Fig. 6 in Genome-wide identification and characterization of genes involved in melatonin biosynthesis in Morus notabilis (wild mulberry)
Bibliographic record
Abstract
Fig. 6. Purification and enzymatic analyses of recombinant His-tagged MnCOMT1. A: Purification of recombinant His-tagged MnCOMT1 (lane1: Protein Marker; lane2: pCold TF (+IPTG); lane3: recombinant protein (-IPTG); lane4: recombinant protein (+IPTG); lane5: purified protein). B: Mass spectrum of compounds detected using UPLC-MS/MS. a: melatonin standard; b: Chromatogram of N-acetylserotonin catalyzed by MnCOMT1. C: Determination of Km and Vmax of MnCOMT1 for Nacetylserotonin. MnCOMT1 (1.0 μg) was co-incubated with different concentrations of N-acetylserotonin for 20 min at 37 ◦C. D: Mass spectrum of compounds detected using UPLC-MS/MS. a: 5-methoxytryptamine standard; b: Chromatogram of serotonin catalyzed by MnCOMT1. E: Determination of Km and Vmax of MnCOMT1 for serotonin. MnCOMT1 (1.0 μg) was co-incubated with different concentrations of serotonin for 20 min at 37 ◦C. " IPTG" stand without addition of 1 mM IPTG to the E. coli BL21 (DE3) culture, "+IPTG" stand addition of 1 mM IPTG to the E. coli BL21 (DE3) culture. "TF" is Trigger Factor, a prokaryotic ribosomerelated molecular chaperone that facilitates the translation and folding of peptides. "*" indicates Trigger factor.
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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 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.002 |
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".