Author

D. Scheibe

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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Cell Biology· 1 Pharmacology & Toxicology· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Research Focus:drug response / drug discovery· 2 Organism:human· 2 Assay:bulk RNA-seq· 1 Approach:machine learning (classical)· 1 Assay:proteomics· 1 Approach:statistical model· 1

Frequent Co-Authors

A. A. Kalinin· 1 shared A. E. Carpenter· 1 shared A. Gounder· 1 shared D. Nguyen· 1 shared I. Icke· 1 shared J. Cheng· 1 shared J. Hunter· 1 shared J. Kenniston· 1 shared

Activity by Year

2022-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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1 shared paperPharmacology & Toxicology

A. A. Kalinin

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2 papers

Recent·Most cited

Identification of small molecule agonists of fetal hemoglobin expression for the treatment of sickle cell disease

J.-P. Yang, R. Toughiri, A. Gounder, D. Scheibe, M. Petrus, S. Fink, S. Vallee, S. Langston, J. Kenniston, N. Papaioannou, N. Gavva, S. Horman

This study identifies small molecule agonists of fetal hemoglobin expression using a reporter cell line, finding novel inducers and confirming mechanisms of action for known compounds.

bioRxiv · Jul 1, 2024Cell Biology

Integrating inflammatory biomarker analysis and artificial intelligence-enabled image-based profiling to identify drug targets for intestinal fibrosis

S. Yu, A. A. Kalinin, M. D. Paraskevopoulou, M. Maruggi, J. Cheng, J. Tang, I. Icke, Y. Luo, Q. Wei, D. Scheibe, J. Hunter, S. Singh, D. Nguyen, A. E. Carpenter, S. R. Horman

The paper identifies potential drug targets for intestinal fibrosis by combining image-based morphology analysis with AI and inflammatory biomarker measurements.

bioRxiv · Jun 8, 2022Pharmacology & Toxicology