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.
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 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) | 0.000 | 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) | 0.022 | 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".