Dehydroergosterol as an Analogue for Cholesterol: Why It Mimics Cholesterol So Well—or Does It?
Bibliographic record
Abstract
Although dehydroergosterol (DHE) is one of the most commonly used cholesterol (CHOL) reporters, it has remained unclear why it performs well compared with most other CHOL analogues and what its possible limitations are. We present a comprehensive study of the properties of DHE using a combination of time-resolved fluorescence spectroscopy, quantum-mechanical electronic structure computations, and classical atomistic molecular dynamics simulations. We first establish that DHE mimics CHOL behavior, as previous studies have suggested, and then move on to elucidate and discuss the particular properties that render DHE so superior. We found that the main reason why DHE mimics CHOL so well is due to its ability to stand upright in a membrane in a manner that is almost identical to that of CHOL. The minor difference in how DHE and CHOL tilt with respect to membrane normal has only faint effects on structural membrane properties, and even the lateral pressure profiles of model membranes with CHOL or DHE are almost identical. These results suggest that the mechanical/elastic effects of DHE on the function of mechanically sensitive membrane proteins are not substantially different from those of CHOL. Our study highlights similar dynamical behavior of CHOL and DHE, which implies that DHE can mimic CHOL in processes with free energies close to the thermal energy.
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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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".