Formation of a Distinctive Complex between the Inducible Bacterial Lysine Decarboxylase and a Novel AAA+ ATPase
Bibliographic record
Abstract
AAA+ ATPases are ubiquitous proteins that employ the energy obtained from ATP hydrolysis to remodel proteins, DNA, or RNA. The MoxR family of AAA+ proteins is widespread throughout bacteria and archaea but is largely uncharacterized. Limited work with specific members has suggested a potential role as molecular chaperones involved in the assembly of protein complexes. As part of an effort aimed at determining the function of novel AAA+ chaperones in Escherichia coli, we report the characterization of a representative member of the MoxR family, YieN, which we have renamed RavA (regulatory ATPase variant A). We show that the ravA gene exists on an operon with another gene encoding a protein, YieM, of unknown function containing a Von Willebrand Factor Type A domain. RavA expression is under the control of the sigmaS transcription factor, and its levels increase toward late log/early stationary phase, consistent with its possible role as a general stress-response protein. RavA functions as an ATPase and forms hexameric oligomers. Importantly, we demonstrate that RavA interacts strongly with inducible lysine decarboxylase (LdcI or CadA) forming a large cage-like structure consisting of two LdcI decamers linked by a maximum of five RavA oligomers. Surprisingly, the activity of LdcI does not appear to be affected by binding to RavA in a number of in vitro and in vivo assays, however, complex formation results in the stimulation of RavA ATPase activity. Data obtained suggest that the RavA-LdcI interaction may be important for the regulation of RavA activity against its targets.
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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 | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".