Nanopore Force Spectroscopy on DNA Duplexes
Bibliographic record
Abstract
Force spectroscopy can be applied using nanopores to study charged molecules such as nucleic acids. This technique can be used to study the binding energy of a DNA duplex by threading an anchored single-stranded DNA (ssDNA) probe molecule through a nanopore (having a diameter large enough to accommodate only a single strand) and allowing target DNA on the backside of the pore to hybridize to the probe. Electric potential can be used to apply a force to the charged ssDNA in a direction tending to translocate the duplex through the pore. If the pore is only large enough to accept ssDNA, the duplex must dissociate for the probe to escape the pore. The dissociation time of the duplex can therefore be measured under applied force, and (provided that enough dissociation events have been recorded) a characteristic time scale for dissociation can be determined. In this chapter, we present a detailed protocol for performing nanopore force spectroscopy on DNA duplexes using one or more alpha-hemolysin nanopores. We present the details of the measurement of the duplex survival probability under force, and show that dissociation time scales for duplexes that are perfectly complimentary differ by greater than approximately two orders of magnitude from those containing a single sequence mismatch, offering opportunities for sequence detection.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".