Key aurophilic motif for robust quantum-tunneling-based characterization of a nucleoside analogue marker

Single-molecule detection of modified amino acid regulating transcriptional activity

Acetylation of lysine, a component of histones, regulates transcriptional activity. Simple detection methods for acetyl lysine are essential for early diagnosis of diseases and understanding of the physiological effects. We have detected and recognized acetyl lysine at the single-molecule level by combining MCBJ measurement and machine learning.

Single-Molecule Classification of Aspartic Acid and Leucine by Molecular Recognition through Hydrogen Bonding and Time-Series Analysis

Amino acid detection/identification methods are important for understanding biological systems. In this study, we developed the single-molecule measurement for investigated quantum tunneling enhancement by chemical modification and machine learning based time series analysis for develop accurate amino acid discrimination. We performed single-molecule measurement of L-aspartic Acid (Asp) and L-leucine (Leu) with mercaptoacetic acid (MAA) chemical modified nano-gap. The measured current was investigated by machine learning based time series analysis method for accurate amino acid discrimination. Compared to measurements using bare nano-gap, it is found that MAA modification improves the difference in the conductance-time profiles between Asp and Leu through the hydrogen bonding facilitated tunneling phenomena. It is also found that this method enables determination of relative concentration. even in the mixture of Asp and Leu. It improves selective analysis for amino acids, and therefore would be applicable in medicine, diagnosis, and single-molecule peptide sequencing.