16,17-Dihydro Gibberellin A5 Competitively Inhibits a Recombinant Arabidopsis GA 3<i>β</i>-Hydroxylase Encoded by the <i>GA4</i> Gene
Bibliographic record
Abstract
Ring D-modified gibberellin (GA) A5 and A20 derivatives are structurally similar to GA20 and GA9 (the precursors to growth-active GA1 and GA4) and, when applied to higher plants, especially grasses, can reduce shoot growth with concomitant reductions in levels of growth-active GAs and increases in levels of their immediate 3-deoxy precursors. The recombinant Arabidopsis GA 3beta-hydroxylase (AtGA3ox1) protein was used in vitro to test a number of ring D-modified GA structures as possible inhibitors of AtGA3ox1. This fusion protein was able to 3beta-hydroxylate the 3-deoxy GAs, GA9 and GA20, to GA4 and GA1, respectively, and convert the 2,3-didehydro GA, GA5, to its 2,3-epoxide, GA6. Michaelis-Menten constant (Km) values of 1.25 and 10 microM, respectively, were obtained for the GA9 and GA20 conversions. We utilized the enzyme's ability to convert GA20 to GA1 in order to test the efficacy of GA5, 16,17-dihydro GA5 (dihydro GA5), and a number of other ring D-modified GAs as inhibitors of AtGA3ox activity. For the exo-isomer of dihydro GA5, inhibition increased with the dose of dihydro GA5, with Lineweaver-Burk plots showing that dihydro GA5 changed only the Km of the enzyme reaction, not the V(max), giving a dissociation constant of the enzyme-inhibitor complex (Ki) of 70 microM. Other ring D-modified GA derivatives showed similar inhibitory effects on GA1 production, with 16,17-dihydro GA20-13-acetate being the most effective inhibitor. This behavior is consistent with dihydro GA5, at least, functioning as a competitive substrate inhibitor of AtGA3ox1. Finally, the recombinant AtGA3ox1 fusion protein may be a useful screening tool for other effective 3beta-hydroxylase inhibitors, including naturally occurring ones.
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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 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 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".