Molecular Modeling of the Hamster Adrenala P450C17
Bibliographic record
Abstract
The cytochrome P450C17 (C17) is the steroidogenic enzyme responsible for the conversion of pregnenolone and progesterone to dehydroepiandrosterone (DHEA) and delta4-androstenedione (AD) respectively. This conversion is achieved by two enzymatic activities, 17alpha-hydroxylase and 17,20-lyase, located at the same active site. In man, the adrenal C17 basically only produces DHEA. We have shown that the hamster adrenal C17 produces DHEA as well as AD. Moreover, the hamster like man produces cortisol as its major glucocorticoid. We can thus compare the hamster and human adrenal C17, and use their differences in order to elaborate a strategy for structure-function studies. We have thus engineered hamster adrenal C17 mutants which possess modified enzymatic activities. We also proceeded to elaborate a three-dimensional model of the hamster C17 to visualise the structural impact of these mutations. This model demonstrates that the mutations created are not localised at the active site, but rather in surrounding regions. These could affect the conformation of the active site, in turn, modulating the 17alpha-hydroxylase and 17,20-lyase activities. For example, the mutation T202N is located next to Val 482 and Val 483 which compose the roof of the active site. This mutation decreased both 17alpha-hydroxylase and 17,20-lyase activities, indicating the importance of the roof of the active site for general functionality of the C17.
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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 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 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 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".