Chemoproteomic Profiling of <i>C. albicans</i> for Characterization of Antifungal Kinase Inhibitors
Bibliographic record
Abstract
High Resolution Image Download MS PowerPoint Slide Candida albicans is a major cause of systemic candidiasis, a severe fungal infection with a ∼40% mortality rate. Yck2, a casein kinase 1 (CK1) in C. albicans, is targeted by antifungal inhibitors YK-I-02 (YK) and MN-I-157 (MN). Using multiplexed inhibitor beads and mass spectrometry (MIB/MS), the selectivity of these inhibitors was determined across the fungal kinome. The MIB matrix captured 89% of C. albicans protein kinases, revealing that YK and MN selectively engage three CK1 homologues (Yck2, Yck22, and Hrr25) and a human p38α homologue (Hog1). Chemoproteomics using a custom MN-kinobead confirmed the remarkable fungal kinome selectivity. To identify new Yck2 inhibitors with selectivity over Hog1, 13 human CK1 inhibitors were screened, leading to the discovery of a new chemotype with antifungal activity. These findings highlight the utility of MIB/MS in profiling nonhuman kinomes and developing selective fungal kinase inhibitors as antimicrobial agents.
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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 | 0.001 | 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) | 0.002 | 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".