Author

Ehab M. Khalil

Cambridge CollegeORCID 0000-0003-4266-1483Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Pharmacology & Toxicology· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Research Focus:drug response / drug discovery· 2 Assay:bulk RNA-seq· 1 Approach:large language model· 1 Organism:mouse· 1

Frequent Co-Authors

Douglas W. SelingeriD· 2 shared Jedidiah GaetziD· 2 shared Eleni S. Stylianou· 1 shared Ilya KovalenkoiD· 1 shared Jesse W. WotringiD· 1 shared Jonathan Z. SextoniD· 1 shared Kathryn M. HoegemaniD· 1 shared Martin C. ClasbyiD· 1 shared

Activity by Year

2024-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 33 mutual co-author links

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2 shared papersPharmacology & Toxicology

Douglas W. SelingerORCID

Mutual co-authors in cluster

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2 papers

Recent·Most cited

Pharmacology & ToxicologybioRxivPreprintDec 25, 2025

Phenotypic Screening Coupled with AI-Driven Target Deconvolution Identifies α-Terthienyl as a Dual DPP-IV/HSD17β13 Modulator with Efficacy in a Mouse Model of MASLD

Kathryn M. Hoegeman, Jesse W. Wotring, Reid M. Fursmidt…·Jonathan Z. Sexton

1 citation

mousebulk RNA-seq

𝕏 PostBluesky

BioinformaticsbioRxivPreprintDec 17, 2024

A Framework for Autonomous AI-Driven Drug Discovery

Douglas W. Selinger, Timothy R. Wall, Eleni S. Stylianou…·Oren Levy

This paper introduces an AI-driven drug discovery framework that integrates knowledge graphs and large language models to automate and scale drug discovery processes.

5 citations

deep learninglarge language model

𝕏 PostBluesky