A Highly Efficient Molecular Cloning Platform that Utilises a Small Bacterial Toxin Gene
Bibliographic record
Abstract
Molecular cloning technologies that have emerged in recent years are more efficient and simpler to use than traditional strategies, but many have the disadvantages of requiring multiple steps and expensive proprietary enzymes. We have engineered cloning vectors containing variants of IbsC, a 19-residue toxin from Escherichia coli K-12. These toxic peptides offer selectivity to minimise the background, labour, and cost associated with conventional molecular cloning. As demonstrated with the cloning of reporter genes, this "detox cloning" system consistently produced over 95 % positive clones. Purification steps between digestion and ligation are not necessary, and the total time between digestion and plating of transformants can be as little as three hours. Thus, these IbsC-based cloning vectors are as reliable and amenable to high-throughput cloning as commercially available systems, and have the advantage of being more time-efficient and cost-effective.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".