PBsPredictors is a group of models for the prediction of structural alphabet Protein Blocks from the sequence information of a protein chain. Models were developed using different data mining approaches and machine learning algorithms implemented in Python packages or available in IBM SPSS Modeler. For the PBs prediction, models use amino acid sequence, indicators of repeat appearances in a sequence, results of structural protein properties predictor, and results of different predictors of protein intrinsically disordered regions.