Quinine Binding by the Cocaine-Binding Aptamer. Thermodynamic and Hydrodynamic Analysis of High-Affinity Binding of an Off-Target Ligand
Bibliographic record
Abstract
The cocaine-binding aptamer is unusual in that it tightly binds molecules other than the ligand it was selected for. Here, we study the interaction of the cocaine-binding aptamer with one of these off-target ligands, quinine. Isothermal titration calorimetry was used to quantify the quinine-binding affinity and thermodynamics of a set of sequence variants of the cocaine-binding aptamer. We find that the affinity of the cocaine-binding aptamer for quinine is 30-40 times stronger than it is for cocaine. Competitive-binding studies demonstrate that both quinine and cocaine bind at the same site on the aptamer. The ligand-induced structural-switching binding mechanism of an aptamer variant that contains three base pairs in stem 1 is retained with quinine as a ligand. The short stem 1 aptamer is unfolded or loosely folded in the free form and becomes folded when bound to quinine. This folding is confirmed by NMR spectroscopy and by the short stem 1 construct having a more negative change in heat capacity of quinine binding than is seen when stem 1 has six base pairs. Small-angle X-ray scattering (SAXS) studies of the free aptamer and both the quinine- and the cocaine-bound forms show that, for the long stem 1 aptamers, the three forms display similar hydrodynamic properties, and the ab initio shape reconstruction structures are very similar. For the short stem 1 aptamer there is a greater variation among the SAXS-derived ab initio shape reconstruction structures, consistent with the changes expected with its structural-switching binding mechanism.
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 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".