Strapped Porphyrins as Model Systems for Atropisomeric Photosensitizer Drugs
Bibliographic record
Abstract
Abstract The time dependence of atropisomer interconversion has limited the pursuit of single atropisomer drug candidates, even in circumstances where one atropisomer presents favorable biological activity over another. Moderate interconversion energy barriers risk compromising drug stability. As a result, examples of atropisomerically pure drugs in current clinical use are rare. However, in recent years, there has been a shift towards the development of single, stable atropisomer drug candidates with enhanced activity. Consequently, development of methods which effectively restrict rotation in a configuration which favors activity is highly beneficial. The picket fence porphyrin α4 atropisomer configuration has been previously demonstrated to improve the cell internalization of the pre‐clinical drug, redaporfin, applied in photodynamic therapy. In this work, the α4 configuration was modelled with novel porphyrin photosensitizers through strapped moieties which effectively fixed the atropisomeric configuration. The stable cis‐αα configuration demonstrated enhanced cell membrane permeation, effectively predicting the behavior of the α4 configuration and indicates that strapped porphyrins can serve as stable model systems for the investigation of photoactive drugs.
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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 | 0.000 |
| 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 | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".