Reports a nanopore strategy that sequentially shortens and re-reads immobilized peptides to produce stepwise signals enabling sequence decoding.
Key Takeaways
- Engineered MspA nanopore with NTA-Ni adapter immobilizes peptide N termini for repeated reads
- Cholesterolized aminopeptidase trims peptides one residue at a time producing sequence-dependent signal steps
- Multi-voltage, machine-learning pipeline achieved up to 98.0% validation accuracy for peptide classification