Author

Anat Yanai

BC Cancer AgencyORCID 0000-0002-0792-6901Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:drug response / drug discovery· 2 Assay:proteomics· 2 Organism:chicken / avian· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Approach:experimental assay· 1 Approach:graph neural network· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Caren C. HelbingiD· 3 shared İnanç BiroliD· 3 shared René L. WarreniD· 3 shared Ali SalehiiD· 2 shared Darcy SutherlandiD· 2 shared Emre Demirsoy· 2 shared Lauren CoombeiD· 2 shared Linda HoangiD· 2 shared

Activity by Year

2025-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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3 shared papersBioinformatics

Caren C. HelbingORCID

Mutual co-authors in cluster

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3 papers

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

Efficacy and safety evaluation of artificial intelligence-identified antimicrobial peptides for use against avian pathogenic Escherichia coli in the poultry industry

Emre Demirsoy, Teagan I Parkin, Shaeleen E Mihalynuk, Anna H. Dema, Lorissa M. Corrie, Marika E Heilker, Haley N. Kuecks-Winger, Anat Yanai, Uluc B Birol, Michael McIlwee, Kay de Wet, Mathijs Knipscheer, Victoria Bowes, Vanessa Tuytel, Liam Ritchie, , İnanç Birol

This study evaluates three AI-identified antimicrobial peptides for efficacy and safety against avian pathogenic Escherichia coli in poultry, showing improved survival and immune modulation without adverse effects.

bioRxiv · Sep 15, 2025 · PreprintMicrobiology

Mining the UniProtKB/Swiss-Prot database forantimicrobial peptides

Chenkai Li, Darcy Sutherland, Ali Salehi, Amelia Richter, Diana Lin, Sambina Islam Aninta, Hossein Ebrahimikondori, Anat Yanai, Lauren Coombe, René L. Warren, Monica Kotkoff, Linda Hoang, Caren C. Helbing, İnanç Birol

The paper identifies novel antimicrobial peptides from the UniProtKB/Swiss-Prot database using AMPlify, prioritizing 40 for chicken applications and testing 38 for antimicrobial activity.

Protein Science · Mar 18, 2025Peer-reviewedBioinformatics