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Record W4416334273 · doi:10.1002/ange.202519809

Sind i‐Motiv‐Strukturen in DNA kompatibel mit Cytosin–Ag(I)–Cytosin‐Basenpaaren?

2025· article· de· W4416334273 on OpenAlexfundno aff
Victoria Seiffert, Carmen López‐Chamorro, Catharina Erbacher, Uwe Kärst, Marian Hebenbrock, Heinz‐Bernhard Kraatz, Miguel A. Galindo, Jens Müller

Bibliographic record

VenueAngewandte Chemie · 2025
Typearticle
Languagede
FieldBiochemistry, Genetics and Molecular Biology
TopicDNA and Nucleic Acid Chemistry
Canadian institutionsnot available
FundersNatural Sciences and Engineering Research Council of CanadaDeutscher Akademischer AustauschdienstDeutsche ForschungsgemeinschaftFonds der Chemischen Industrie
KeywordsDNAContext (archaeology)Nuclear magnetic resonance spectroscopy

Abstract

fetched live from OpenAlex

Kurzzusammenfassung Zur Untersuchung, ob die Protonen aus hemiprotonierten C:CH + ‐Basenpaaren in i‐Motiv‐Strukturen durch Silberionen ersetzt werden können, wurde ein i‐Motiv/DNA‐Konjugat (IDJ, engl. i‐motif/duplex junction) untersucht, das auch bei pH 7 stabil ist. Interessanterweise kann nur das am besten zugängliche der fünf C:CH + ‐Basenpaare in der i‐Motiv‐Struktur in ein C–Ag I –C‐Basenpaar überführt werden, wie durch 1 H‐NMR‐Spektroskopie, Lumineszenzspektroskopie, temperaturabhängige UV‐Spektroskopie und isotherme Titrationskalorimetrie (ITC) belegt wurde. Liegt mehr als ein Silberion pro IDJ vor, zeigen Untersuchungen mittels dynamischer Lichtstreuung (DLS) und CD‐Spektroskopie, dass sich das IDJ in eine größere aggregierte Struktur umwandelt, die vermutlich nicht‐kanonische silbervermittelte Basenpaare enthält. Die Studie deutet darauf hin, dass – entgegen früherer Berichte – das i‐Motiv in DNA im Allgemeinen nicht kompatibel mit der Ausbildung benachbarter C–Ag I –C‐Basenpaare ist.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.002
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

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)0.0020.001

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 head0.008
GPT teacher head0.242
Teacher spread0.234 · 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 source (direct Gemma or distilled Codex), 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
Published2025
Admission routes1
Has abstractyes

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