Author

Irina Morozova

École Polytechnique Fédérale de Lausanne

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

Biology Disciplines

Click to filter author papers

Bioinformatics· 2

Signature Assays, Organisms & Methods

Click to filter · or open tag

Research Focus:drug response / drug discovery· 2 Approach:contrastive learning· 1 Approach:deep learning· 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

Arne SchneuingiD· 2 shared Bruno E. CorreiaiD· 2 shared David Robin Pavel Iosub· 2 shared Davide M. FerrarisiD· 2 shared Evgenia ElizarovaiD· 2 shared Ilia IgashoviD· 2 shared Michael M. BronsteiniD· 2 shared Olivia GamppiD· 2 shared

Activity by Year

2025-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

2 shared papersBioinformatics

Arne SchneuingORCID

Mutual co-authors in cluster

Author profile →

2 papers

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

FragmentScope - exploring the fragment space with learned surface representations

Evgenia Elizarova, Irina Morozova, Ilia Igashov, Olivia Gampp, David Robin Pavel Iosub, Arne Schneuing, Kelvin Lau, Davide M. Ferraris, Florence Pojer, Roland Riek, Michael M. Bronstein, Bruno E. Correia

FragmentScope uses learned protein surface representations to guide fragment placement and small molecule design, achieving accurate placement and promising lead compounds.

bioRxiv · Dec 18, 2025 · PreprintBioinformatics