{"id":"bf-022-disorderpred","name":"DisorderPred","domain":"Protein Folding","modality":"Sequence","org":"BroadOpen Collective","task":"Intrinsically disordered region prediction","metric_name":"AUC","metric_value":0.845,"downloads":83002,"license":"MIT","version":"3.9.7","rating":4.6,"description":"DisorderPred is a SYNTHETIC/DEMO protein folding model for intrinsically disordered region prediction. Outputs are deterministic demo values — NOT for clinical use. Trained (synthetically) on de-identified sequence data.","inputs":"Amino-acid sequence","outputs":"Per-residue disorder score","connected_ids":["bf-023-epitopemap-b","bf-020-complexfold-ppi","bf-021-mutstab-ddg"]}