Author

Jure Fabjan

ORCID 0000-0002-9089-3871Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Research Focus:drug response / drug discovery· 1 Approach:experimental assay· 1 Organism:human· 1 Assay:metagenomics· 1 Assay:proteomics· 1

Frequent Co-Authors

Claire Pecoraro-Mercier· 1 shared David RouquiéiD· 1 shared Djork-Arné ClevertiD· 1 shared Joanna M. WendaiD· 1 shared Joerg WichardiD· 1 shared Oscar Méndez‐LucioiD· 1 shared Paula Andrea Marin ZapataiD· 1 shared

Activity by Year

2025-2025 · peak 1/yr

Co-Author Collaboration Network

7 top collaborators · 21 mutual co-author links

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1 shared paperPharmacology & Toxicology

Claire Pecoraro-Mercier

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1 paper

Recent·Most cited

Large-scale experimental validation of phenotype-guided generative AI for de novo drug discovery

Jure Fabjan, Joanna M. Wenda, Claire Pecoraro-Mercier, Paula Andrea Marin Zapata, Joerg Wichard, Djork-Arné Clevert, Oscar Méndez‐Lucio, David Rouquié

The paper validates a generative AI model using experimental assays to design small molecule drugs targeting specific cancer-related phenotypes, showing 88% morphological impact and 37% transcriptomic pathway effects.

bioRxiv · Sep 13, 2025 · PreprintPharmacology & Toxicology