Detection of T-T Mismatches Using Mass Spectrometry: Specific Interactions of Hg(II) with Oligonucleotides Rich in Thymine (T)
Bibliographic record
Abstract
Electrospray ionization tandem mass spectrometry (ESI-MS/MS) was employed in a detailed study of the interactions of mercury dications with selected oligodeoxynucleotides rich and poor in thymine (T): d(5'-TT-3'), d(5'-TTT-3'), d(5'-TTTT-3'), d(5'-GG-3'), d(5'-CC-3'), d(5'-AA-3'), d(5'-GCTTGC-3'), d(5'-GTGCTC-3'), d(5'-GCATGC-3'), and d(5'-GCGCGC-3'). Specific interactions are observed for Hg(2+) with pure and mixed thymine sequences in which simultaneous bonding between two thymine units is indicated, and this is consistent with a model proposed in the literature in which Hg(2+) covalently coordinates to two thymines by replacing two N3 imino protons of the bases. The ESI-MS/MS measurements, combined with data on the thermal stability of mixed sequence hexadeoxynucleotides, indicate that mercury prefers thymines over the other binding sites in oligonucleotides both in solution and in the gas phase. These results point toward the effective use of Hg(2+) in the fast detection of mismatch base pairs incorporated in oligonucleotide duplexes and longer mixed DNA sequences using ESI-MS/MS.
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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) | 0.001 | 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 | 0.001 | 0.001 |
| 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".