Author

Claire Pecoraro-Mercier

Bayer (France)

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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Pharmacology & Toxicology· 2

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 2 Approach:deep learning· 2 Research Focus:drug response / drug discovery· 2 Assay:metagenomics· 2 Assay:proteomics· 2 Research Focus:differential expression· 1 Approach:experimental assay· 1 Organism:human· 1

Frequent Co-Authors

David RouquiéiD· 2 shared Joanna M. WendaiD· 2 shared Djork-Arné ClevertiD· 1 shared Fabrice Camilleri· 1 shared Jean‐Paul CometiD· 1 shared Joerg WichardiD· 1 shared Jure FabjaniD· 1 shared Oscar Méndez‐LucioiD· 1 shared

Activity by Year

2024-2025 · peak 1/yr

Co-Author Collaboration Network

9 top collaborators · 26 mutual co-author links

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2 shared papersPharmacology & Toxicology

David RouquiéORCID

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2 papers

Recent·Most cited

Pharmacology & ToxicologybioRxivPreprintSep 13, 2025

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

Jure Fabjan, Joanna M. Wenda, Claire Pecoraro-Mercier…·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.

DOI 10.1101/2025.09.13.676062

humanproteomics

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Pharmacology & ToxicologyChemical Research in ToxicologyPeer-reviewedNov 8, 2024

Cell Painting and chemical structure read-across can complement each other for rat acute oral toxicity prediction in chemical early de-risking

Fabrice Camilleri, Joanna M. Wenda, Claire Pecoraro-Mercier…·David Rouquié

The paper evaluates read-across methods for predicting rat acute oral toxicity using chemical structure and Cell Painting data, finding chemical structure is more predictive for similar compounds while morphology is better for dissimilar ones.

11 citations

ratproteomics

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