The Organomercurial Lyase<scp>Mer</scp><scp>B</scp>
Bibliographic record
Abstract
Abstract Mercury is introduced into the environment either from natural occurrences or from human activities, and consumption of mercury‐contaminated fish poses a serious human health issue. The three inorganic forms of mercury are elemental mercury, mercurous compounds, and mercuric compounds, while the most abundant organic form is methylmercury. Owing to its ability to permeate membranes and accumulate in organisms, methylmercury is more toxic than ionic mercury. Mercury‐resistant bacteria have developed a two enzyme system to convert both Hg (II) and methylmercury to the less toxic elemental mercury. The first enzyme is an organomercurial lyase (MerB) and the second enzyme is a mercuric ion reductase (MerA). MerB catalyzes the protonolysis of the carbon–mercury bond on a wide range of organomercurials, including methylmercury, resulting in a reduced carbon compound and ionic mercury. The cleavage of the carbon–mercury bond and the formation of the electrophile‐carbon bond are concerted (SE2). Structural studies demonstrated that MerB contains a unique fold and that significant conformational changes occur on binding of organomercurial substrates. On the basis of mutagenesis, structural, and computational studies, two cysteines and an aspartic acid residue in the active site are known to play key roles in the cleavage of the carbon–mercury bond.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.004 |
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".