Bibliographic record
Abstract
Negamycin is a natural product antibiotic discovered in 1970 and shown to have a Gram-negative spectrum of activity. It has served as the starting point in drug discovery efforts due in large part to its structural simplicity and novel mode of inhibition of the bacterial ribosome. It follows that negamycin does not show cross-resistance with other antibacterial agents that operate on the ribosome, whether this would be due to target modification, drug efflux, or drug metabolism. Because of the deficiencies of current drug regimens for the treatment of infections caused by Gram-negative pathogens, having a new agent brought to the infectious disease formulary represents a critical medical need, as has been promoted by the World Health Organization and other entities. Negamycin has been the subject of over 20 total syntheses, often highlighting stereoselective chemistry toward installing its two chiral centers on an acyclic chain. Novel synthetic methodologies thereby developed can stimulate the synthesis of novel analogs. With this, progress has been made in devising more potent analogs than negamycin. Structural work has determined that negamycin binds to the A-site of the 30S ribosome encounter complex with tRNA. Advancements have been made to understand the mechanism of transport of negamycin to the bacterial cytoplasm to enable engagement of the ribosome. This review surveys much of what has been published around negamycin and its analogs, including aspects of the biological spectrum of activity and mode of action as well as limitations that have held back clinical development.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 0.004 |
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".