Linear Free Energy Relationship Analysis of Transition State Mimicry by 3-Deoxy-<scp>d</scp>-<i>arabino-</i>heptulosonate-7-phosphate (DAHP) Oxime, a DAHP Synthase Inhibitor and Phosphate Mimic
Bibliographic record
Abstract
3-Deoxy- d - arabino- heptulosonate-7-phosphate (DAHP) synthase catalyzes an aldol-like reaction of phosphoenolpyruvate (PEP) with erythrose 4-phosphate (E4P) to form DAHP in the first step of the shikimate biosynthetic pathway. DAHP oxime, in which an oxime replaces the ketone, is a potent inhibitor, with K i = 1.5 μM. Linear free energy relationship (LFER) analysis of DAHP oxime inhibition using DAHP synthase mutants revealed an excellent correlation between transition state stabilization and inhibition. The equations of LFER analysis were rederived to formalize the possibility of proportional, rather than equal, changes in the free energies of transition state stabilization and inhibitor binding, in accord with the fact that the majority of LFER analyses in the literature demonstrate nonunity slopes. A slope of unity, m = 1, indicates that catalysis and inhibitor binding are equally sensitive to perturbations such as mutations or modified inhibitor/substrate structures. Slopes <1 or >1 indicate that inhibitor binding is less sensitive or more sensitive, respectively, to perturbations than is catalysis. LFER analysis using the tetramolecular specificity constant, that is, plotting log( K M,Mn K M,PEP K M,E4P / k cat ) versus log( K i ), revealed a slope, m, of 0.34, with r 2 = 0.93. This provides evidence that DAHP oxime is mimicking the first irreversible transition state of the DAHP synthase reaction, presumably phosphate departure from the tetrahedral intermediate. This is evidence that the oxime group can act as a functional, as well as structural, mimic of phosphate groups.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".