Author

Simon Houston

University of VictoriaORCID 0000-0001-5961-5227Unclaimed 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· 2 Organism:bacteria (other)· 1 Research Focus:drug response / drug discovery· 1 Research Focus:protein design· 1 Assay:protein sequence· 1 Assay:protein structure· 1 Research Focus:protein structure prediction· 1

Frequent Co-Authors

Caroline E. CameroniD· 2 shared Aleksander PałkowskiiD· 1 shared Austin MilleriD· 1 shared Caren C. HelbingiD· 1 shared Chen YangiD· 1 shared Chenkai LiiD· 1 shared Darcy SutherlandiD· 1 shared Figali Taho· 1 shared

Activity by Year

2022-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 27 mutual co-author links

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2 shared papersMicrobiology

Caroline E. CameronORCID

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2 papers

Recent·Most cited

MicrobiologybioRxivPreprintMay 7, 2026

Deep Learning-Based Structure Modeling of the Treponema pallidum Proteome: Insights into Pathogenesis and Syphilis Vaccine Development

Simon Houston, Steven Marshall, Austin Miller…·Caroline E. Cameron

This paper uses AI to model the structure of T. pallidum proteins, annotates their functions, identifies potential pathogenesis-related proteins, and highlights vaccine targets.

DOI 10.64898/2026.05.05.717303

bacteria (other)protein structure

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