Researchers have developed large-scale multi-omic biosequence transformers for modeling protein-nucleic acid interactions.Previous research has mainly focused on single-omic models, but they are not efficient in modeling multi-omic tasks.The multi-omic models (MOMs) can learn joint representations and achieve state-of-the-art results in predicting protein-nucleic acid interactions.MOMs can infer useful structural information without specific structural training, outperforming single-omic models in many cases.