Nanopore analysis
Bibliographic record
Abstract
Nanopore analysis is an emerging technique that enables the investigation of the conformation of a single peptide or protein molecule. Briefly, a pore is inserted into a membrane under voltage clamp conditions. When a molecule interacts with the pore there is a change in the current, I, for a time, T. Small unfolded molecules can translocate the pore whereas folded or large molecules tend to simply bump into the pore and then diffuse away. Therefore, the parameters, I and T, are dependent on the conformation of the molecule at the instant at which it encounters the pore. Thus, multiple conformations can be detected simultaneously in a single sample. As well, the analysis can be performed under dilute conditions so that folding or dimerization of a peptide can be followed in real time, which is generally difficult to study for proteins that are prone to aggregate. In this report, we describe our initial analysis of (1) Aβ peptides, which are deposited as amyloid plaques in Alzheimer disease, (2) α-synuclein, which is implicated in Parkinson disease and (3) prion proteins whose misfolding is evident in transmissable spongiform encephalopathies. In each case conformational information can be obtained which may help in understanding the early steps in the misfolding pathways.
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.
How this classification was reachedexpand
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) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".