Identification of Genes Encoding Secreted Proteins Using Mini-O phoA Mutagenesis
Bibliographic record
Abstract
Protein fusions are invaluable tools for the genetic studies involving the mechanisms of protein export in bacteria. In 1985, Hoffman and Wright developed an in vitro fusion approach that allowed for fusions of the gene encoding Escherichia coli alkaline phosphatase to a variety of cloned genes ( 1 ). The modified phoA gene employed in these studies, designated 'phoA , resulted in the production of a highly active alkaline phosphatase protein missing its signal sequence ( 1 ). This approach is based on the fact that bacterial alkaline phosphatase is normally periplasmic and must be located extracytoplasmically to be active, i.e., export is essential for high levels of alkaline phosphatase activity ( 1 ). Through the fusion of 'phoA to portions of heterologous genes containing signal sequences, export from the cytoplasm and subsequent PhoA activity can be observed ( 1 ). These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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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) | 0.000 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".