PIT-GCL: Protein Interaction using Topological Graph Contrastive Learning

Excerpt

arXiv:2610.04850v1 Announce Type: cross Abstract: Protein binding prediction is central to target identification, therapeutic binder design, and large scale screening, yet remains challenging because binding depends on sequence, three dimensional geometry, and global structural organization. Recent folding models such as AlphaFold3 and Boltz-2 have substantially improved structure prediction, but their confidence outputs (pLDDT, pTM, ipTM) are not specifically designed for binary binding predict