Author

Emilio Benfenati

Mario Negri Institute for Pharmacological ResearchORCID 0000-0002-3976-5989Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Pharmacology & Toxicology· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Approach:graph neural network· 1

Frequent Co-Authors

Alexander D. KalianiD· 1 shared Arthur C. SilvaiD· 1 shared Christer HögstrandiD· 1 shared Claire PotteriD· 1 shared J.L.C.M. DorneiD· 1 shared Jaewook Lee· 1 shared Miao GuoiD· 1 shared Olivia J. OsborneiD· 1 shared

Activity by Year

2025-2025 · peak 1/yr

Co-Author Collaboration Network

8 top collaborators · 28 mutual co-author links

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1 shared paperPharmacology & Toxicology

Alexander D. KalianORCID

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1 paper

Recent·Most cited

Predicting Organ-Specific Toxicity of Selective Androgen Receptor Modulators, using Transfer Learning on Graph Convolutional Networks

Alexander D. Kalian, Arthur C. Silva, Jaewook Lee, J.L.C.M. Dorne, Claire Potter, Emilio Benfenati, Olivia J. Osborne, Miao Guo, Christer Högstrand

This paper develops GCN-based QSAR models to predict toxicity of SARMs, finding mixed success with transfer learning and moderate accuracy in predicting DILI, DIRI, and DICT.

bioRxiv · Aug 27, 2025 · PreprintPharmacology & Toxicology