An engineered nanopore identifies saccharides, amino acids, peptides and ribonucleotides.

Engineered MspA-FPBA nanopore achieves 98.7% accuracy in simultaneously identifying proteins, RNAs, glycans, and peptides.

• Why it matters: Accurate, comprehensive analysis of multiple biomolecule types remains a significant challenge in molecular characterization, limiting insights into complex biological systems.
• What they did: Researchers introduced maleimido-C2-FPBA into the MspA nanopore and combined it with machine learning to identify 21 amino acids, 4 NMPs, 4 monosaccharides, and 5 peptides, including PTMs.
• The result: This approach enables predictable event signatures for analyte types, allowing identification without prearchived features, and demonstrates potential for detailed biomolecular compositional analysis.