Author

Douglas W. Selinger

Cambridge CollegeORCID 0009-0005-3031-0856Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2 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:experimental assay· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1 Assay:imaging· 1 Approach:large language model· 1

Frequent Co-Authors

Jedidiah GaetziD· 3 shared Ehab M. KhaliliD· 2 shared Adriana BorowaiD· 1 shared Agata Zaremba· 1 shared Alán F MuñoziD· 1 shared Alexandr A. KalininiD· 1 shared Amandine Thibaudeau· 1 shared Amélie Weiss· 1 shared

Activity by Year

2024-2025 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 37 mutual co-author links

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3 shared papersBioinformatics

Jedidiah GaetzORCID

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3 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

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BioinformaticsNature MethodsPeer-reviewedAug 1, 2025

Morphological map of under- and over-expression of genes in human cells

Srinivas Niranj Chandrasekaran, Eric Alix, John Arévalo…·Anne Elizabeth Carpenter

The paper presents a comprehensive genetic perturbation dataset using Cell Painting to analyze gene expression effects in human cells, revealing novel gene clusters and functional relationships.

17 citationstop 3%

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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

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