ProteinMPNN entered the model lineage

Why this model matters

ProteinMPNN solves the inverse-folding problem: given a target backbone, it designs amino-acid sequences that reliably fold to it, dramatically outperforming physics-based design. LigandMPNN adds awareness of small molecules, metals and nucleic acids for functional-site design.

Current evidence boundary

• Performance depends on the evaluation dataset and operating conditions.
• A structured benchmark claim has not yet been extracted for this record.
• Outputs require task-specific scientific and experimental validation.