Kinetic mechanism of a recombinant<i>Arabidopsis</i>glyoxylate reductase: studies of initial velocity, dead-end inhibition and product inhibition
Bibliographic record
Abstract
Kinetic analysis of substrate specificity revealed that a recombinant Arabidopsis protein catalyzes the conversion of glyoxylate to glycolate (Km,glyoxylate= 4.5 μmol·L–1) and succinic semialdehyde (SSA) to γ-hydroxybutyrate (Km, SSA= 0.87 mmol·L–1) via an essentially irreversible, NADPH-based mechanism. In this report, the enzyme was further characterized via initial-velocity, dead-end inhibition and product inhibition studies. The kinetic mechanism was ordered Bi Bi, involving the complexation of NADPH to the enzyme before glyoxylate or SSA, and the release of NADP+before glycolate or γ-hydroxybutyrate, respectively. It can be concluded that the enzyme functions as a NADPH-dependent glyoxylate reductase (EC 1.1.1.79) or possibly an aldehyde reductase (EC 1.1.1.2), and the kinetic mechanism involved is consistent with that found in members of both the aldo-keto reductase and 3-hydroxyisobutyrate dehydrogenase-related superfamilies of enzymes. Since NADP+was an effective competitive inhibitor with respect to NADPH (Ki= 1–3 µmol·L–1), it is proposed that the ratio of NADPH/NADP+regulates enzymatic activity in planta.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 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".