Structural and Functional Characterization of a Novel Phosphodiesterase from Methanococcus jannaschii
Bibliographic record
Abstract
Methanococcus jannaschii MJ0936 is a hypothetical protein of unknown function with over 50 homologs found in many bacteria and Archaea. To help define the molecular (biochemical and biophysical) function of MJ0936, we determined its crystal structure at 2.4-A resolution and performed a series of biochemical screens for catalytic activity. The overall fold of this single domain protein consists of a four-layered structure formed by two beta-sheets flanked by alpha-helices on both sides. The crystal structure suggested its biochemical function to be a nuclease, phosphatase, or nucleotidase, with a requirement for some metal ions. Crystallization in the presence of Ni(2+) or Mn(2+) produced a protein containing a binuclear metal center in the putative active site formed by a cluster of conserved residues. Analysis of MJ0936 against a panel of general enzymatic assays revealed catalytic activity toward bis-p-nitrophenyl phosphate, an indicator substrate for phosphodiesterases and nucleases. Significant activity was also found with two other phosphodiesterase substrates, thymidine 5'-monophosphate p-nitrophenyl ester and p-nitrophenylphosphorylcholine, but no activity was found for cAMP or cGMP. Phosphodiesterase activity of MJ0936 had an absolute requirement for divalent metal ions with Ni(2+) and Mn(2+) being most effective. Thus, our structural and enzymatic studies have identified the biochemical function of MJ0936 as that of a novel phosphodiesterase.
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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 | 0.001 |
| 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".