MemHyb: Predicting membrane protein types by hybridizing SAAC and PSSM

► We present, a novel approach called “MemHyb-SVM” for predicting membrane protein types. ► This approach utilizes SAAC and PSSM based feature extraction strategies. ► Error correction code BCH is utilized. ► The performance of the proposed MemHyb-SVM is evaluated on two benchmark datasets. ► It is observed that MemHyb-SVM provides better performance as compared to the existing approaches.