Author

Aaron S. Petruzzella

École Polytechnique Fédérale de LausanneORCID 0000-0002-7616-2271Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Research Focus:perturbation response prediction· 1 Assay:protein structure· 1 Research Focus:sequence-to-function modeling· 1 Research Focus:software / tool· 1 Approach:statistical model· 1

Frequent Co-Authors

Adrian W. DobbelsteiniD· 1 shared Ana R. Lemos· 1 shared Arne SchneuingiD· 1 shared Artem Y. LyubimoviD· 1 shared Bruno E. CorreiaiD· 1 shared David Robin Pavel Iosub· 1 shared Davide M. FerrarisiD· 1 shared Evgenia ElizarovaiD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperBioinformatics

Adrian W. DobbelsteinORCID

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1 paper

Recent·Most cited

A Unified 3D Generative Model for Synthesizable Structure-Based Drug Design

Ilia Igashov, Arne Schneuing, Adrian W. Dobbelstein, Irina Morozova, Rebecca M. Neeser, Kara Zielinski, Luciano A. Abriata, Aaron S. Petruzzella, David Robin Pavel Iosub, Olivia Gampp, Artem Y. Lyubimov, Evgenia Elizarova, Isabella Ferrara, Pedro M. F. Sousa, Ana R. Lemos, , Bruno E. Correia

This paper introduces LDDM, a generative model for drug design that produces synthetically accessible compounds validated experimentally for five protein targets.

bioRxiv · Sep 18, 2026 · PreprintBioinformatics