Gene cloning, characterization, and cytotoxic activity of methionine γ‐lyase from <i>Clostridium novyi</i>
Bibliographic record
Abstract
Abstract The exploitation of methionine‐depleting enzyme methionine γ‐lyase (MGL) is a promising strategy against specific cancer cells that are strongly dependent on methionine. To identify MGL from different sources with high catalytic activity and efficient anticancer action, we have expressed and characterized MGL from Clostridium novyi and compared its catalytic efficiency with the previously studied MGL from Citrobacter freundii . The purified recombinant MGL exhibits k cat and k cat /K m for methionine γ‐elimination reaction that are 2.4‐ and 1.36‐fold higher than C. freundii enzyme, respectively, whereas absorption, fluorescence, and circular dichroism spectra are very similar, as expected on the basis of 87% sequence identity and high conservation of active site residues. The reactivity of cysteine residues with DTNB and iodoacetamide was investigated as well as the impact of their chemical modification on catalytic activity. This information is relevant because for increasing bioavailability and reducing immunogenity, MGL should be decorated with polyethylene glycol (PEG). It was found that Cys118 is a faster reacting residue, which results in a significant decrease in the γ‐elimination activity. Thus, the protection of Cys118 before conjugation with cysteine‐reacting PEG represents a valuable strategy to preserve MGL activity. The anticancer action of C. novyi MGL, evaluated in vitro against prostate (PC‐3), chronic myelogenous leucemia (K562), and breast (MDA‐MB‐231 and MCF7) cancer cells, exhibits IC 50 of 1.3 U mL −1 , 4.4 U mL −1 , 1.2 U mL −1 , and 3.4 U mL −1 , respectively. A higher cytotoxicity of C. novyi MGL was found against cancer cells with respect to C. freundii MGL, with the exception of PC‐3, where a lower cytotoxicity was observed. © 2017 IUBMB Life, 69(9):668–676, 2017
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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) | 0.000 | 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) | 0.000 | 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".