Author

Ali Salehi

BC Cancer AgencyORCID 0009-0006-6792-295XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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

Frequent Co-Authors

Anat YanaiiD· 2 shared Caren C. HelbingiD· 2 shared Darcy SutherlandiD· 2 shared İnanç BiroliD· 2 shared Lauren CoombeiD· 2 shared René L. WarreniD· 2 shared Amelia RichteriD· 1 shared Berke UçariD· 1 shared

Activity by Year

2025-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 42 mutual co-author links

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2 shared papersBioinformatics

Anat YanaiORCID

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintMay 26, 2026

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

Berke Uçar, Emre Demirsoy, Ali Salehi…·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.

DOI 10.64898/2026.05.23.727347

proteomicsmetagenomics

𝕏 PostBluesky

BioinformaticsProtein SciencePeer-reviewedMar 18, 2025

Mining the UniProtKB/Swiss-Prot database forantimicrobial peptides

Chenkai Li, Darcy Sutherland, Ali Salehi…·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.

9 citations

protein sequencestatistical model

𝕏 PostBluesky