Nanopore sensors for nucleic acid analysis
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
In the past decade, nanometre-scale pores have been explored as the basis for technologies to analyse and sequence single nucleic acid molecules. Most approaches involve using such a pore to localize single macromolecules and interact with them to garner some information on their composition. Though nanopore sensors cannot yet claim success at deoxyribonucleic acid (DNA) sequencing, nanopore-based technologies offer one of the most promising approaches to single molecule detection and analysis. The majority of experimental work with nanopore detection of nucleic acids has involved the α-haemolysin (alpha-HL) ion channel—a heptameric protein with a ∼2 nm diameter inner pore which allows translocation of single-stranded DNA. Analysis of externally induced ion current through the pore during its interaction with DNA can provide information about the DNA molecule, including length and base composition. This review focuses on alpha-HL and its applications to single-molecule detection. Modified alpha-HL and other biological and synthetic pores for macromolecule detection are also discussed, along with a brief summary of relevant theoretical work and numerical modelling of polymer–pore interaction.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 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 it