Comparative study of the activity and kinetic properties of malate dehydrogenase and pyruvate decarboxylase from<i>Candida albicans</i>,<i>Malassezia pachydermatis</i>, and<i>Saccharomyces cerevisiae</i>
Bibliographic record
Abstract
Candida albicans and Malassezia pachydermatis cause human and animal infections of the skin and internal organs. We compare the properties of two enzymes, pyruvate decarboxylase (PDC) and malate dehydrogenase (MDH), from these species and from Saccharomyces cerevisiae cultivated under aerobic and anaerobic conditions to find differences between the enzymes that adapt pathogens for virulence and help us in searching for new antifungal agents. Malassezia pachydermatis did not show any growth under anaerobic conditions, as opposed to C. albicans and S. cerevisiae. Under aerobic conditions, C. albicans showed the highest growth rate. Malassezia pachydermatis, contrary to the others, did not show any PDC activity, simultaneously showing the highest MDH activity under aerobic conditions and a Km value for oxaloacetate lower than S. cerevisiae. Candida albicans and S. cerevisiae showed a strong decrease in MDH activity under anaerobic conditions. Candida albicans shows four different isoforms of MDH, while M. pachydermatis and S. cerevisiae are characterized by two and three isoforms. Candida albicans shows about a twofold lower activity of PDC but, simultaneously, almost a threefold lower Km value for pyruvate in comparison with S. cerevisiae. The PDC apoform share under aerobic conditions in C. albicans was 47%, while in S. cerevisiae was only 26%; under anaerobic conditions, the PDC apoform decreased to 12% and 8%, respectively. The properties of enzymes from C. albicans show its high metabolic flexibility (contrary to M. pachydermatis) and cause easy switching between fermentative and oxidative metabolism. This feature allows C. albicans to cause both surface and deep infections. We take into consideration the use of thiamin antimetabolites as antifungal factors that can affect both oxidative and fermentative metabolism.
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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 | 0.001 |
| 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) | 0.000 | 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 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".