Author

E. Rodola

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Immunology· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 1 Approach:genetic perturbation / CRISPR· 1 Assay:protein structure· 1 Research Focus:protein structure prediction· 1

Frequent Co-Authors

A. Deac· 1 shared C. Domine· 1 shared M. Pegoraro· 1 shared P. Velickovic· 1 shared

Activity by Year

2023-2023 · peak 1/yr

Co-Author Collaboration Network

4 top collaborators · 6 mutual co-author links

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1 shared paperImmunology

A. Deac

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1 paper

Recent·Most cited

Geometric Epitope and Paratope Prediction

M. Pegoraro, C. Domine, E. Rodola, P. Velickovic, A. Deac

This paper predicts antibody-antigen binding sites using geometric deep learning methods, finding that surface-based models outperform others and achieving state-of-the-art results.

bioRxiv · Jun 29, 2023 · PreprintImmunology