Identification of Genes Essential for Sulfamate and Fluorine Incorporation During Nucleocidin Biosynthesis
Bibliographic record
Abstract
Nucleocidin is an adenosine derivative containing 4'-fluoro and 5'-O-sulfamoyl substituents. In this study, nucleocidin biosynthesis is examined in two newly discovered producers, Streptomyces virens B-24331 and Streptomyces aureorectus B-24301, which produce nucleocidin and related derivatives at titers 30-fold greater than S. calvus. This enabled the identification of two new O-acetylated nucleocidin derivatives, and a potential glycosyl-O-acetyltransferase. Disruption of nucJ, nucG, and nucI, within S. virens B-24331, specifying a radical SAM/Fe-S dependent enzyme, sulfatase, and arylsulfatase, respectively, led to loss of 5'-O-sulfamoyl biosynthesis, but not fluoronucleoside production. Disruption of nucN, nucK, and nucO specifying an amidinotransferase, and two sulfotransferases respectively, led to loss of fluoronucleoside production. Identification of S. virens B-24331 as a genetically tractable and high producing strain sets the stage for understanding nucleocidin biosynthesis and highlights the utility of using 16S-RNA sequences to identify alternative producers of valuable compounds in the absence of genome sequence data.
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 | 0.000 |
| 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".