Author

Ella Mihailescu

Institute for Bioscience and Biotechnology Research

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

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 Frank HeinrichiD· 1 shared Jeffery B. KlaudaiD· 1 shared Kinjal MondaliD· 1 shared Navleen Kaur· 1 shared Sarala PadiiD· 1 shared Walid KeyrouziD· 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

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

Sarala Padi, Kinjal Mondal, Navleen Kaur, David P. Hoogerheide, Frank Heinrich, Ella Mihailescu, Jeffery B. Klauda, Antonio Cardone, 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.

bioRxiv · Jun 1, 2026 · PreprintBioinformatics