AI RESEARCH
MicroFuse: Protein-to-Genome Expert Fusion for Microbial Operon Reasoning
arXiv CS.LG
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ArXi:2605.08815v1 Announce Type: new Predicting microbial operon co-membership requires integrating two complementary biological signals: protein-scale molecular identity and genome-context organization. While recent biological foundation models provide powerful representations of each view independently, naive concatenation of these modalities ignores a key biological property -- protein identity and genomic context may agree when adjacent genes form a coherent functional module, or conflict when sequence similarity is misleading but genomic layout indicates independent regulation.