MétaCan
Menu
Back to cohort
Record W1995974397 · doi:10.1248/cpb.c13-00541

Quantum Chemical Study for Radical-Induced DNA Effects and Damage

2013· article· en· W1995974397 on OpenAlexaff
Tokihiro Niiya, Masahiko Kimura, Hiroyuki Tsutsumi, Takashi Ishizu, Nobufumi Ono

Bibliographic record

VenueChemical and Pharmaceutical Bulletin · 2013
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicDNA and Nucleic Acid Chemistry
Canadian institutionsPlant Biotechnology Institute
Fundersnot available
KeywordsChemistryCytosineGuaninePyrimidineReactivity (psychology)DNAPurineNucleobaseStereochemistryDNA damageRing (chemistry)Radical ionQuantum yieldHydroxyl radicalPhotochemistryRadicalBiochemistryEnzymeOrganic chemistryNucleotide

Abstract

fetched live from OpenAlex

Differences in molecular interaction between bases (adenine (A), guanine (G), and cytosine (C)) and the methyl (Me)-radical were investigated by perturbation analysis using the quantum chemical method. Part of the source of damage to the DNA was elucidated at the molecular level. In the reaction of each of the saccharide derivatives (dA, dG, and dC) with Me-radical, the reactivity of dG (≈dA) is more than about 10 times larger than that of dC. Therefore, it is expected that the base G (and A) was more than about 10 times than the base C in radical-reactivity of the base. For the reaction of dA and dG with the radical, the C(8) site of the partial purine ring of dA and dG, and the C(5) site of the pyrimidine ring of dC were the main reaction sites for methylation. In the reaction of DNA composed of hydrogen-bonded base pairs G-C and A-T with the radical, the purine ring in the constituent base G reacted preferentially with the radical to yield 8-methyl-guanines.

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 score0.032
Threshold uncertainty score0.958

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.014
GPT teacher head0.279
Teacher spread0.265 · 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

Citations0
Published2013
Admission routes1
Has abstractyes

Explore more

Same venueChemical and Pharmaceutical BulletinSame topicDNA and Nucleic Acid ChemistryFrench-language works237,207