Author

Olivia Gampp

ETH ZurichORCID 0009-0004-8130-6825Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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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 Irina Morozova· 2 shared Michael M. BronsteiniD· 2 shared

Activity by Year

2025-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersBioinformatics

Arne SchneuingORCID

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintSep 18, 2026

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

Ilia Igashov, Arne Schneuing, Adrian W. Dobbelstein…·Bruno E. Correia

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

DOI 10.64898/2026.09.15.751537

protein structuredeep learning

𝕏 PostBluesky

BioinformaticsbioRxivPreprintDec 18, 2025

FragmentScope - exploring the fragment space with learned surface representations

Evgenia Elizarova, Irina Morozova, Ilia Igashov…·Bruno E. Correia

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

DOI 10.64898/2025.12.16.694391

contrastive learningdrug response / drug discovery

𝕏 PostBluesky