Functional studies of cochleate assemblies of an oligo‐acyl‐lysyl with lipid mixtures for combating bacterial multidrug resistance
Bibliographic record
Abstract
The cationic antimicrobial oligo-acyl-lysyls (OAKs) interact with lipid mixtures mimicking the composition of bacterial cytoplasmic membranes. We have reported the ability of one such OAK, C(12)K-7α(8), to cluster anionic lipids and to promote a structural change with lipid bilayers to form rolled cylindrical structures or cochleates, without requiring divalent cations for their assembly. These assemblies can be exploited for drug delivery, permitting their synergistic use with antibiotics in systemic therapy to increase efficacy and reduce toxicity. Our previous studies of the biophysical properties of these systems led us to select mixtures with the goal of optimizing their potential for enhancing effectiveness in combating bacterial multidrug resistance. Here, we further investigate the properties of such mixtures that result in enhanced in vivo activity. The role of erythromycin in the assembly of cochleates with OAK in the gel and the liquid crystalline states were assessed, as well as the encapsulation efficiency of the systems chosen. In addition, we found that erythromycin did not undermine the ability of OAKs to induce fusion of vesicles, fusion being an essential component of cochleate formation. The in vivo activity of the new assemblies tested resulted in higher survival rates of animals infected with multidrug resistant bacteria.
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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".