Construction of a multiframe vector to express coding sequences in<i>Escherichia coli</i>
Bibliographic record
Abstract
Cloning of foreign DNA fragments for coding sequence analysis in Escherichia coli usually involves sets of three vectors. To simplify this, we constructed an expression vector named pMFV7 containing three ATG codons in different frames downstream of a Shine-Dalgarno sequence, assuming that the ribosome can use any of the three start codons in an alternative manner. Translation beginning at either of the start codons would drive the expression of any coding fragment cloned downstream. To test the feasibility of this proposal, we cloned DNA fragments of the lacZ gene in each of the possible reading frames downstream from pMFV7 start codons. Sequence analysis of the N-terminus regions around the fusion sites indicates that ribosomes indeed initiate translation at each of the three initiation codons. In one case, levels of β-galactosidase activity depended largely on the N-terminus of the translation products. We conclude that pMFV7 may be useful for expressing coding sequences regardless of their reading frame.Key words: translation initiation, in-frame gene cloning, expression vectors.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".