DBond

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DBond: adjacent. Deep network predicting peptide bond cleavage from sequence, precursor and environment features, used to design mirror-image (D-amino acid) storage peptides that de novo…

Deep network predicting peptide bond cleavage from sequence, precursor and environment features, used to design mirror-image (D-amino acid) storage peptides that de novo sequencing reads more reliably.

Kind	adjacent
Deep learning	yes
Acquisition	DDA

Paper describing it

• Optimizing Mirror-Image Peptide Sequence Design for Data Storage via Peptide Bond Cleavage Prediction (2025, 2025 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), peer-reviewed)

Authors (7)

Yilong Lu, Si Chen, Songyan Gao, Han Liu, Xin Dong, Wenfeng Shen, Guangtai Ding

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