Product diversity and regulation of type II fatty acid synthases
Bibliographic record
Abstract
Fatty acid biosynthesis is catalyzed in most bacteria by a group of highly conserved proteins known as the type II fatty acid synthase (FAS II) system. FAS II has been extensively studied in the Escherichia coli model system, and the recent explosion of bioinformatic information has accelerated the investigation of the pathway in other organisms, mostly important human pathogens. All FAS II systems possess a basic set of enzymes for the initiation and elongation of acyl chains. This review focuses on the variations on this basic theme that give rise to the diversity of products produced by the pathway. These include multiple mechanisms to generate unsaturated fatty acids and the accessory components required for branched-chain fatty acid synthesis in Gram-positive bacteria. Most of the known mechanisms that regulate product distribution of the pathway arise from the fundamental biochemical properties of the expressed enzymes. However, newly identified transcriptional factors in bacterial fatty acid biosynthetic pathways are a fertile field for new investigation into the genetic control of the FAS II system. Much more work is needed to define the role of these factors and the mechanisms that regulate their DNA binding capability, but there appear to be fundamental differences in how the expression of the pathway genes is controlled in Gram-negative and in Gram-positive bacteria.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.002 |
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".