Author

Deborah Barker

University of LeedsORCID 0009-0004-5470-7359Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Microbiology· 1

Signature Assays, Organisms & Methods

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Research Focus:drug response / drug discovery· 1 Approach:machine learning (classical)· 1 Approach:statistical model· 1

Frequent Co-Authors

Lena DalaliD· 1 shared Nicholas J. WarreniD· 1 shared Olivier J. CayreiD· 1 shared Sébastien PerrieriD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

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4 top collaborators · 6 mutual co-author links

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1 shared paperMicrobiology

Lena DalalORCID

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1 paper

Recent·Most cited

MicrobiologyACS Polymers AuPeer-reviewedApr 27, 2026

Potentials of Machine Learning in Predicting Key Features of Synthetic Antimicrobial Polymers (SAMPs)

Lena Dalal, Deborah Barker, Nicholas J. Warren…·Sébastien Perrier

This study uses machine learning to predict the potency and toxicity of synthetic antimicrobial polymers by analyzing structure-activity relationships.

2 citations

machine learning (classical)statistical model

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