Binding of a Second Magnesium Is Required for ATPase Activity of RadA from <i>Methanococcus voltae</i>
Bibliographic record
Abstract
RecA-like strand exchange proteins, which include closely related archaeal Rad51/RadA and eukaryal Rad51 and DMC1, play a key role in DNA repair by forming helical nucleoprotein filaments which promote a hallmark strand exchange reaction between homologous DNA substrates. Our recent crystallographic studies on a RadA recombinase from Methanococcus voltae (MvRadA) have unexpectedly revealed a secondary magnesium at the subunit interface approximately 11 A from the primary one coordinated by ATP and the canonical P-loop. The DNA-dependent ATPase activity of MvRadA appears to be dependent on the concentration of free Mg2+, while the strand exchange activity does not. We also made site-directed mutagenesis at the Mg2+-liganding residue Asp-246. The mutant proteins exhibited approximately 20-fold reduced ATPase activity but normal strand exchange activity. Structurally, the main chain carbonyl of the conserved catalytic residue Glu-151 is hydrogen bonded with one of the magnesium-liganding water molecules. Changes in the secondary magnesium site may therefore induce conformational changes around this catalytic glutamate and affect the ATPase activity without significantly altering the stability of the extended recombinase filament. Asp-246 is somewhat conserved among archaeal and eukaryal homologues, implying some homologues may share this allosteric site for ATPase function.
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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) | 0.001 | 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".