AI RESEARCH
Refold: Refining Protein Inverse Folding with Efficient Structural Matching and Fusion
arXiv CS.LG
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ArXi:2603.14350v1 Announce Type: new Protein inverse folding aims to design an amino acid sequence that will fold into a given backbone structure, serving as a central task in protein design. Two main paradigms have been widely explored. Template-based methods exploit database-derived structural priors and can achieve high local precision when close structural neighbors are available, but their dependence on database coverage and match quality often degrades performance on out-of-distribution (OOD) targets.