Aromatic Derivatives and Tellurium Analogues of Cyclic Seleninate Esters and Spirodioxyselenuranes That Act as Glutathione Peroxidase Mimetics
Bibliographic record
Abstract
[Reaction: see text]. Several novel organoselenium and tellurium compounds were prepared and evaluated as mimetics of the selenoenzyme glutathione peroxidase, which protects cells from oxidative stress by reducing harmful peroxides with the thiol glutathione. The compounds were tested for catalytic activity in a model system wherein tert-butyl hydroperoxide or hydrogen peroxide were reduced with benzyl thiol and the rate of the reaction was measured by monitoring the formation of dibenzyl disulfide. Thus, aromatic derivatives 19, 22, 24, and 25 proved to be inferior catalysts compared to the parent cyclic seleninate ester 14 and spirodioxyselenurane 16. In the case of 19 and 22, this was the result of their rapid conversion to the relatively inert selenenyl sulfides 31 and 32, respectively. In general, hydrogen peroxide was reduced faster than tert-butyl hydroperoxide in the presence of the selenium-based catalysts. The cyclic tellurinate ester 27 and spirodioxytellurane 29 proved to be superior catalysts to their selenium analogues 14 and 16, respectively, resulting in the fastest reaction rates by far of all of the compounds we have investigated to date. Oxidation of 29 with hydrogen peroxide produced the unusual and unexpected peroxide 33, in which two hypervalent octahedral tellurium moieties are joined by ether and peroxide bridges. The structure of 33 was confirmed by X-ray crystallography. Although 33 displayed strong catalytic activity when tested independently in the model system, its relatively slow formation from the oxidation of 29 rules out its intermediacy in the catalytic cycle of 29.
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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 | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 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".