Single-Molecule Force Spectroscopy Unfolding Event Data

Force spectroscopy records for analyzing protein unfolding and unbinding events, generated to validate the FEATHER algorithm. The data was used to demonstrate a 30-fold improvement in event location precision and an eightfold improvement in distribution accuracy compared to reference algorithms. It was authored by Patrick R. Heenan and published in 2020.

Use Cases

• Apply the FEATHER algorithm to automatically identify unfolding/unbinding event locations in force-extension curves.
• Analyze rupture force distributions to deduce energy landscape parameters like the zero-force dissociation rate constant (ko).
• Calculate loading rates from force probe retraction data to study the dynamics of protein-ligand interactions.
• Segment complex force-extension curves for fitting to worm-like chain models of protein mechanics.
• Compare event detection precision and false positive rates against other automated analysis algorithms.

Strengths

• Data was used to validate FEATHER, showing a 30-fold improvement in event location precision.
• Demonstrated an eightfold improvement in the accuracy of loading rate and rupture force distributions.
• Algorithm is linear and scales well for large datasets, as noted in the description.

Limitations

• The specific number of records, rows, or sample size is not provided in the input.
• Data is focused on a specific polyprotein construct, limiting generalizability to other biological systems.
• The dataset's utility may be specialized for users familiar with single-molecule force spectroscopy analysis.

Provenance

Source

dryad

Collection Method

Generated from single-molecule force spectroscopy (SMFS) experiments, likely involving a polyprotein containing mechanically labile and robust domains.

Freshness

2020-06-24