AI RESEARCH
Protein Autoregressive Modeling via Multiscale Structure Generation
arXiv CS.AI
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ArXi:2602.04883v2 Announce Type: replace-cross We present protein autoregressive modeling (PAR), the first multi-scale autoregressive framework for protein backbone generation via coarse-to-fine next-scale prediction. Using the hierarchical nature of proteins, PAR generates structures that mimic sculpting a statue, forming a coarse topology and refining structural details over scales. To achieve this, PAR consists of three key components: (i) multi-scale downsampling operations that represent protein structures across multiple scales during.