Robust Evaluation of Intermolecular FRET Using a Large Stokes Shift Fluorophore as a Donor
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Bibliographic record
Abstract
Fluorescence (or Förster) resonance energy transfer (FRET) is a straightforward and sensitive technique to evaluate molecular interactions. However, most of the popular FRET pairs suffer cross-excitation of the acceptor, which could lead to false positives. To overcome this problem, we selected a large Stokes shift (LSS) fluorophore as a FRET donor. As a successful example, we employed a new FRET pair mAmetrine (an LSS yellow fluorescence protein)/DY-547 (a cyanine derivative) to substitute CFP/fluorescein that we previously employed to study molecular interactions between cyclic nucleotide-binding domains and cyclic nucleotides. The new FRET pair is practically free of cross-excitation of the acceptor. Namely, a change in the fluorescence spectral shape implies evidence of FRET without other control experiments.
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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) | 0.000 | 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