Design of Engineered Bacteria for Regulated Phage Release: Progress Towards Targeted Elimination of Pathogens
Bibliographic record
Abstract
Cholera outbreaks, caused by surges in pathogenic Vibrio cholerae, recur frequently in areas with water reservoirs around unsanitary living conditions. Phage therapy is being pursued as an alternative treatment to antibiotics. A seek-and-destroy circuit was designed for implementation in probiotics so that they could be used as a controlled delivery system for the phages. These engineered bacteria (EB) were designed to fulfill two functions: to regulate their own population growth and to respond to V.cholerae by lysing to release phages. In this study, it was confirmed that the E.coli strain K-12 could represent EB, since it could be induced to produce lambda phage virions. Construction of the seek-and-destroy circuit began by characterizing a lytic cassette, which showed promise as a population growth regulator and a prophage inducer. Finally, numerical simulations of a mathematical model representing the circuit implied that EB can successfully eradicate a V.cholerae population
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 | 0.001 |
| 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".