Predicts membrane protein types. MemHyb-SVM considers both evolutionary and physicochemical features. It provides to a classification system based on support vector machine (SVM) with error correction code. MemHyb-SVM employs a powerful sequence encoding scheme by fusing position specific scoring matrix and split amino acid composition to effectively discriminate membrane protein types. This proposed approach is an effective tool for the discrimination of membrane protein types and might be helpful to researchers/academicians working in the field of Drug Discovery, Cell Biology, and Bioinformatics.