Decoding the RNA binding systems by UltraGen
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RNA plays multifaceted roles in catalytic reactions and gene regulation. The sequence-encoded binding language across diverse RNA-target interactomes is high-dimensional and complex. Here, we introduce UltraGen, an RNA language model designed to capture RNA binding properties. Utilizing fine-grained self-learning, UltraGen identifies RNA aptamers for a wide range of target sizes, including small molecules, proteins, cells, and tissues. Additionally, UltraGen discerns tissue specificity for millions of RNA species across 22 human organs based on their 3’-UTR sequences, predicts the tropism of human-pathogenic RNA viruses, and characterizes SARS-CoV-2 replicase RNA binding at single-base resolution.
