Author

Amy F. A. Keerie

University of SheffieldORCID 0000-0001-9389-3802Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Organism:human· 2 Organism:mouse· 2 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Assay:electronic health records· 1 Assay:protein structure· 1

Frequent Co-Authors

Richard J. MeadiD· 2 shared Tyler R. WellsiD· 2 shared Allan Christian ShawiD· 1 shared Anne Phelan· 1 shared Chloe F. AlleniD· 1 shared Daniel P. SmithiD· 1 shared David W. SheppardiD· 1 shared Heledd Brown-WrightiD· 1 shared

Activity by Year

2024-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 38 mutual co-author links

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2 shared papersNeuroscience

Richard J. MeadORCID

Mutual co-authors in cluster

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2 papers

Recent·Most cited

NeurosciencebioRxivPreprintMar 6, 2025

Artificial intelligence-augmented drug discovery identifies gefitinib as a potential treatment for ALS

Monika A. Myszczynska, Matthew J. Stopford, Nóra M. Márkus…·Laura Ferraiuolo

This paper uses AI to identify gefitinib as a potential ALS treatment, showing it protects motor neurons and reduces TDP-43 fragments in vitro and in vivo.

2 citations

humanmouse

𝕏 PostBluesky

NeurosciencebioRxivPreprintMay 9, 2024

Maximising the translational potential of neurophysiology in amyotrophic lateral sclerosis: a study on compound muscle action potentials

Scott McKinnon, Zekai Qiang, Amy F. A. Keerie…·Richard J. Mead

This study compares compound muscle action potentials (CMAPs) in SOD1G93A mice and human ALS patients to identify translational alignment points for disease progression.

DOI 10.1101/2024.05.09.593349

mousehuman

𝕏 PostBluesky