Purification of the NADP<sup>+</sup>: F<sub>420</sub>oxidoreductase of<i>Methanosphaera stadtmanae</i>
Bibliographic record
Abstract
Methanosphaera stadtmanae (DSM 3091) is a methanogen that requires H2 and CH3OH for methanogenesis. The organism does not possess an F420-dependent hydrogenase and only low levels of F420. It does however possess NADP+:F420 oxidoreductase activity. The NADP+:F420 oxidoreductase, the enzyme which catalyses the electron transfer between NADP+ and F420 in this organism, was purified and characterized. NAD+, NADH, FMN, and FAD could not be used as electron acceptors. Optimal pH for F420 reduction was 6.0, and 8.5 for NADP+ reduction. During the purification process, it was noted that precipitation with (NH4)2SO4 increased total activity 16-fold but reduced the stability of the enzyme. However, recombination of cell-free extracts with resuspended 65-90% (NH4)2SO4 pellet returned activity to near cell-free extract levels. Neither high salt or protease inhibitors were effective in stabilizing the activity of the partially purified enzyme. The purified enzyme from M. stadtmanae possessed a molecular weight of 148 kDa as determined by gel filtration chromatography and native-PAGE, consisting of alpha, beta, and gamma subunits of 60, 50, and 45 kDa, respectively, using SDS-PAGE. The Km values were 370 microM for NADP+, 142 microM for NADPH, 62.5 microM for F420, and 7.7 microM for F420H2. These values were different from the Km values observed in the cell-free extract.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 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 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".