Predicting enzymatic cleavage sites in cyclic peptides with non-canonical amino acids using a Graphormer model trained on MetID user data.

n no pmc-prop-is-scanned-article no pmc-prop-preprint no pmc-prop-in-epmc yes pmc-license-ref CC BY-NC-ND issue-copyright-statement © Springer Nature Limited 2026 Introduction The growing interest in peptide molecules as therapeutic agents, due to their high selectivity and efficacy, has emerged as a significant trend in the pharmaceutical industry.

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