MUHAMMAD SAFI UR REHMAN2025-10-292025-10-292019https://escholar.umt.edu.pk/handle/123456789/9746Among different Post-Translational Modification (PTM) the most vital one is lysine Crotonylation in protein. Its importance can’t be undermined related to different diseases and essential biological practice. The key step to find the underneath layer of Crotonylation along with their site is to completely apprehend the mechanism behind this biological process. In the previous research models, they have used different techniques like position weighted matrix (PWM), support vector machine (SVM), k nearest neighbors (KNN) score and many others but still they weren’t able to maximize the accuracy of the prediction. Our predictor model have used SVV, SM, FV, PRIM, RPRIM, AAPIV and RAAPIV to compute the accuracy, sensitivity, specificity and MCC using 10-fold cross validation. The results of independent dataset testing were 99% accuracy, 99.4% sensitivity, 89.1% specificity and 0.98 MCC. Our model have given more accuracy than other research models, using ANN.enThesis