PredLactamase is a pseudo amino acid composition and support vector machine based two level predictor which predict Betalactamase and its classes. At first level it filter out Betalactamase from non-Betalactamase on the basis of SVM score and threshold value. If the SVM score are greater than threshold, predictor predict the query sequence as betalactamase and moves second level where it clasify its classes, else the programme will stop automatically. At second level the predictor clasify one of the four classes of the betalactamase like class A, class B, class C and class D. For each class SVM model gives a score. Class having maximum score is predicted as the most probable class. The figure 1 shows flow diagram of PredLactamase.