Exploring the potential of phosphotriazole 5′ mRNA cap analogues as efficient translation initiators
Bibliographic record
Abstract
Augmenting the mRNA translation efficiency and stability by replacing the standard 7-methylguanosine 5'-cap with properly designed analogues is a viable strategy for increasing the in vivo expression of proteins from exogenously delivered mRNA. However, the development of novel cap analogues with superior biological properties is hampered by the challenges associated with the synthesis of such highly modified nucleotides. To provide a simpler alternative to traditional methods for cap analogue preparation, we have recently proposed a click-chemistry-based strategy for the synthesis of dinucleotide cap analogues and identified several triazole-containing compounds with promising biochemical properties. Here, we further explored the concept of CuAAC-mediated cap synthesis by designing and studying 'second generation' triazole-modified caps, which were derived from the most promising 'first generation' compounds by modifying the oligophosphate chain length, altering the position of the triazole moiety, or replacing chemically labile P-N bonds with P-O bonds. The biochemical properties of the new analogues were evaluated by determining their affinity for eIF4E, susceptibility to hDcp2-catalysed decapping, and translation efficiencies in vitro and in cultured cells. The results led to identification of cap analogues that have superior translational properties compared to standard caps and the parent triazole-modified compounds as well as provided directions for future improvements.
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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".