Structural and mechanistic views of enzymatic, heme-dependent nitrogen-nitrogen bond formation
Bibliographic record
Abstract
Summary Molecules with nitrogen-nitrogen (N-N) bonds constitute a large group of clinically important drugs, and various synthetic approaches have been developed to construct functional groups like hydrazines, diazos, pyrazoles, and N-nitrosos. While hundreds of N-N-containing specialized natural metabolites have also been discovered, little is known about the underlying enzymatic mechanisms that have evolved for N-N bond formation. In order to directly form a single N(sp 3 )-N(sp 3 ) bond, enzymes must reverse the typical nucleophilicity of one nitrogen. Here, we report structural and mechanistic interrogations of the piperazate synthase PipS, a heme-dependent enzyme that catalyzes an N-N bond forming cyclization of N 5 -OH-L-ornithine to give the non-proteinogenic amino acid L-piperazic acid. We show that PipS can process a variety of N -substituted hydroxylamines, to give either an imine or an N-N bond, in a substrate-specific manner. Using a combination of structural and biochemical experiments, computational studies, and spectroscopic characterization, we propose that heme-dependent dehydration and N-N bond formation in PipS proceed through divergent pathways, which may stem from a shared nitrenoid intermediate that effectively reverses the nucleophilicity of the hydroxylamine nitrogen. Our work expands the current knowledge of enzymatic N-N bond formation, and delineates the catalytic versatility of a heme cofactor, paving the way for future development of genetically encoded biocatalysts for N-N bond formation.
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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) | 0.000 | 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 | 0.001 |
| Research integrity | 0.001 | 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 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".