Mechanistic Analysis of Bioorthogonal Double Strain-Promoted Alkyne–Nitrone Cycloadditions Involving Dibenzocyclooctadiyne
Bibliographic record
Abstract
The reactions of nitrones with cyclooctadiynes were studied to establish the relative rates of sequential reactions and to determine the limits and scope of this bioorthogonal chemistry. We have established the second-order rate constants for the consecutive additions of a variety of nitrones onto diyne and studied the structure-activity relationships via Hammett plots. Results show that the addition of the second nitrone to the monointermediate occurs significantly faster than the first, with both reactions being faster than analogous reactions with azides. Computational chemistry supports these observations. The rate of second addition increases with electron-deficient nitrones, as demonstrated by a large rho value of 2.08, suggesting that the reaction rate can be controlled by nitrone selectivity. To further investigate the kinetic parameters of the reaction, dinitrone monomers containing cyclic and diaryl-nitrones were designed for use in oligomerization applications. Oligomerization was used as a probe to test the limits of the reactivity and attempt to isolate monocycloaddition products. The oligomer formed from a cyclic nitrone reacts faster, and detailed MALDI mass spectrometry analysis shows that monoaddition products exist only transiently and are not isolatable. These studies inform on the scope and limits of this chemistry in a variety of applications. We successfully demonstrated bacterial cell wall labeling using heterogeneous dual cycloadditions involving nitrone and azide dipoles, where the nitrone was the faster reacting partner on the bacterial cell surface.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| 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) | 0.003 | 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".