Engineering a Structure Switching Mechanism into a Steroid-Binding Aptamer and Hydrodynamic Analysis of the Ligand Binding Mechanism
Bibliographic record
Abstract
The steroid binding mechanism of a DNA aptamer was studied using isothermal titration calorimetry (ITC), NMR spectroscopy, quasi-elastic light scattering (QELS), and small-angle X-ray spectroscopy (SAXS). Binding affinity determination of a series of steroid-binding aptamers derived from a parent cocaine-binding aptamer demonstrates that substituting a GA base pair with a GC base pair governs the switch in binding specificity from cocaine to the steroid deoxycholic acid (DCA). Binding of DCA to all aptamers is an enthalpically driven process with an unfavorable binding entropy. We engineered into the steroid-binding aptamer a ligand-induced folding mechanism by shortening the terminal stem by two base pairs. NMR methods were used to demonstrate that there is a transition from a state where base pairs are formed in one stem of the free aptamer, to where three stems are formed in the DCA-bound aptamer. The ability to generate a ligand-induced folding mechanism into a DNA aptamer architecture based on the three-way junction of the cocaine-binding aptamer opens the door to obtaining a series of aptamers all with ligand-induced folding mechanisms but triggered by different ligands. Hydrodynamic data from diffusion NMR spectroscopy, QELS, and SAXS show that for the aptamer with the full-length terminal stem there is a small amount of structure compaction with DCA binding. For ligand binding by the short terminal stem aptamer, we propose a binding mechanism where secondary structure forms upon DCA binding starting from a free structure where the aptamer exists in a compact form.
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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) | 0.000 | 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 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".