IDPForge: Deep Learning of Proteins with Global and Local Regions of Disorder
IDPForge is an open-source, transformer-based diffusion model that generates accurate all-atom conformational ensembles for intrinsically disordered proteins and regions without requiring sequence-specific training or experimental reweighting, thereby addressing the limitations of current structure prediction tools in modeling dynamic protein disorder.