CLIPepPI

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Note: Enter a domain sequence (IREERLLKVLRAPHVSEKASTAMEKSNTIVLKVAKDATKAEIKAAVQKLFEVEVEVVNTLVVKGKVKRHGQRIGRRSDWKKAYVT), comma separated list of peptide sequences (NNRPVYIPRPRPPHPRL,ASPLKQQRIRQKVEKL,AWIP) or a CSV file (id,entry).
Note: Optionally, you can provide interface residue indexes (0-based indexing) for domains in form of text ("69,70,71").

Domain

Interface residue indexes (Optional)

Peptide

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Citation: If you use CLIPepPI, please cite: Hochner-Vilk, T., Stein, D., Schueler-Furman, O., Raveh, B., Chook, Y. M., & Schneidman-Duhovny, D. (2026). CliPepPI: Scalable prediction of domain-peptide specificity using contrastive learning. bioRxiv.

Contact: tanya.hochner@mail.huji.ac.il, dor.stein@mail.huji.ac.il

Acknowledgement: We are grateful for the support of the Center for Interdisciplinary Data Science Research (CIDR) at the Hebrew University of Jerusalem. In particular, we would like to thank Haimasree Bhattacharya from CIDR for her contributions.