Author

Linda Hoang

University of British ColumbiaORCID 0000-0001-7769-6120Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2 Microbiology· 1

Signature Assays, Organisms & Methods

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Assay:protein sequence· 2 Organism:chicken / avian· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Research Focus:drug response / drug discovery· 1 Approach:experimental assay· 1 Research Focus:protein design· 1 Assay:proteomics· 1

Frequent Co-Authors

Caren C. HelbingiD· 3 shared İnanç BiroliD· 3 shared René L. WarreniD· 3 shared Anat YanaiiD· 2 shared Chenkai LiiD· 2 shared Darcy SutherlandiD· 2 shared Monica Kotkoff· 2 shared Ali SalehiiD· 1 shared

Activity by Year

2022-2025 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 41 mutual co-author links

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3 shared papersBioinformatics

Caren C. HelbingORCID

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

MicrobiologybioRxivPreprintSep 15, 2025

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…·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.

DOI 10.1101/2025.09.15.675954

chicken / avianproteomics

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

BioinformaticsBMC GenomicsPeer-reviewedJan 25, 2022

AMPlify: attentive deep learning model for discovery of novel antimicrobial peptides effective against WHO priority pathogens

Chenkai Li, Darcy Sutherland, S. Austin Hammond…·İnanç Birol

AMPlify is a deep learning model that predicts antimicrobial peptides from bullfrog genomes, identifying novel peptides effective against WHO priority pathogens including drug-resistant bacteria.

229 citationstop 1%

protein sequencedeep learning

𝕏 PostBluesky