CDpred is a web based approach used to predict the celiac disease associated peptides and motifs. The webserver has been designed to provide the multiple facilities. There are six major modules which can perform variety of tasks based on the user preferences. The "Predict" module is used to identify the peptides responsible for causing celiac disease by using machine learning approch. The "PQ density" module is used to calculate the abundance of proline and glutamine in the given protein sequence. The "Motif scan" module is used to identify the conserved motifs in query sequence. The "Protein Scan" module used to create all possible overlapping peptides as well as their single mutant counterparts of protein that the user has submitted. The Design module allows users to create all of their peptides' single mutant analogues. The "Ensemble method" is used to predict disease causing peptides on the basis of motif based approach and machine learning method.
