Mechanism of a GatCAB Amidotransferase: Aspartyl-tRNA Synthetase Increases Its Affinity for Asp-tRNA<sup>Asn</sup> and Novel Aminoacyl-tRNA Analogues Are Competitive Inhibitors
Bibliographic record
Abstract
The trimeric GatCAB aminoacyl-tRNA amidotransferases catalyze the amidation of Asp-tRNAAsn and/or Glu-tRNAGln to Asn-tRNAAsn and/or Gln-tRNAGln, respectively, in bacteria and archaea lacking an asparaginyl-tRNA synthetase and/or a glutaminyl-tRNA synthetase. The two misacylated tRNA substrates of these amidotransferases are formed by the action of nondiscriminating aspartyl-tRNA synthetases and glutamyl-tRNA synthetases. We report here that the presence of a physiological concentration of a nondiscriminating aspartyl-tRNA synthetase in the transamidation assay decreases the Km of GatCAB for Asp-tRNAAsn. These conditions, which were practical for the testing of potential inhibitors of GatCAB, also allowed us to discover and characterize two novel inhibitors, aspartycin and glutamycin. These analogues of the 3'-ends of Asp-tRNA and Glu-tRNA, respectively, are competitive inhibitors of the transamidase activity of Helicobacter pylori GatCAB with respect to Asp-tRNAAsn, with Ki values of 134 microM and 105 microM, respectively. Although the 3' end of aspartycin is similar to the 3' end of Asp-tRNAAsn, this analogue was neither phosphorylated nor transamidated by GatCAB. These novel inhibitors could be used as lead compounds for designing new types of antibiotics targeting GatCABs, since the indirect pathway for Asn-tRNAAsn or Gln-tRNAGln synthesis catalyzed by these enzymes is not present in eukaryotes and is essential for the survival of the above-mentioned bacteria.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".