il2pred is webserver for predicting interleukin-2 peptides. It is based on mechine learning and motif methods that has been trained on a large dataset of experimentally validated il2 and non-il2 peptides which contains 5518 toxic and 5518 non-toxic peptides. It utilizes wide range of information and techniques for prediction, including machine learning, deep learning and MERCI. To use il2pred user can access the prediction module and simply enter the peptide sequence into the text box or upload a FASTA file and click on submit button. The server will then return a prediction of whether your peptide is il2 inducing or non-il2 inducing. In addition to the prediction module, there are some other useful modues for users, such as Design, Protein scanning, Motif scan and BLAST search. Furthermore, the server provides following important links to the users, including options to Download the standalone version of il2pred and the associated datasets. The Algorithm link provides details about the underlying methodologies employed il2pred. The Help page offers assistance and guidance on using the tool effectively. The Team link provides information about the team behind il2pred, and the Contact link allows users to reach out for any inquiries or feedback.