Molecular self-assemblies might discriminate the diffusion of chiral molecules
Bibliographic record
Abstract
Biological tissue has many self-aligned anisotropic molecular organizations, which are able to undergo reversible orientational deformations and spatially transfer them. At the same time, the majority of drugs and many biologically important molecules contain chiral centers. It is therefore important to understand the factors affecting the diffusion of chiral molecules in such elastic environments. We experimentally study the diffusion of chiral molecules in a nematic liquid crystal host representing the model of biological tissue. The analogy of Cano's quantization effect is observed (due to the gradient of the chiral dopant) and used to estimate the corresponding diffusion coefficients. It is shown that thanks to the collective orientational correlation of host molecules the diffusion of chiral dopants is noticeably reduced (by a factor of ≈1.6) for the case of rigid alignment of host molecules compared to the case when the same matrix is free to adjust that alignment.
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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 | 0.001 | 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 | 0.001 |
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".