Stochastic High-speed Rotation of Escherichia coli ATP Synthase F1 Sector
Bibliographic record
Abstract
The gamma subunit of the ATP synthase F(1) sector rotates at the center of the alpha(3)beta(3) hexamer during ATP hydrolysis. A gold bead (40-200 nm diameter) was attached to the gamma subunit of Escherichia coli F(1), and then its ATP hydrolysis-dependent rotation was studied. The rotation speeds were variable, showing stochastic fluctuation. The high-speed rates of 40- and 60-nm beads were essentially similar: 721 and 671 rps (revolutions/s), respectively. The average rate of 60-nm beads was 381 rps, which is approximately 13-fold faster than that expected from the steady-state ATPase turnover number. These results indicate that the F(1) sector rotates much faster than expected from the bulk of ATPase activity, and that approximately 10% of the F(1) molecules are active on the millisecond time scale. Furthermore, the real ATP turnover number (number of ATP molecules converted to ADP and phosphate/s), as a single molecule, is variable during a short period. The epsilon subunit inhibited rotation and ATPase, whereas epsilon fused through its carboxyl terminus to cytochrome b(562) showed no effect. The epsilon subunit significantly increased the pausing time during rotation. Stochastic fluctuation of catalysis may be a general property of an enzyme, although its understanding requires combining studies of steady-state kinetics and single molecule observation.
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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".