Systematic Investigation of Tether Length and Phosphorus Configuration in Backbone Constrained Macrocyclic Nucleic Acids to Modulate Binding Kinetics for RNA
Bibliographic record
Abstract
We recently described a chemical strategy to pre-organize a trinucleotide subunit in a conformation suitable for Watson-Crick base pairing for modulating the binding kinetics of single-stranded oligonucleotides (ONs) using bis-phosphonate esters bridging hydrocarbon tethers to provide 11- and 15-membered macrocyclic analogues. In this manuscript, we describe the synthesis of all eight P-stereoisomers of macrocyclic 12-, 13-, 14-, and 16-membered hydrocarbon-bridged nucleotide trimers, their incorporation into ONs, and biophysical characterization of the modified ONs. The size of the macrocyclic tether and configuration at phosphorus had profound effects on hybridization kinetics. ONs containing 12- and 13-membered rings exhibited faster on-rates (up to 5-fold) and off-rates (up to 161-fold). In contrast, ONs using the larger ring size macrocycles generally exhibited smaller changes in binding kinetics relative to unmodified DNA. Interestingly, several of the analogues retained significant binding affinity for RNA based on their dissociation constants, despite being modestly destabilizing in the thermal denaturation experiments, highlighting the potential utility of measuring dissociation constants versus duplex thermal stability when evaluating novel nucleic acid analogues. Overall, our results provide additional insights into the ability of backbone-constrained macrocyclic nucleic acid analogues to modulate hybridization kinetics of modified ONs with RNA.
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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) | 0.000 | 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 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".