TINA: a geometry-aware post-hoc scoring framework for protein-protein interaction.
Accurate identification of the most native-like conformation remains a critical bottleneck in protein complex structure prediction, particularly when multiple globally plausible candidate models are generated by deep learning methods such as AlphaFold3 (AF3). While AF3 provides internal confidence metrics such as ipTM...