IDPForge: deep learning of proteins with global and local regions of disorder

Researchers introduced IDPForge, a transformer-based machine learning tool that generates accurate all-atom ensembles of intrinsically disordered proteins and regions while preserving folded domains, validated against experimental data. This open-source method requires no sequence-specific training or ensemble reweighting, aiding structural studies of proteins with intrinsic disorder.