Identification of antimicrobial compounds active against intracellular<i>Staphylococcus aureus</i>
Bibliographic record
Abstract
Small-colony variants (SCVs) of Staphylococcus aureus exhibit characteristics of bacteria that can penetrate mammalian cells and remain intracellular and innocuous for indefinite periods. These properties make SCVs a convenient tool that can be used to identify new antibacterial agents having activity against intracellular, quiescent bacteria. Agents active against SCVs could be useful in the treatment of chronic staphylococcal infections such as bovine mastitis. An hemB deletion mutant of S. aureus Newbould, a bovine mastitis isolate, having a stable, genetically defined SCV phenotype, was used in a screening program to identify compounds active against intracellular, gram-positive bacteria. Out of more than 260,000 compounds screened, nine compounds having the desired properties were identified. The range of MICs against gram-positive bacteria was < or = 0.12-32 microg ml-1. One of the compounds (no. 8) showed excellent activity against gram-positive (MICs < or = 0.12 microg ml-1) and gram-negative (MICs < or = 0.12-4 microg ml-1) bacteria. Each of the nine compounds demonstrated efficacy in a neutropenic mouse thigh infection model. Two compounds, including compound no. 8, reduced numbers of bacteria in a mouse mastitis model of infection. Application of a stepwise screening process has identified lead compounds that may be useful for treating persistent, intracellular infections.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.003 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".