Overexpression and Characterization of the Chromosomal Aminoglycoside 2′- <i>N</i> -Acetyltransferase of <i>Providencia stuartii</i>
Bibliographic record
Abstract
The gene coding for aminoglycoside 2'-N-acetyltransferase Ia [AAC(2')-Ia] from Providencia stuartii was amplified by PCR and cloned. The resulting construct, pACKF2, was transferred into Escherichia coli for overexpression of AAC(2')-Ia as a fusion protein with an N-terminal hexa-His tag. The fusion protein was isolated and purified by affinity chromatography on Ni(2+)-nitrilotriacetic acid agarose and gel permeation chromatography on Superdex 75. Comparison of the specific activity of this enzyme with that of its enterokinase-digested derivative lacking the His tag indicated that the presence of the extra N-terminal peptide does not affect activity. The temperature and pH optima for activity of both forms of the 2'-N-acetyltransferase were 20 degrees C and pH 6.0, respectively, while the enzymes were most stable at 15 degrees C and pH 8.1. The Michaelis-Menten kinetic parameters for AAC(2')-Ia at 20 degrees C and pH 6.0 were determined using a series of aminoglycoside antibiotics possessing a 2'-amino group and a concentration of acetyl coenzyme A fixed at 10 times its K(m) value of 8.75 microM. Under these conditions, gentamicin was determined to be the best substrate for the enzyme in terms of both K(m) and k(cat)/K(m) values, whereas neomycin was the poorest. Comparison of the kinetic parameters obtained with the different aminoglycosides indicated that their hexopyranosyl residues provided the most important binding sites for AAC(2')-Ia activity, while the enzyme exhibits greater tolerance further from these sites. No correlation was found between these kinetic parameters and MICs determined for P. stuartii PR50 expressing the 2'-N-acetyltransferase, suggesting that its true in vivo function is not as a resistance factor.
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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 | 0.001 |
| 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) | 0.000 | 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".