Effects of site-directed mutations in <i>Escherichia coli</i> succinate dehydrogenase on the enzyme activity and production of superoxide radicalsThis paper is one of a selection of papers published in this Special Issue, entitled CSBMCB — Membrane Proteins in Health and Disease.
Bibliographic record
Abstract
Escherichia coli succinate dehydrogenase (SdhCDAB) catalyzes the oxidation of succinate to fumarate in the Krebs cycle, and during turnover, it produces superoxide radicals. SdhCDAB is a good model system for the succinate dehydrogenase (Sdh) found in the mitochondrial respiratory chain (complex II), as the subunits are structural homologues. Although mutations in sdh genes are reportedly associated with a variety of mitochondria-related diseases, the molecular mechanism of these diseases is poorly understood. We have investigated the effects of site-directed mutations around the heme (SdhD-H71L and SdhC-H91L), and at the ubiquinone-binding site (Q site; SdhC-I28E), on enzyme activity and production of superoxide radicals. The mutations SdhD-H71L and SdhC-I28E, but not SdhC-H91L, significantly reduce the succinate-ubiquinone reductase activity of the enzyme. All 3 mutant enzymes produce more superoxide than the wild-type enzyme, indicating that disturbance of the heme or the Q site can enhance superoxide production. The presence of a Q-site inhibitor reduces superoxide production significantly. Furthermore, the yield of superoxide is substrate dependent and increases with succinate concentration from 0.1 to 10 mmol/L. Our results indicate that, in SdhCDAB, the Q site with bound ubiquinone is an important source of superoxide radicals.
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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 | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".