Investigation of Bioisosteric Effects on the Interaction of Substrates/ Inhibitors with the Methionyl-tRNA Synthetase from Escherichia coli
Bibliographic record
Abstract
Aminoacyl-tRNA synthetases catalyze the stepwise coupling of specific amino acid substrates to their cognate tRNAs. The first intermediate formed in this process is the aminoacyl-adenylate, which then subsequently reacts with the 3'-terminus of the cognate tRNA to transfer the amino acid to the tRNA. This overall reaction is critical for protein biosynthesis and is quintessential to the viability of all organisms. Therefore, the selective inhibition of bacterial amino acid-tRNA synthetases is the focus of intense current interest for the development of novel antibacterial agents. In order to elucidate some of the critical factors involved in recognition and binding of potential inhibitors to these bacterial systems, the current report has focused on the methionyl-tRNA synthetase from Escherichia coli. This enzyme has been studied with two sets of bioisosteric replacements in the methionine and methionyl-adenylate structures. Replacements of the carboxyl group of methionine with the phosphinic and phosphonic acid moieties were used to probe the effects of including potential transition state analogs on enzyme inhibition. The contributions of the aminoacyl-adenylate structure and the effect that fluorination has on inhibitory activity were investigated utilizing 5'-O-[(L-methionyl)-sulfamoyl]adenosine and 5'-O-[(S-trifluoromethyl-L-homocysteinyl)-sulfamoyl]adenosine. The K(i) values for these compounds were determined to be 0.4 mM, 1.2 mM, 0.25 nM and 2.4 nM respectively. A discussion of this data in relation to structural information provided by the recent determination of the three-dimensional structures of the E. coli enzyme with several of these compounds is presented.
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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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".