Heterologous production, purification and crystallization of 24C-sterol methyltransferase from <i>Candida albicans</i>
Bibliographic record
Abstract
Abstract Candida albicans is a critical priority fungal pathogen causing invasive fungal infections with high mortality rates in immunocompromised patients. The increasing fungal infection rate and resistance of fungal pathogens to existing antifungal treatments have emphasized the need for the development of novel antifungal medicine. The ergosterol biosynthesis pathway has been a successful target for antifungal compounds, but many enzymatic steps remain unexplored. 24C-sterol methyltransferase (24C-SMT) catalyzes a critical fungal-specific step in ergosterol biosynthesis. When 24C-SMT is disrupted, fungal pathogens are sensitized to temperature, various inhibitors, and antifungals, and a loss of virulence can be observed. In this study, five 24C-SMT variants with different lengths of N-termini were heterologously produced in Escherichia coli and three were purified to near-homogeneity with immobilized metal-affinity and size-exclusion chromatography. N-terminally truncated C. albicans 24C-SMT was utilized for crystallization trials due to its increased stability and higher purity compared to the full-length protein. 24C-SMT crystals were obtained in the presence of Sadenosyl-homocysteine, but diffracted to low resolution. Therefore, we established a starting point for 24C-SMT crystallization by providing an optimized protocol for heterologous 24C-SMT production, purification and initial crystallization conditions, which could be used for further downstream crystallographic studies.
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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 | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".