The catalytic formation of leukotriene C<sub>4</sub>: a critical step in inflammatory processes
Bibliographic record
Abstract
Leukotrienes (LT) are a family of drug-like molecules involved in the pathobiology of bronchial asthma and are responsible for smooth muscle contraction. Leukotriene C4 synthase (LTC4S) is a nuclear-membrane enzyme responsible for the conjugation of leukotriene A4 (LTA4) to glutathione to form LTC4, a cysteinyl leukotriene. In this study, the mechanism of LTA4 binding by LTC4S has been computationally examined. More specifically, docking and molecular dynamics simulations were used to gain insight into the substrate-bound active site. These studies identified two possible orientations for bound LTA4: 'tail-to-head' and 'head-to-tail'. An ONIOM(QM/MM) approach was then used to elucidate the mechanism by which glutathione may add to LTA4. In particular, the thiolate of glutathione acts as a nucleophile attacking C6 of LTA4 forming a S-C6 bond. Concomitantly, a proton is transferred from the guanidinium of Arg31 to the epoxide ring oxygen. This results in opening of the epoxide ring and stabilization of the LTC4 product complex. Within the present computational methodology the 'tail-to-head' orientation appears to be the most likely substrate orientation.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".