Few Conserved Amino Acids in the Small Multidrug Resistance Transporter EmrE Influence Drug Polyselectivity
Bibliographic record
Abstract
) to a collection of 16 different QCCs was tested using agar spot dilution plating to determine MIC values. The results determined that only a few conserved residues were drug polyselective, based on ≥4-fold decreases in MIC values: the active-site residue E14 (E14D and E14A) and 4 additional conserved residues (A10C, F44C, L47C, W63A). EmrE variants I11C, V15C, P32C, I62C, L93C, and S105C enhanced resistance to polyaromatic QCCs, while the remaining EmrE variants reduced resistance to one or more QCCs with shared chemical features: acylation, tri- and tetraphenylation, aromaticity, and dicationic charge. Mapping of EmrE variants onto transmembrane helical wheel projections using the highest resolved EmrE structure suggests that polyselective EmrE variants were located closest to the helical faces surrounding the predicted drug binding pocket, while EmrE variants with greater drug specificity mapped onto distal helical faces. This study reveals that few conserved residues are essential for drug polyselectivity and indicates that aromatic QCC selection involves a greater portion of conserved residues than that in other QCCs.
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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) | 0.000 | 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 | 0.000 |
| 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".