Interplay between Catalysts and Substrates for Activity of Class Ib Aminoacyl-tRNA Synthetases and Implications for Pharmacology
Bibliographic record
Abstract
Aminoacyl-tRNA synthetase:transfer RNA (aaRS:tRNA) systems became recently essential targets in molecular medicine, because perturbed recognition of cognate tRNAs by aaRSs and poor precision in tRNA aminoacylation do not guarantee accurate protein biosynthesis, thus leading to diseases. Sets of identity determinants situated at particular zones of tRNA are responsible for functional accuracy. Recent work in X-ray crystallography has revealed various snapshots of aaRS:ligand complexes which represent the stages required for aminoacylation. Here we focus on a small group of class I aaRSs conserved in evolution, the ArgRSs, GluRSs, GlnRSs, and atypical LysRSs found mostly in Archaea and in a few Bacteria, that catalyze amino acid activation only in the presence of their cognate tRNAs. Structural and functional features of these aaRSs, ranked in subclass Ib, together with their peculiar mode of tRNA recognition and identity expression are reviewed and compared. Strategies to inhibit class Ib aaRS:tRNA aminoacylation systems, their dysfunction leading to human diseases, and the implications for pharmacology are outlined.
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 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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 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 | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".