Development and characterization of novel nitric oxide-releasing probes for magnetic resonance imaging
Bibliographic record
Abstract
While providing non-invasive tissue detection, magnetic resonance imaging (MRI) presently possesses limited sensitivity for protein target recognition. This limitation was addressed for the target beta-galactosidase (beta-gal) by constructing three beta-gal-specific MRI probes. The probes are based on a bipartite design in which a vasoactive moiety known as a diazeniumdiolate (NONOate) is bound to a specifier, specifically galactose. Upon galactose' interaction with beta-gal, the NONOate is cleaved from galactose, and actively generates nitric oxide (NO). The released NO leads to microvascular permeability changes in surrounding tissues affecting localized T1 measurements. These changes serve as a quantitative index of beta-gal detection. The three beta-gal-specific NO-releasing probes constructed include GALPYRNONO, GALPIPNONO and a 'bi-functional' probe, which is similar to the first two but with glucose additionally incorporated so that the third probe may easily cross cellular membranes. Synthesis and characterization of this novel class of MRI probes are described in this work.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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".