Thermodynamics of Interactions of TAlPyP4 and AgTAlPyP4 Porphyrins with Poly(rA)poly(rU) and Poly(rI)poly(rC) Duplexes
Bibliographic record
Abstract
We employed UV light absorption and circular dichroism (CD) spectroscopic measurements to study the binding of novel water-soluble porphyrins meso-tetra-(4N-allylpyridyl)porphyrin [TAlPyP4], and its Ag containing derivative to the poly(rA)poly(rU) and poly(rI)poly(rC) RNA duplexes. Our results suggest that TAlPyP4 associate with the duplexes via intercalation, whereas the conservative CD spectra indicates that AgTAlPyP4 preferably binds via outside self-stacking mode. We used our determined binding isotherms for each ligand-RNA binding event to calculate the binding constant, Kb, and binding free energy, DeltaGb = -RTlnKb. By performing these experiments as a function of temperature, we evaluated the van't Hoff binding enthalpies, DeltaH. The binding entropies, DeltaSb, were calculated as DeltaSb = (DeltaHb - DeltaGb)/T. We interpret our data in terms of specific interactions that stabilize/destabilize each ligand-RNA complex studied in this work. Taken together, our data provide important new information about the thermodynamics of interactions of porphyrins with nucleic acids.
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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 | 0.001 |
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".