Protein contact map prediction using multi-stage hybrid intelligence inference systems

► JUSTcon predictor consists of multiple parallel stages of ANFIS and KNN classifier. ► A smart filter was applied to ensure the normal behaviors of the predictions. ► JUSTcon's average accuracy was 45.2% for the sequence separation of six amino acids. ► JUSTcon outperformed SVMcon and PROFcon in the cases of large separation distances. ► For CASP9 targets, the average accuracy was 15% for sequence separation ⩾24.