Oufan Zhang

IDPForge repurposes ESMFold's attention and structure modules as a diffusion generator that produces all-atom ensembles of intrinsically disordered proteins and regions directly from sequence, without per-sequence training, coarse-grained back-mapping or ensemble reweighting. On 32 test sequences with NMR and/or SAXS data it reaches a normalized total X-EISD score of 0.89, against 0.57 for IDPConformerGenerator, 0.58 for IDPFold and 0.58 for CALVADOS, and it can denoise only the disordered region around a folded template.

IDPForge repurposes ESMFold's attention and structure modules as a diffusion generator that produces all-atom ensembles of intrinsically disordered proteins and regions directly from sequence, without per-sequence training, coarse-grained back-mapping or ensemble reweighting. On 32 test sequences with NMR and/or SAXS data it reaches a normalized total X-EISD score of 0.89, against 0.57 for IDPConformerGenerator, 0.58 for IDPFold and 0.58 for CALVADOS, and it can denoise only the disordered region around a folded template.