Molecular Mechanism of Avibactam-Mediated β-Lactamase Inhibition
Bibliographic record
Abstract
Emerging β-lactamase-mediated resistance is threatening the clinical utility of the single most prominent class of antibacterial agents used in medicine, the β-lactams. The diazabicyclooctane avibactam is able to inhibit a wider range of serine β-lactamases than has been previously observed with β-lactamase inhibitors such as the widely prescribed clavulanic acid. However, despite its broad-spectrum activity, variable levels of inhibition have been observed for molecular class D β-lactamases. In order to better understand the molecular basis and spectrum of inhibition by avibactam, we provide structural and mechanistic analysis of the compound in complex with important class A and D serine β-lactamases. Herein, we reveal the 1.7- and 2.0-Å-resolution crystal structures of avibactam covalently bound to class D β-lactamases OXA-10 and OXA-48. Furthermore, a kinetic analysis of key active-site mutants for class A β-lactamase CTX-M-15 allows us to propose a validated mechanism for avibactam-mediated β-lactamase inhibition including a unique role for S130, which acts as a general base. This study provides molecular insights that will aid in the design and development of avibactam-based chemotherapeutic agents effective against emerging drug-resistant microorganisms.
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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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 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 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".