Bibliographic record
Abstract
Abstract KshAB is a Rieske oxygenase (RO) in the aerobic steroid degradation pathways of bacteria. It is a monooxygenase responsible for the 9α‐hydroxylation of the nucleus of 3‐keto‐4‐ene steroids bearing short side chains at C17. It is composed of two domains arranged in a head‐to‐tail fashion to form the functional trimer. The N‐terminal Rieske domain harbors a Fe2S2cluster in which the two irons are coordinated by two cysteine and two histidine residues, respectively. The larger, C‐terminal catalytic domain contains a mononuclear nonheme iron coordinated by a His‐His‐Asp facial triad. Purified KshAB from Mycobacterium tuberculosis exhibits substrate specificities for 1,4‐androstadien‐3,17‐one and dioxygen 2‐3 orders of magnitude lower than those measured for other ROs and their best substrates. In agreement with the large fused‐ring substrate, the structure of KshA incorporates an active site channel and substrate binding pocket that are longer than those observed in other ROs, and positioned in a different relative orientation within the catalytic domain. KshA also possesses a C‐terminal helix which occupies a position not observed in other RO structures and which likely stabilizes trimeric quaternary structure. Finally, KshA exhibits a minimal core catalytic domain with respect to secondary structural elements that may prove archetypical for ROs.
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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.007 | 0.011 |
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".