Author

S. Aris-Brosou

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Open access Sep 2026

A moving target: non-stationary selection governs unsupervised prediction of viral fitness

Anticipating how mutations change viral fitness is central to genomic surveillance and vaccine design, yet the supervised phenotype data behind the most accurate variant-effect predictors are unavailable for most emerging pathogens. We ask how far label-free scoring can go using only sequences, their evolutionary histo...

S. Aris-Brosou, Matthieu Vilain · bioRxiv · 0 citations

Open access Aug 2026

Unsupervised detection of antimicrobial-resistance determinants by coupling protein-language-models and evolutionary signatures

Antimicrobial resistance (AMR) is among the most pressing threats to global health, yet our ability to find resistance determinants is largely confined to what reference databases already contain: homology search and supervised classifiers recognize variants of known genes but are, by construction, blind to the larger...

S. Aris-Brosou, Aniela Kouassi · bioRxiv · 0 citations