Photophysical Studies on the Supramolecular Photochirogenesis for the Photocyclodimerization of 2-Anthracenecarboxylate within Human Serum Albumin
Bibliographic record
Abstract
The mechanism for the chirogenesis in the photocyclodimerization of 2-anthracenecarboxylate (AC) bound to human serum albumin (HSA) was investigated using time-resolved fluorescence measurements in the presence of HSA inhibitors and/or an AC singlet excited state quencher. The photophysical studies were correlated with product studies to explain the high enantiomeric excess (ee) observed for the chiral photoproducts. AC binds to HSA in five different binding sites with decreasing affinities. AC bound to the sites with the highest affinity (sites 1 and 2) is unreactive, and the AC can be displaced from these sites by the use of known inhibitors. Time-resolved fluorescence studies isolated a singlet excited state AC bound to a site which exhibited moderate protection from interactions with species in the aqueous phase. This site was assigned to binding site 3, where the chiral photoproducts are formed with a high ee based on the correlation of the photophysical studies with product studies in the presence of a quencher. These results show that the use of inhibitors for multiple binding site proteins is useful to uncover the properties of binding sites for which guest binding has only moderate affinity and where the photophysical characterization of these binding sites is not possible in the absence of inhibitors.
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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".