Author

Walid Keyrouz

National Institute of Standards and TechnologyORCID 0000-0003-3807-813XUnclaimed 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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Organism:bacteria (other)· 1 Research Focus:benchmarking· 1 Approach:machine learning (classical)· 1 Assay:protein sequence· 1

Frequent Co-Authors

Antonio CardoneiD· 1 shared David P. HoogerheideiD· 1 shared Ella Mihailescu· 1 shared Frank HeinrichiD· 1 shared Jeffery B. KlaudaiD· 1 shared Kinjal MondaliD· 1 shared Navleen Kaur· 1 shared Sarala PadiiD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

Co-Author Collaboration Network

8 top collaborators · 28 mutual co-author links

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1 shared paperBioinformatics

Antonio CardoneORCID

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1 paper

Recent·Most cited

BioinformaticsbioRxivPreprintJun 1, 2026

Species- and Topic-aware Representation Learning for Antimicrobial Peptide Discovery

Sarala Padi, Kinjal Mondal, Navleen Kaur…·Walid Keyrouz

This paper introduces STAMP, a machine learning framework for predicting antimicrobial peptide efficacy across bacterial species, achieving strong predictive performance and real-world validation.

DOI 10.64898/2026.05.28.728246

bacteria (other)protein sequence

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