Sensitization of Lanthanides by Nonnatural Amino Acids¶
Bibliographic record
Abstract
The sensitization of Eu(III) and Tb(III) by ethylenediaminetetraaceticacid (EDTA)-derivatized tryptophan (Trp), 7-azatryptophan (7AW) and 5-hydroxytryptophan (5HW) has been examined. These Trp analogs were utilized in the present study because they can be incorporated into proteins in place of native Trp residues and because they absorb strongly beyond 305 nm (where Trp absorbance goes to zero), allowing selective excitation of such species in the presence of other Trp-containing proteins. All three indole derivatives were able to sensitize Tb(III) luminescence, with the relative sensitization being in the order Trp > 5HW > 7AW. On the other hand, only the 7AW-EDTA complex was able to sensitize Eu(III) luminescence, likely owing to a better spectral overlap between 7AW emission and Eu(III) absorbance. The sensitized emission of Tb(III) and Eu(II) displayed the expected long emission lifetimes at 545 nm [for Tb(III)] and 617 nm [for Eu(III)], indicating that long-lifetime lanthanide emission could be produced using nonnatural amino-acid donors. Thus, 7AW- and 5HW-sensitized lanthanide emissions should prove to be useful in biophysical studies, such as the use of fluorescence energy transfer to probe biomolecular interactions in vivo.
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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) | 0.001 | 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".