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Record W2334863206 · doi:10.1021/jp1022373

Detection of T-T Mismatches Using Mass Spectrometry: Specific Interactions of Hg(II) with Oligonucleotides Rich in Thymine (T)

2010· article· en· W2334863206 on OpenAlexaff
Janna Anichina, Zoya Dobrusin, Diethard K. Böhme

Bibliographic record

VenueThe Journal of Physical Chemistry B · 2010
Typearticle
Languageen
FieldChemistry
TopicMass Spectrometry Techniques and Applications
Canadian institutionsYork University
Fundersnot available
KeywordsOligonucleotideMass spectrometryThymineChemistryCombinatorial chemistryChromatographyAnalytical Chemistry (journal)BiochemistryDNA

Abstract

fetched live from OpenAlex

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.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.479

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.011
GPT teacher head0.252
Teacher spread0.241 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations21
Published2010
Admission routes1
Has abstractyes

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