Author

Berke Uçar

University of British ColumbiaORCID 0000-0002-9525-1085Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Approach:graph neural network· 1 Approach:machine learning (classical)· 1 Assay:metagenomics· 1 Assay:proteomics· 1

Frequent Co-Authors

Ali SalehiiD· 1 shared Anat YanaiiD· 1 shared Caren C. HelbingiD· 1 shared Darcy SutherlandiD· 1 shared Emre Demirsoy· 1 shared İnanç BiroliD· 1 shared Lauren CoombeiD· 1 shared René L. WarreniD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

Co-Author Collaboration Network

9 top collaborators · 36 mutual co-author links

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1 shared paperBioinformatics

Ali SalehiORCID

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1 paper

Recent·Most cited

Pathogen-specific antimicrobial activity prediction with biological large language model-based methods

Berke Uçar, Emre Demirsoy, Ali Salehi, Darcy Sutherland, Anat Yanai, Lauren Coombe, Vanessa C. Thompson, René L. Warren, Caren C. Helbing, İnanç Birol

The paper introduces triAMPh, a framework for predicting pathogen-specific antimicrobial peptide activity using biological large language models, showing it matches or outperforms existing methods.

bioRxiv · May 26, 2026 · PreprintBioinformatics