The flowchart of DeepUMQA3. For the input complex structure, it is described from three aspects: overall complex features, intra-monomer features, and inter-monomer features. Then, the extracted features are fed into a residual neural network coupled with triangle update and axial attention to predict the lDDT of each residue and the accuracy of the interface residues.