DNA Balance for Native Characterization of Chemically Modified DNA
Bibliographic record
Abstract
Chemical modification is a powerful approach to expand the chemical diversity and functionality of natural DNA. However, when chemically modified oligonucleotides are employed in DNA-based reactions or structures, it becomes quite difficult to predict, understand, and control their kinetics and thermodynamics. To address this challenge, we introduce a rationally designed DNA balance capable of measuring critical thermodynamic and kinetic properties of chemically modified DNA in their native environment. Our DNA balance is operated using the principle of toehold-exchange, where a panel of weight probes were designed by tuning the lengths of forward and reverse toeholds. Once placed on the DNA balance, the chemical modification will be interrogated using the weight probes to determine changes in both Gibbs free energy and hybridization rate constant. Using cyclic-azobenzene (cAB)-modified DNA as a model system, we demonstrated that our DNA balance could not only measure stable chemical modifications, but also solve more challenging issues where unstable chemical modifications and transient isomerization reactions were involved. We anticipate that our DNA balance will find wide uses for measuring important thermodynamic and kinetic parameters for DNA carrying various chemical modifications, as well as for probing transient chemical changes in DNA.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 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".