Lipid composition in fungal membrane models: effect of lipid fluidity
Bibliographic record
Abstract
The creation of effective fungal membrane models for neutron and X-ray reflectometry experiments is a key step in the development of new antifungal pharmaceuticals and agrochemicals to allow in vitro investigation of their mode of interaction with target cells. The structure of the obtained models depends on the properties of the lipids used and the final composition of the leaflets, and can be subject to the spontaneous translocation of phospholipids across the bilayer. The effect of phospholipid acyl-chain unsaturation and the presence of steroids in the membrane on the bilayer asymmetry were examined by means of neutron reflectometry. The measurements showed that membrane stability was higher if a zwitterionic, saturated acyl-chain phospholipid is present as the inner leaflet. Furthermore, membrane asymmetry was higher in the case of fully saturated lipid systems. As a result, membrane models consisting of fully saturated acyl chains within the inner leaflet are recommended as the starting point for subsequent studies of antifungal interactions owing to the simplicity of the models and their relative stability, thus allowing better control over the exact lipid composition facing the tested antifungal.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".