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Related Experiment Video

Updated: Jun 19, 2026

Analyzing Dynamic Protein Complexes Assembled On and Released From Biolayer Interferometry Biosensor Using Mass Spectrometry and Electron Microscopy

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A dynamical anthrax toxin nanopore biosensor for high-fidelity single-peptide classification.

Jennifer M Colby¹, Bryan A Krantz²

¹Molecular Toxicology Graduate Program, University of California, Berkeley, California, United States of America.

Plos Computational Biology

|February 19, 2026

Summary

This summary is machine-generated.

This study introduces a new nanopore sensing method for real-time single-molecule proteomics. It accurately identifies peptides in complex mixtures without averaging, paving the way for advanced proteomic analysis.

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Area of Science:

Biophysics
Analytical Chemistry
Biochemistry

Background:

Current nanopore sensing for proteomics relies on ensemble aggregation, limiting analysis of complex samples.
Real-time identification of individual peptides is crucial for deciphering heterogeneous biological mixtures.

Purpose of the Study:

To develop a method for high-fidelity classification of peptides from single translocation events.
To eliminate the need for ensemble averaging in nanopore-based proteomics.
To enable true single-molecule proteomics for complex mixture analysis.

Main Methods:

Utilized the anthrax toxin protective antigen (PA) nanopore, featuring dynamic active-site clamps.
Employed high-affinity capture for analysis at low nanomolar concentrations.
Developed a machine learning framework to interpret multi-state signals from single translocation events.

Main Results:

Achieved high-fidelity classification of peptides from individual translocation events.
Demonstrated ~91% accuracy in classifying single events using the machine learning framework.
Successfully resolved complex mixtures that are intractable with bulk aggregation methods.

Conclusions:

Established a framework for true single-molecule proteomics.
Overcame limitations of ensemble averaging in nanopore sensing.
Opened new possibilities for analyzing complex biological samples at the single-molecule level.