Effect of Counterions on the Protonation State in a Poly(G)–Poly(C) Radical Cation
Bibliographic record
Abstract
The proton transfer process from a guanine to its complementary cytosine in a B-form d[GG] radical cation is investigated theoretically. The d[GG] radical cation is optimized by the ONIOM + PCM method. In this two-layer ONIOM method, the high layer consists of the π-stacked complementary base pairs with a hole charge, which is treated at the B97D/6-31G(d) level. The low layer includes the sugar-phosphate backbone and sodium ions, which is treated with the Amber99SB/Parmbsc0 force field. Our calculations reveal that the stabilization of the deprotonated state in d[GG] oligomers is related to the location of sodium ions. When sodium ions are located near phosphate groups, the proton prefers bonding with the guanine, and 80% of the hole charge is delocalized on the guanine residues. When sodium ions are placed in the major groove, the deprotonated state is favorable, and 70% of the hole charge localizes on the corresponding guanine-cytosine pair. According to the natural bond orbital analysis, the N-H···N hydrogen bond between the guanine-cytosine pair provides an important contribution to the stabilization of the deprotonated state. Stabilization of this hydrogen bond is very sensitive to the d[GG] oligomer configuration. In summary, the proton transfer process in a guanine-cytosine pair of poly(G)-poly(C) radical cations is largely affected by the arrangement of counterions.
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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) | 0.003 | 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".