Ying-Huan Fu

Abstract Despite substantial progress in nanopore sensing, residue-by-residue peptide sequencing remains a major challenge. Herein, we present EANPSeq, an exopeptidase-assisted nanopore peptide identification strategy based on peptide libraries to decode the peptide sequence.

Conflict of interests The authors declare no conflict of interest. References 1 1a, , J. Am. Chem. Soc. 2007, 129, 9610–9612; 1b, , , Faraday Discuss. 2016, 193, 9–39; 1c, J. Am. Chem. Soc. 2018, 140, 15549–15559; 1d, , , , , , , , , , , , , , , Sci. China Chem. 2020, 63, 589–618; 1e, , , , Acc. Chem. Res. 2020, 53, 719–728; 1f, , , , Chem. Soc. Rev. 2022, 51, 5757–5776; 1g, , , , , , , Chem. Soc. Rev. 2023, 52, 6270–6293. 2 2a, , , , Proc. Natl. Acad. Sci. USA 1996, 93, 13770–13773; 2b, , , Nat. Biotechnol.

Single-entity electrochemistry is a powerful tool that enables the study of electrochemical processes at interfaces and provides insights into the intrinsic chemical and structural heterogeneities of individual entities. Signal processing is a critical aspect of single-entity electrochemical measurements and can be used for data recognition, classification, and interpretation.