The Quaternary Structure of the Saccharomyces cerevisiae Succinate Dehydrogenase
Bibliographic record
Abstract
Succinate dehydrogenases and fumarate reductases are complex mitochondrial or bacterial respiratory chain proteins with remarkably similar structures and functions. Succinate dehydrogenase oxidizes succinate and reduces ubiquinone using a flavin adenine dinucleotide cofactor and iron-sulfur clusters to transport electrons. A model of the quaternary structure of the tetrameric Saccharomyces cerevisiae succinate dehydrogenase was constructed based on the crystal structures of the Escherichia coli succinate dehydrogenase, the E. coli fumarate reductase, and the Wolinella succinogenes fumarate reductase. One FAD and three iron-sulfur clusters were docked into the Sdh1p and Sdh2p catalytic dimer. One b-type heme and two ubiquinone or inhibitor analog molecules were docked into the Sdh3p and Sdh4p membrane dimer. The model is consistent with numerous experimental observations. The calculated free energies of inhibitor binding are in excellent agreement with the experimentally determined inhibitory constants. Functionally important residues identified by mutagenesis of the SDH3 and SDH4 genes are located near the two proposed quinone-binding sites, which are separated by the heme. The proximal quinone-binding site, located nearest the catalytic dimer, has a considerably more polar environment than the distal site. Alternative low energy conformations of the membrane subunits were explored in a molecular dynamics simulation of the dimer embedded in a phospholipid bilayer. The simulation offers insight into why Sdh4p Cys-78 may be serving as the second axial ligand for the heme instead of a histidine residue. We discuss the possible roles of heme and of the two quinone-binding sites in electron transport.
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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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".