Proteus is a novel method for generating protein structures with high designability and efficiency. It uses graph-based triangle methods and a multi-track interaction network to achieve superior performance in computational evaluations. The model was tested experimentally and showed high success rates in generating proteins. Proteus can rapidly create highly designable protein backbones without pre-training, enhancing our understanding of protein structure diffusion and contributing to advances in protein design. The model's architecture includes an IPA-Transformer block, a backbone update layer, and a graph triangle block, which enable efficient and effective protein backbone generation. Proteus outperforms existing models in designability and efficiency, particularly for longer proteins. Experimental validation shows that Proteus can generate functional proteins with high accuracy and stability. The model's performance is further supported by in-silico and in-vitro experiments, demonstrating its effectiveness in real-world protein design tasks. Proteus represents a significant advancement in protein design methodology, offering a solution that balances efficiency with the complexity of protein structure generation.Proteus is a novel method for generating protein structures with high designability and efficiency. It uses graph-based triangle methods and a multi-track interaction network to achieve superior performance in computational evaluations. The model was tested experimentally and showed high success rates in generating proteins. Proteus can rapidly create highly designable protein backbones without pre-training, enhancing our understanding of protein structure diffusion and contributing to advances in protein design. The model's architecture includes an IPA-Transformer block, a backbone update layer, and a graph triangle block, which enable efficient and effective protein backbone generation. Proteus outperforms existing models in designability and efficiency, particularly for longer proteins. Experimental validation shows that Proteus can generate functional proteins with high accuracy and stability. The model's performance is further supported by in-silico and in-vitro experiments, demonstrating its effectiveness in real-world protein design tasks. Proteus represents a significant advancement in protein design methodology, offering a solution that balances efficiency with the complexity of protein structure generation.