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Predicting host-pathogen interactions using a proteome-scale language model

2026-05-31

Abstract excerpt

ProteomeLM (Malbranke et al., 2025) is a proteome-scale language model trained on proteomes spanning the tree of life to reconstruct masked protein embeddings from proteome context within each species. Its attention coefficients capture protein-protein interactions without supervision. Here, we show that this capability extends to cross-species host-pathogen interactions (HPI) across ten human pathogen taxa spanni...

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Literature Corpus work
3e137a0b-491e-5865-b97b-73d83f4a0b26
DOI
10.64898/2026.05.29.728699
Open publication

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Predicting host-pathogen interactions using a proteome-scale language modelDOI 10.64898/2026.05.29.728699
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