Identification and characterization of a unique cysteine residue proximal to the catalytic site of Arabidopsis thaliana carotenoid cleavage enzyme 1
Bibliographic record
Abstract
AtCCD1 and AtNCED3 are related carotenoid cleavage enzymes from Arabidopsis thaliana that catalyze the oxidative cleavage of, respectively, the 9,10 (9',10') double bonds of carotenoid substrates such as beta-carotene, and the 11,12 double bond of 9-cis epoxycarotenoids. Although the cellular and cleavage functionalities of these enzymes have been reported, their mechanisms and related structural environments mediating these disparate specificities in homologous enzymes have not been well characterized. By relating the differences observed in UV and visible light absorption and Cu(II) electron paramagnetic signals to variations in sequence alignments and 3-D homology models of the two A. thaliana enzymes, we identified a putatively proximal cysteine residue (Cys352) in AtCCD1 that is not conserved in AtNCED3. Spectral analysis of the Cys to Ala mutant confirmed its uniqueness and proximity to the metal binding site, but precluded any role for the residue in the mediation of the observed metal binding affinity or associated steric constraint differences. Further analysis of kinetic substrate cleavage properties indicated a decrease in Vmax and a subtle increase in Km for the C352A mutant compared with those observed for the wild-type, thus confirming catalytic site proximity and suggesting possible roles for the unique cysteine in the modulation of substrate affinity and (or) the reaction rate of AtCCD1.
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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 | 0.000 |
| 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 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".