Outer Membranes and Efflux: The Path to Multidrug Resistance in Gram- Negative Bacteria
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Intrinsic and acquired multidrug resistance in Gram-negative bacteria owes much to the synergy between limited outer membrane permeability and energy-dependent multidrug efflux. The importance of the outer membrane vis-a-vis resistance is aptly demonstrated by the impact of mutational changes in outer membrane constituents on drug susceptibility. Changes in lipopolysaccharide (LPS) that correlate with increased drug susceptibility confirm, for example, the significance of this macromolecule in the intrinsic antimicrobial resistance of Gram-negative bacteria. Alterations in LPS and porins correlating with increased resistance to a variety of antimicrobials are also known and highlight the significance of the outer membrane vis-a-vis acquired antimicrobial resistance. Efflux systems accommodating a range of structurally distinct antimicrobials, including antibiotics, detergents, dyes, biocides and aromatic hydrocarbons have been identified in a number of Gram-negative organisms. Mutational studies have confirmed the importance of these systems to intrinsic and acquired antimicrobial resistance in important disease-causing organisms. As such, strategies aimed at thwarting efflux and or the outer membrane barrier are effective at reversing antimicrobial resistance in these organisms.
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.
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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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 it