting the \"satisfaction of spatial restraints\" approach of MODELLER for protein homology modeling

Giacomo Janson, Alessandro Grottesi, Marco Pietrosanto, Gabriele Ausiello, Giulia Guarguaglini, Alessandro Paiardini

This paper improves MODELLER's 3D protein modeling by modifying its estimation of structural divergence and incorporating statistical potentials, enhancing prediction accuracy.

PLoS Computational Biology · Dec 17, 2019Peer-reviewedBioinformatics