Welcome to PRR-HyPred

PRR-HyPred is a two-layer ML-based hybrid easy to use webserver for the prediction of pattern recognition receptors (PRRs). PRR-HyPred was developed by using different feature sets that includes, amino acid composition, dipeptide composition, physiochemical properties, and their hybrids as an input feature. The PRR-HyPred working module is based on optimally selected hybrid features in which the first layer predicts whether a given sequence is a PRR or non-PRR, and the second layer assigs specific family to the predicted PRR sequence. In addition to the prediction results, the probability scores for each prediction are also provided.