The Iron-Sulfur Clusters in Escherichia coli Succinate Dehydrogenase Direct Electron Flow
Bibliographic record
Abstract
Succinate dehydrogenase is an indispensable enzyme involved in the Krebs cycle as well as energy coupling in the mitochondria and certain prokaryotes. During catalysis, succinate oxidation is coupled to ubiquinone reduction by an electron transfer relay comprising a flavin adenine dinucleotide cofactor, three iron-sulfur clusters, and possibly a heme b556. At the heart of the electron transport chain is a [4Fe-4S] cluster with a low midpoint potential that acts as an energy barrier against electron transfer. Hydrophobic residues around the [4Fe-4S] cluster were mutated to determine their effects on the midpoint potential of the cluster as well as electron transfer rates. SdhB-I150E and SdhB-I150H mutants lowered the midpoint potential of this cluster; surprisingly, the His variant had a lower midpoint potential than the Glu mutant. Mutation of SdhB-Leu-220 to Ser did not alter the redox behavior of the cluster but instead lowered the midpoint potential of the [3Fe-4S] cluster. To correlate the midpoint potential changes in these mutants to enzyme function, we monitored aerobic growth in succinate minimal medium, anaerobic growth in glycerol-fumarate minimal medium, non-physiological and physiological enzyme activities, and heme reduction. It was discovered that a decrease in midpoint potential of either the [4Fe-4S] cluster or the [3Fe-4S] cluster is accompanied by a decrease in the rate of enzyme turnover. We hypothesize that this occurs because the midpoint potentials of the [Fe-S] clusters in the native enzyme are poised such that direction of electron transfer from succinate to ubiquinone is favored.
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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 | 0.000 |
| 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".